Oncology

Background

Studies show that early referral to Specialty Palliative Care (SPC) can improve patient- reported outcomes among Veterans with cancer; quality metrics include referral within 8 weeks of an advanced cancer diagnosis. In this study, we explored timeliness of specialty referrals and compared various factors.

Methods

We identified our cohort using Department of Veterans Affairs (VA) Corporate Data Warehouse (CDW). Eligibility criteria included active or history of cancer—using a peer-reviewed, in-house list of ICD-9 and ICD-10 codes—between 2013-2023. We stratified our cohort of Veterans using factors including cancer stage, rurality, and care assessment needs (CAN) scores. We performed survival analyses to look at time to SPC from initial diagnosis and peak CAN score. Predictors of utilization were evaluated using multinomial regression and Cox proportional hazards models through R.

Results

Using CDW’s oncology domain, we identified 475,775 Veterans. 28% received SPC. Most received it near the end of their life as evidenced by the mortality rates (79.5%) in the early period following SPC consultation. Median time to SPC was 515 days. There was a significant difference in utilization rates between urban and rural Veterans (Wilcoxon W-statistic = 2.31E+10, p < 0.001). Peak CAN scores ranged from 0 to 0.81, median peak of 0.057 and interquartile range of 0.1. Multinomial regression model indicated statistically significant associations of advanced cancer (Stages 3 and 4) with timing of SPC. Stage 4 cancer showed the strongest association with receipt of palliative care within 60 days of initial diagnosis (OR 4.8, 95% CI: 4.69-4.93, p < 0.001), suggesting higher stage disease increases the likelihood of palliative care referral and accelerates the timing of these referrals.

Conclusions

We found Veterans received SPC from a broad range of peak CAN scores (0 to 0.81), suggesting that absolute CAN scores may not be clinically actionable indicators but perhaps indicative of changes in condition warranting referral. Stage IV cancer at diagnosis was associated with early SPC. The significant differences in utilization rates between urban and rural patients highlight potential access barriers that should be addressed.

Background

Studies show that early referral to Specialty Palliative Care (SPC) can improve patient- reported outcomes among Veterans with cancer; quality metrics include referral within 8 weeks of an advanced cancer diagnosis. In this study, we explored timeliness of specialty referrals and compared various factors.

Methods

We identified our cohort using Department of Veterans Affairs (VA) Corporate Data Warehouse (CDW). Eligibility criteria included active or history of cancer—using a peer-reviewed, in-house list of ICD-9 and ICD-10 codes—between 2013-2023. We stratified our cohort of Veterans using factors including cancer stage, rurality, and care assessment needs (CAN) scores. We performed survival analyses to look at time to SPC from initial diagnosis and peak CAN score. Predictors of utilization were evaluated using multinomial regression and Cox proportional hazards models through R.

Results

Using CDW’s oncology domain, we identified 475,775 Veterans. 28% received SPC. Most received it near the end of their life as evidenced by the mortality rates (79.5%) in the early period following SPC consultation. Median time to SPC was 515 days. There was a significant difference in utilization rates between urban and rural Veterans (Wilcoxon W-statistic = 2.31E+10, p < 0.001). Peak CAN scores ranged from 0 to 0.81, median peak of 0.057 and interquartile range of 0.1. Multinomial regression model indicated statistically significant associations of advanced cancer (Stages 3 and 4) with timing of SPC. Stage 4 cancer showed the strongest association with receipt of palliative care within 60 days of initial diagnosis (OR 4.8, 95% CI: 4.69-4.93, p < 0.001), suggesting higher stage disease increases the likelihood of palliative care referral and accelerates the timing of these referrals.

Conclusions

We found Veterans received SPC from a broad range of peak CAN scores (0 to 0.81), suggesting that absolute CAN scores may not be clinically actionable indicators but perhaps indicative of changes in condition warranting referral. Stage IV cancer at diagnosis was associated with early SPC. The significant differences in utilization rates between urban and rural patients highlight potential access barriers that should be addressed.

Background

Studies show that early referral to Specialty Palliative Care (SPC) can improve patient- reported outcomes among Veterans with cancer; quality metrics include referral within 8 weeks of an advanced cancer diagnosis. In this study, we explored timeliness of specialty referrals and compared various factors.

Methods

We identified our cohort using Department of Veterans Affairs (VA) Corporate Data Warehouse (CDW). Eligibility criteria included active or history of cancer—using a peer-reviewed, in-house list of ICD-9 and ICD-10 codes—between 2013-2023. We stratified our cohort of Veterans using factors including cancer stage, rurality, and care assessment needs (CAN) scores. We performed survival analyses to look at time to SPC from initial diagnosis and peak CAN score. Predictors of utilization were evaluated using multinomial regression and Cox proportional hazards models through R.

Results

Using CDW’s oncology domain, we identified 475,775 Veterans. 28% received SPC. Most received it near the end of their life as evidenced by the mortality rates (79.5%) in the early period following SPC consultation. Median time to SPC was 515 days. There was a significant difference in utilization rates between urban and rural Veterans (Wilcoxon W-statistic = 2.31E+10, p < 0.001). Peak CAN scores ranged from 0 to 0.81, median peak of 0.057 and interquartile range of 0.1. Multinomial regression model indicated statistically significant associations of advanced cancer (Stages 3 and 4) with timing of SPC. Stage 4 cancer showed the strongest association with receipt of palliative care within 60 days of initial diagnosis (OR 4.8, 95% CI: 4.69-4.93, p < 0.001), suggesting higher stage disease increases the likelihood of palliative care referral and accelerates the timing of these referrals.

Conclusions

We found Veterans received SPC from a broad range of peak CAN scores (0 to 0.81), suggesting that absolute CAN scores may not be clinically actionable indicators but perhaps indicative of changes in condition warranting referral. Stage IV cancer at diagnosis was associated with early SPC. The significant differences in utilization rates between urban and rural patients highlight potential access barriers that should be addressed.

Background

To close the food insecurity gap by providing food assistance and increasing opportunities for screening in Veterans receiving cancer treatment at a VA outpatient cancer clinic. Food Insecurity is associated with chronic disease such as cancer given insufficient access to nutritious foods leading to nutritional deficiencies and worsening health outcomes. The rates of food insecurity among Veterans revealed 28% of female veterans and 16% overall in male Veterans were faced with limited or uncertain access to adequate food.

Methods

A pivotal distress screening occurs at time of education consult or cycle 1 day 1 of antineoplastic therapy. A positive screening for any practical concern generates a discussion about food insecurity. A positive distress screen triggers an oncology social work referral to complete a systematic screening assessing circumstances and offering resources for needs (ACORN).

Results

Root cause analysis uncovered 24% of Veterans with cancer screened positive for food insecurity in the 9E oncology outpatient clinic. Post-implementation of robust screenings and conversation initiatives identified 36 unique Veterans who received 251 meals from July to December 2024.

Sustainability/Scalability

Prospective screening of Veterans at the time of a cancer diagnosis and ongoing screening during cancer treatment is the first step toward uncovering food insecurity and addressing this social determinate of health. A standard operating procedure following VA guidance and distress management guidelines should be updated as required. Oversight of the cancer leadership team annually evaluates the distress process, and the findings are reported to the cancer committee.

Conclusions

Uncovering food insecurity in Veterans at time of diagnosis and during cancer treatment is critical to optimize treatment outcomes. A systematic and robust screening standard operating procedure is key to implement. Veterans are a unique population with a spectrum of socioeconomic needs. Case management conferences or weekly huddles to discuss the Veteran’s needs will ensure food insecurity is addressed. Collection and analysis of screening data will highlight a program’s food insecurity need and supports community partnerships to available food resources and the opportunity to create a cancer outpatient clinic food hub for Veterans receiving cancer treatment.

Background

To close the food insecurity gap by providing food assistance and increasing opportunities for screening in Veterans receiving cancer treatment at a VA outpatient cancer clinic. Food Insecurity is associated with chronic disease such as cancer given insufficient access to nutritious foods leading to nutritional deficiencies and worsening health outcomes. The rates of food insecurity among Veterans revealed 28% of female veterans and 16% overall in male Veterans were faced with limited or uncertain access to adequate food.

Methods

A pivotal distress screening occurs at time of education consult or cycle 1 day 1 of antineoplastic therapy. A positive screening for any practical concern generates a discussion about food insecurity. A positive distress screen triggers an oncology social work referral to complete a systematic screening assessing circumstances and offering resources for needs (ACORN).

Results

Root cause analysis uncovered 24% of Veterans with cancer screened positive for food insecurity in the 9E oncology outpatient clinic. Post-implementation of robust screenings and conversation initiatives identified 36 unique Veterans who received 251 meals from July to December 2024.

Sustainability/Scalability

Prospective screening of Veterans at the time of a cancer diagnosis and ongoing screening during cancer treatment is the first step toward uncovering food insecurity and addressing this social determinate of health. A standard operating procedure following VA guidance and distress management guidelines should be updated as required. Oversight of the cancer leadership team annually evaluates the distress process, and the findings are reported to the cancer committee.

Conclusions

Uncovering food insecurity in Veterans at time of diagnosis and during cancer treatment is critical to optimize treatment outcomes. A systematic and robust screening standard operating procedure is key to implement. Veterans are a unique population with a spectrum of socioeconomic needs. Case management conferences or weekly huddles to discuss the Veteran’s needs will ensure food insecurity is addressed. Collection and analysis of screening data will highlight a program’s food insecurity need and supports community partnerships to available food resources and the opportunity to create a cancer outpatient clinic food hub for Veterans receiving cancer treatment.

Background

To close the food insecurity gap by providing food assistance and increasing opportunities for screening in Veterans receiving cancer treatment at a VA outpatient cancer clinic. Food Insecurity is associated with chronic disease such as cancer given insufficient access to nutritious foods leading to nutritional deficiencies and worsening health outcomes. The rates of food insecurity among Veterans revealed 28% of female veterans and 16% overall in male Veterans were faced with limited or uncertain access to adequate food.

Methods

A pivotal distress screening occurs at time of education consult or cycle 1 day 1 of antineoplastic therapy. A positive screening for any practical concern generates a discussion about food insecurity. A positive distress screen triggers an oncology social work referral to complete a systematic screening assessing circumstances and offering resources for needs (ACORN).

Results

Root cause analysis uncovered 24% of Veterans with cancer screened positive for food insecurity in the 9E oncology outpatient clinic. Post-implementation of robust screenings and conversation initiatives identified 36 unique Veterans who received 251 meals from July to December 2024.

Sustainability/Scalability

Prospective screening of Veterans at the time of a cancer diagnosis and ongoing screening during cancer treatment is the first step toward uncovering food insecurity and addressing this social determinate of health. A standard operating procedure following VA guidance and distress management guidelines should be updated as required. Oversight of the cancer leadership team annually evaluates the distress process, and the findings are reported to the cancer committee.

Conclusions

Uncovering food insecurity in Veterans at time of diagnosis and during cancer treatment is critical to optimize treatment outcomes. A systematic and robust screening standard operating procedure is key to implement. Veterans are a unique population with a spectrum of socioeconomic needs. Case management conferences or weekly huddles to discuss the Veteran’s needs will ensure food insecurity is addressed. Collection and analysis of screening data will highlight a program’s food insecurity need and supports community partnerships to available food resources and the opportunity to create a cancer outpatient clinic food hub for Veterans receiving cancer treatment.

Background

Prostate cancer is the most common non-cutaneous malignancy at the Veterans Health Administration (VHA) and every year approximately 15,000 Veterans are diagnosed and treated. Many advanced prostate cancer cases harbor genetic mutations that significantly impact prognosis, treatment decisions, and familial screening. In February 2021, the Prostate Cancer Molecular Testing Pathway (PCMTP) flow map was developed to increase appropriate genetic testing.

Methods

VHA initiated the Oncology Clinical Pathways (OCP) program to standardize cancer care for Veterans. The PCMTP was developed by a multidisciplinary team that created interactive templates within the Computerized Patient Record System (CPRS), to facilitate identification of eligible Veterans for germline and comprehensive genomic profiling (CGP). Clinical decision-making for these tests is documented as Health Factors (HF), in CPRS, allowing for assessment of pathway adherence and overall uptake.

Results

The PCMTP has achieved success, as there is over 90% compliance to molecular testing among participating Veterans which exceeds the pathway benchmark of 80%. PCMTP has been utilized at 88 VA sites, by over 700 distinct VA providers, with over 7,000 Veterans participating. This implementation has yielded over 19,200 Health Factors within CPRS.

Conclusions

The PCMTP has markedly improved the documentation and application of germline and CGP testing among Veterans diagnosed with prostate cancer. By facilitating genomic testing in appropriate patients, the PCMTP aims to enhance patient outcomes and optimize the quality of care. Prior to PCMTP establishment, assessing the prevalence of germline and CGP testing in eligible Veterans posed significant challenges. Future work will concentrate on increasing PCMTP utilization, evaluating downstream outcomes from genomic testing, including the identification of pathogenic variants, utilization of genetic counseling services, referrals to clinical trials, and the genomic impact on treatment strategies.

Background

Prostate cancer is the most common non-cutaneous malignancy at the Veterans Health Administration (VHA) and every year approximately 15,000 Veterans are diagnosed and treated. Many advanced prostate cancer cases harbor genetic mutations that significantly impact prognosis, treatment decisions, and familial screening. In February 2021, the Prostate Cancer Molecular Testing Pathway (PCMTP) flow map was developed to increase appropriate genetic testing.

Methods

VHA initiated the Oncology Clinical Pathways (OCP) program to standardize cancer care for Veterans. The PCMTP was developed by a multidisciplinary team that created interactive templates within the Computerized Patient Record System (CPRS), to facilitate identification of eligible Veterans for germline and comprehensive genomic profiling (CGP). Clinical decision-making for these tests is documented as Health Factors (HF), in CPRS, allowing for assessment of pathway adherence and overall uptake.

Results

The PCMTP has achieved success, as there is over 90% compliance to molecular testing among participating Veterans which exceeds the pathway benchmark of 80%. PCMTP has been utilized at 88 VA sites, by over 700 distinct VA providers, with over 7,000 Veterans participating. This implementation has yielded over 19,200 Health Factors within CPRS.

Conclusions

The PCMTP has markedly improved the documentation and application of germline and CGP testing among Veterans diagnosed with prostate cancer. By facilitating genomic testing in appropriate patients, the PCMTP aims to enhance patient outcomes and optimize the quality of care. Prior to PCMTP establishment, assessing the prevalence of germline and CGP testing in eligible Veterans posed significant challenges. Future work will concentrate on increasing PCMTP utilization, evaluating downstream outcomes from genomic testing, including the identification of pathogenic variants, utilization of genetic counseling services, referrals to clinical trials, and the genomic impact on treatment strategies.

Background

Prostate cancer is the most common non-cutaneous malignancy at the Veterans Health Administration (VHA) and every year approximately 15,000 Veterans are diagnosed and treated. Many advanced prostate cancer cases harbor genetic mutations that significantly impact prognosis, treatment decisions, and familial screening. In February 2021, the Prostate Cancer Molecular Testing Pathway (PCMTP) flow map was developed to increase appropriate genetic testing.

Methods

VHA initiated the Oncology Clinical Pathways (OCP) program to standardize cancer care for Veterans. The PCMTP was developed by a multidisciplinary team that created interactive templates within the Computerized Patient Record System (CPRS), to facilitate identification of eligible Veterans for germline and comprehensive genomic profiling (CGP). Clinical decision-making for these tests is documented as Health Factors (HF), in CPRS, allowing for assessment of pathway adherence and overall uptake.

Results

The PCMTP has achieved success, as there is over 90% compliance to molecular testing among participating Veterans which exceeds the pathway benchmark of 80%. PCMTP has been utilized at 88 VA sites, by over 700 distinct VA providers, with over 7,000 Veterans participating. This implementation has yielded over 19,200 Health Factors within CPRS.

Conclusions

The PCMTP has markedly improved the documentation and application of germline and CGP testing among Veterans diagnosed with prostate cancer. By facilitating genomic testing in appropriate patients, the PCMTP aims to enhance patient outcomes and optimize the quality of care. Prior to PCMTP establishment, assessing the prevalence of germline and CGP testing in eligible Veterans posed significant challenges. Future work will concentrate on increasing PCMTP utilization, evaluating downstream outcomes from genomic testing, including the identification of pathogenic variants, utilization of genetic counseling services, referrals to clinical trials, and the genomic impact on treatment strategies.

Purpose

Biorepositories are critical to scientific research within the VA. They offer high-quality, well-characterized biospecimens linked to clinical, demographic, and molecular data. Biorepositories support studies on disease mechanisms, personalized therapies, and emerging infectious diseases by systematically collecting, processing, storing, and distributing biological materials, including tissue, blood, and DNA samples. Within the Department of Veterans Affairs (VA), biorepositories provide essential support to clinical and translational research on service- related conditions such as PTSD, traumatic brain injury, cancers, and toxic exposures. While the need for harmonized quality processes and resource allocation has long been acknowledged within the biorepository community (Siwek, 2015), each biorepository operates independently, limiting scalability and standardization. This quality improvement project describes a collaboration between two VA biorepository sites supporting a national genomic study investigating disease risk and treatment outcomes. The project aimed to expand capacity, improve processing times, and enhance quality control. Each site mirrors the other’s functions, including receiving, accessioning, processing, storing, and shipping biospecimens, and serves as a contingency site to strengthen operational resilience.

Methods

To address space limitations and improve processing efficiency, one site implemented a custom rack design, expanding storage capacity per freezer. Robotic workflows were optimized, reducing biospecimen processing time. An in-process quality control step was introduced to identify data discrepancies earlier in the workflow, reducing investigation time and supporting overall data integrity. Efficiency was measured by the increase in storage capacity and decreased processing time. Descriptive statistics were used to evaluate changes in performance. Metrics were monitored over twelve months and compared against baseline data.

Results

Following implementation, storage capacity per freezer increased by 20%, and specimen processing time decreased by 30%. The new quality control checkpoint reduced investigation times by 98%, resulting in a more streamlined workflow. These improvements enhanced coordination between sites and improved support for ongoing studies.

Conclusions

This effort demonstrates that collaboration between biorepositories can significantly enhance efficiency, reduce turnaround times, and support high-quality research. Strengthening infrastructure through joint initiatives enables more effective support of large-scale clinical studies and contributes to improved outcomes for Veterans. These findings may also inform process improvements at other VA research facilities.

Purpose

Biorepositories are critical to scientific research within the VA. They offer high-quality, well-characterized biospecimens linked to clinical, demographic, and molecular data. Biorepositories support studies on disease mechanisms, personalized therapies, and emerging infectious diseases by systematically collecting, processing, storing, and distributing biological materials, including tissue, blood, and DNA samples. Within the Department of Veterans Affairs (VA), biorepositories provide essential support to clinical and translational research on service- related conditions such as PTSD, traumatic brain injury, cancers, and toxic exposures. While the need for harmonized quality processes and resource allocation has long been acknowledged within the biorepository community (Siwek, 2015), each biorepository operates independently, limiting scalability and standardization. This quality improvement project describes a collaboration between two VA biorepository sites supporting a national genomic study investigating disease risk and treatment outcomes. The project aimed to expand capacity, improve processing times, and enhance quality control. Each site mirrors the other’s functions, including receiving, accessioning, processing, storing, and shipping biospecimens, and serves as a contingency site to strengthen operational resilience.

Methods

To address space limitations and improve processing efficiency, one site implemented a custom rack design, expanding storage capacity per freezer. Robotic workflows were optimized, reducing biospecimen processing time. An in-process quality control step was introduced to identify data discrepancies earlier in the workflow, reducing investigation time and supporting overall data integrity. Efficiency was measured by the increase in storage capacity and decreased processing time. Descriptive statistics were used to evaluate changes in performance. Metrics were monitored over twelve months and compared against baseline data.

Results

Following implementation, storage capacity per freezer increased by 20%, and specimen processing time decreased by 30%. The new quality control checkpoint reduced investigation times by 98%, resulting in a more streamlined workflow. These improvements enhanced coordination between sites and improved support for ongoing studies.

Conclusions

This effort demonstrates that collaboration between biorepositories can significantly enhance efficiency, reduce turnaround times, and support high-quality research. Strengthening infrastructure through joint initiatives enables more effective support of large-scale clinical studies and contributes to improved outcomes for Veterans. These findings may also inform process improvements at other VA research facilities.

Purpose

Biorepositories are critical to scientific research within the VA. They offer high-quality, well-characterized biospecimens linked to clinical, demographic, and molecular data. Biorepositories support studies on disease mechanisms, personalized therapies, and emerging infectious diseases by systematically collecting, processing, storing, and distributing biological materials, including tissue, blood, and DNA samples. Within the Department of Veterans Affairs (VA), biorepositories provide essential support to clinical and translational research on service- related conditions such as PTSD, traumatic brain injury, cancers, and toxic exposures. While the need for harmonized quality processes and resource allocation has long been acknowledged within the biorepository community (Siwek, 2015), each biorepository operates independently, limiting scalability and standardization. This quality improvement project describes a collaboration between two VA biorepository sites supporting a national genomic study investigating disease risk and treatment outcomes. The project aimed to expand capacity, improve processing times, and enhance quality control. Each site mirrors the other’s functions, including receiving, accessioning, processing, storing, and shipping biospecimens, and serves as a contingency site to strengthen operational resilience.

Methods

To address space limitations and improve processing efficiency, one site implemented a custom rack design, expanding storage capacity per freezer. Robotic workflows were optimized, reducing biospecimen processing time. An in-process quality control step was introduced to identify data discrepancies earlier in the workflow, reducing investigation time and supporting overall data integrity. Efficiency was measured by the increase in storage capacity and decreased processing time. Descriptive statistics were used to evaluate changes in performance. Metrics were monitored over twelve months and compared against baseline data.

Results

Following implementation, storage capacity per freezer increased by 20%, and specimen processing time decreased by 30%. The new quality control checkpoint reduced investigation times by 98%, resulting in a more streamlined workflow. These improvements enhanced coordination between sites and improved support for ongoing studies.

Conclusions

This effort demonstrates that collaboration between biorepositories can significantly enhance efficiency, reduce turnaround times, and support high-quality research. Strengthening infrastructure through joint initiatives enables more effective support of large-scale clinical studies and contributes to improved outcomes for Veterans. These findings may also inform process improvements at other VA research facilities.

Background

Offering participation in clinical trials is a standard of care practice in oncology. It is also considered a quality indicator by various professional cancer societies, including the American Societies of Hematology (ASH) and Clinical Oncology (ASCO). In 2023, VA launched Clinical Cancer Research Services (CCRS) to ensure that all Veterans with cancer can participate in a clinical trial should they choose to do so. Research teams struggle to identify and engage potentially eligible patients. This is a complex process involving eligibility screening, outreach, and personalized support, which frequently involves a manual workflow with inefficiencies, delays, and missed opportunities for patients. To support CCRS’s mission, we used VA Enterprise Cloud (VAEC) to rapidly develop a clinical workflow support application for CCRS team members.

Methods

We used an internally developed framework to rapidly define program aims, provider workflows, opportunities to augment with data products, and lean principles applied to health information technology to design a clinical workflow supporting application. Data products leveraged VAEC’s Summit Data Platform (SDP), an open, multi-cloud platform for ingesting, curating, and managing multi-source VHA data into usable products. User interface was developed in a low code/no code power platform environment, which integrates with SDP and is also available in VAEC.

Results

An initial aim was identified as supporting engagement for the ‘Reaching Rural Cancer Survivors Who Smoke Using Text-based Cessation Interventions’ study. Augmented workflow was identified by meeting principal stakeholders and staff. Data product development involved retrieval of cancer diagnoses from the VA cancer registry system and smoking status from CDW HealthFactors. Rural residence was identified using 2023 Rural-Urban Continuum Codes. Application design, testing and refinement followed. Design to implementation was accomplished over the span of two months: from Aug 5, 2024 to Oct 3, 2024. Over the next seven months, the application identified 2,603 potentially eligible Veterans, and a single navigator using the tool was able to review 456 cases, send 189 study letters, and enroll 5 Veterans.

Conclusions

Clinical workflow support tools that leverage cloud infrastructure such as VAEC and Summit Data Platform can improve system efficiencies and increase access to clinical trials.

Background

Offering participation in clinical trials is a standard of care practice in oncology. It is also considered a quality indicator by various professional cancer societies, including the American Societies of Hematology (ASH) and Clinical Oncology (ASCO). In 2023, VA launched Clinical Cancer Research Services (CCRS) to ensure that all Veterans with cancer can participate in a clinical trial should they choose to do so. Research teams struggle to identify and engage potentially eligible patients. This is a complex process involving eligibility screening, outreach, and personalized support, which frequently involves a manual workflow with inefficiencies, delays, and missed opportunities for patients. To support CCRS’s mission, we used VA Enterprise Cloud (VAEC) to rapidly develop a clinical workflow support application for CCRS team members.

Methods

We used an internally developed framework to rapidly define program aims, provider workflows, opportunities to augment with data products, and lean principles applied to health information technology to design a clinical workflow supporting application. Data products leveraged VAEC’s Summit Data Platform (SDP), an open, multi-cloud platform for ingesting, curating, and managing multi-source VHA data into usable products. User interface was developed in a low code/no code power platform environment, which integrates with SDP and is also available in VAEC.

Results

An initial aim was identified as supporting engagement for the ‘Reaching Rural Cancer Survivors Who Smoke Using Text-based Cessation Interventions’ study. Augmented workflow was identified by meeting principal stakeholders and staff. Data product development involved retrieval of cancer diagnoses from the VA cancer registry system and smoking status from CDW HealthFactors. Rural residence was identified using 2023 Rural-Urban Continuum Codes. Application design, testing and refinement followed. Design to implementation was accomplished over the span of two months: from Aug 5, 2024 to Oct 3, 2024. Over the next seven months, the application identified 2,603 potentially eligible Veterans, and a single navigator using the tool was able to review 456 cases, send 189 study letters, and enroll 5 Veterans.

Conclusions

Clinical workflow support tools that leverage cloud infrastructure such as VAEC and Summit Data Platform can improve system efficiencies and increase access to clinical trials.

Background

Offering participation in clinical trials is a standard of care practice in oncology. It is also considered a quality indicator by various professional cancer societies, including the American Societies of Hematology (ASH) and Clinical Oncology (ASCO). In 2023, VA launched Clinical Cancer Research Services (CCRS) to ensure that all Veterans with cancer can participate in a clinical trial should they choose to do so. Research teams struggle to identify and engage potentially eligible patients. This is a complex process involving eligibility screening, outreach, and personalized support, which frequently involves a manual workflow with inefficiencies, delays, and missed opportunities for patients. To support CCRS’s mission, we used VA Enterprise Cloud (VAEC) to rapidly develop a clinical workflow support application for CCRS team members.

Methods

We used an internally developed framework to rapidly define program aims, provider workflows, opportunities to augment with data products, and lean principles applied to health information technology to design a clinical workflow supporting application. Data products leveraged VAEC’s Summit Data Platform (SDP), an open, multi-cloud platform for ingesting, curating, and managing multi-source VHA data into usable products. User interface was developed in a low code/no code power platform environment, which integrates with SDP and is also available in VAEC.

Results

An initial aim was identified as supporting engagement for the ‘Reaching Rural Cancer Survivors Who Smoke Using Text-based Cessation Interventions’ study. Augmented workflow was identified by meeting principal stakeholders and staff. Data product development involved retrieval of cancer diagnoses from the VA cancer registry system and smoking status from CDW HealthFactors. Rural residence was identified using 2023 Rural-Urban Continuum Codes. Application design, testing and refinement followed. Design to implementation was accomplished over the span of two months: from Aug 5, 2024 to Oct 3, 2024. Over the next seven months, the application identified 2,603 potentially eligible Veterans, and a single navigator using the tool was able to review 456 cases, send 189 study letters, and enroll 5 Veterans.

Conclusions

Clinical workflow support tools that leverage cloud infrastructure such as VAEC and Summit Data Platform can improve system efficiencies and increase access to clinical trials.

Background

Department of Veterans Affairs (VA) faces a landscape of increasingly complex practice, especially in Hematology/Oncology (H/O), and a nationwide shortage of healthcare providers, while serving more Veterans than ever before. To understand current and future staffing needs, the VA National Oncology Program performed an assessment of H/O staffing, including attending physicians, residents/ fellows, licensed independent practitioners (LIPs) (nurse practitioners/physician assistants), and nurses for fiscal years (FY) 19–24.

Methods

Using VA Corporate Data Warehouse, we identified H/O visits in VA from 10/01/2018 through 09/30/2024 using stop codes. No-show (< 0.00001%) and National TeleOncology appointments (1%) were removed. We retrieved all notes associated with resulting visits and used area-ofspecialization and provider-type data to identify all attending physicians, trainees, LIPs, and nurses who authored or cosigned these notes. We identified H/O staff as 1. those associated with H/O clinic locations, 2. physicians who consistently cosigned H/O notes authored by fellows and LIPs associated with H/O locations, 3. fellows and LIPs authoring notes that were then cosigned by H/O physicians, and 4. nurses authoring notes associated with H/O visits.

Analysis

For each FY, we obtained total numbers of visits, unique patients, and care-providing staff by type. For validation, collaborating providers at several sites reviewed visit information, and a colleague also performed an independent, parallel data extraction. We adjusted FY totals to account for the growing patient population by dividing unique staff count by number of unique patients and multiplying by 200,000 (the approximate number of unique patients in FY19).

Results

From FY19 through FY24, VA Hematology/ Oncology saw a 14.6% rise in unique patients (from 232,084 to 265,926) and a 15.4% rise in visits (from 923,175 to 1,065,186). The absolute number of attendings rose by 4 (0.6%); of LIPs, by 138 (14.4%); and of nurses, by 142 (4.9%); trainees fell by 102 (4.3%). Adjusted to 200,000 patients, the number of attendings fell by 76 (12.3%); LIPs, by 1 (0.1%); trainees, by 335 (16.5%); and nurses, by 211 (8.4%).

Conclusions

Adjusted to number of Veterans, there are 10.4% fewer staff in Hematology/Oncology in FY24 compared to FY19.

Background

Department of Veterans Affairs (VA) faces a landscape of increasingly complex practice, especially in Hematology/Oncology (H/O), and a nationwide shortage of healthcare providers, while serving more Veterans than ever before. To understand current and future staffing needs, the VA National Oncology Program performed an assessment of H/O staffing, including attending physicians, residents/ fellows, licensed independent practitioners (LIPs) (nurse practitioners/physician assistants), and nurses for fiscal years (FY) 19–24.

Methods

Using VA Corporate Data Warehouse, we identified H/O visits in VA from 10/01/2018 through 09/30/2024 using stop codes. No-show (< 0.00001%) and National TeleOncology appointments (1%) were removed. We retrieved all notes associated with resulting visits and used area-ofspecialization and provider-type data to identify all attending physicians, trainees, LIPs, and nurses who authored or cosigned these notes. We identified H/O staff as 1. those associated with H/O clinic locations, 2. physicians who consistently cosigned H/O notes authored by fellows and LIPs associated with H/O locations, 3. fellows and LIPs authoring notes that were then cosigned by H/O physicians, and 4. nurses authoring notes associated with H/O visits.

Analysis

For each FY, we obtained total numbers of visits, unique patients, and care-providing staff by type. For validation, collaborating providers at several sites reviewed visit information, and a colleague also performed an independent, parallel data extraction. We adjusted FY totals to account for the growing patient population by dividing unique staff count by number of unique patients and multiplying by 200,000 (the approximate number of unique patients in FY19).

Results

From FY19 through FY24, VA Hematology/ Oncology saw a 14.6% rise in unique patients (from 232,084 to 265,926) and a 15.4% rise in visits (from 923,175 to 1,065,186). The absolute number of attendings rose by 4 (0.6%); of LIPs, by 138 (14.4%); and of nurses, by 142 (4.9%); trainees fell by 102 (4.3%). Adjusted to 200,000 patients, the number of attendings fell by 76 (12.3%); LIPs, by 1 (0.1%); trainees, by 335 (16.5%); and nurses, by 211 (8.4%).

Conclusions

Adjusted to number of Veterans, there are 10.4% fewer staff in Hematology/Oncology in FY24 compared to FY19.

Background

Department of Veterans Affairs (VA) faces a landscape of increasingly complex practice, especially in Hematology/Oncology (H/O), and a nationwide shortage of healthcare providers, while serving more Veterans than ever before. To understand current and future staffing needs, the VA National Oncology Program performed an assessment of H/O staffing, including attending physicians, residents/ fellows, licensed independent practitioners (LIPs) (nurse practitioners/physician assistants), and nurses for fiscal years (FY) 19–24.

Methods

Using VA Corporate Data Warehouse, we identified H/O visits in VA from 10/01/2018 through 09/30/2024 using stop codes. No-show (< 0.00001%) and National TeleOncology appointments (1%) were removed. We retrieved all notes associated with resulting visits and used area-ofspecialization and provider-type data to identify all attending physicians, trainees, LIPs, and nurses who authored or cosigned these notes. We identified H/O staff as 1. those associated with H/O clinic locations, 2. physicians who consistently cosigned H/O notes authored by fellows and LIPs associated with H/O locations, 3. fellows and LIPs authoring notes that were then cosigned by H/O physicians, and 4. nurses authoring notes associated with H/O visits.

Analysis

For each FY, we obtained total numbers of visits, unique patients, and care-providing staff by type. For validation, collaborating providers at several sites reviewed visit information, and a colleague also performed an independent, parallel data extraction. We adjusted FY totals to account for the growing patient population by dividing unique staff count by number of unique patients and multiplying by 200,000 (the approximate number of unique patients in FY19).

Results

From FY19 through FY24, VA Hematology/ Oncology saw a 14.6% rise in unique patients (from 232,084 to 265,926) and a 15.4% rise in visits (from 923,175 to 1,065,186). The absolute number of attendings rose by 4 (0.6%); of LIPs, by 138 (14.4%); and of nurses, by 142 (4.9%); trainees fell by 102 (4.3%). Adjusted to 200,000 patients, the number of attendings fell by 76 (12.3%); LIPs, by 1 (0.1%); trainees, by 335 (16.5%); and nurses, by 211 (8.4%).

Conclusions

Adjusted to number of Veterans, there are 10.4% fewer staff in Hematology/Oncology in FY24 compared to FY19.

Background

Prostate cancer is the most common non-cutaneous malignancy diagnosis within the Department of Veterans Affairs (VA). The Prostate Cancer Clinical Pathways (PCCP) were developed to enable providers to treat all Veterans with prostate cancer at subject matter expert level.

Methods

The PCCP was launched in February 2021; however, provider documentation of PCCP is variable across the VA healthcare system and within the PCCP, specific flow maps have differential use. To increase urology specific flow map use, a collaboration between the National Surgery Office and National Oncology Program was established to develop a Urology Prostate Cancer Note (UPCN). The UPCN was designed by urologists with assistance from a medical oncologist and a clinical applications coordinator.

Results

The UPCN functions as a working clinical note for urologists and has the PCCPs embedded into reminder dialog templates, which when completed generate health factors. The health factors that are generated from the UPCN are data mined to record PCCP use and to perform data analytics. Since the UPCN national deployment on 9/6/24, documentation of high risk prostate cancer pathway utilization has increased 75% from 226 unique Veterans prior to launch to 395 unique Veterans after launch.

Conclusions

This collaborative effort did improve pathway utilization and documentation however other tools will need to be developed to improve provider PCCP documentation.

Background

Prostate cancer is the most common non-cutaneous malignancy diagnosis within the Department of Veterans Affairs (VA). The Prostate Cancer Clinical Pathways (PCCP) were developed to enable providers to treat all Veterans with prostate cancer at subject matter expert level.

Methods

The PCCP was launched in February 2021; however, provider documentation of PCCP is variable across the VA healthcare system and within the PCCP, specific flow maps have differential use. To increase urology specific flow map use, a collaboration between the National Surgery Office and National Oncology Program was established to develop a Urology Prostate Cancer Note (UPCN). The UPCN was designed by urologists with assistance from a medical oncologist and a clinical applications coordinator.

Results

The UPCN functions as a working clinical note for urologists and has the PCCPs embedded into reminder dialog templates, which when completed generate health factors. The health factors that are generated from the UPCN are data mined to record PCCP use and to perform data analytics. Since the UPCN national deployment on 9/6/24, documentation of high risk prostate cancer pathway utilization has increased 75% from 226 unique Veterans prior to launch to 395 unique Veterans after launch.

Conclusions

This collaborative effort did improve pathway utilization and documentation however other tools will need to be developed to improve provider PCCP documentation.

Background

Prostate cancer is the most common non-cutaneous malignancy diagnosis within the Department of Veterans Affairs (VA). The Prostate Cancer Clinical Pathways (PCCP) were developed to enable providers to treat all Veterans with prostate cancer at subject matter expert level.

Methods

The PCCP was launched in February 2021; however, provider documentation of PCCP is variable across the VA healthcare system and within the PCCP, specific flow maps have differential use. To increase urology specific flow map use, a collaboration between the National Surgery Office and National Oncology Program was established to develop a Urology Prostate Cancer Note (UPCN). The UPCN was designed by urologists with assistance from a medical oncologist and a clinical applications coordinator.

Results

The UPCN functions as a working clinical note for urologists and has the PCCPs embedded into reminder dialog templates, which when completed generate health factors. The health factors that are generated from the UPCN are data mined to record PCCP use and to perform data analytics. Since the UPCN national deployment on 9/6/24, documentation of high risk prostate cancer pathway utilization has increased 75% from 226 unique Veterans prior to launch to 395 unique Veterans after launch.

Conclusions

This collaborative effort did improve pathway utilization and documentation however other tools will need to be developed to improve provider PCCP documentation.

Background

Accurate clinical coding that reflects all diagnoses and problems addressed during a patient encounter is essential for the cancer program’s data quality, research initiatives, and securing VERA (Veterans Equitable Resource Allocation) funding. However, providers often face barriers such as limited time during patient visits and difficulty navigating Electronic health record (EHR) systems. These challenges lead to inaccurate coding, which undermines downstream data integrity. This quality improvement (QI) study aimed to identify these barriers and implement an intervention to improve coding accuracy, while also assessing the financial implications of improved documentation.

Methods

This QI study was conducted at the Albany Stratton VA Medical Center, focusing on hematology/ oncology outpatient encounters. A baseline chart audit of diagnosis codes from June 2023 revealed an accuracy rate of 69.8%. To address this, an intervention was implemented in which dedicated coders were assigned to support attending physicians in coding for over a two-week period. These coders reviewed and corrected diagnosis codes in real-time. A follow-up audit conducted after the intervention showed an improved coding accuracy of 82%.

Discussion/Implications

Coding remains a timeconsuming task for providers, made more difficult by EHR systems that are not user-friendly. This study demonstrated that involving dedicated coders significantly improves documentation accuracy—from 69% to 82%. In addition to data quality, the financial benefits are notable. A projected annual return on investment of $216,094 was calculated, based on an internal analysis showing that in a sample of 124 patients, 10% could have qualified for higher VERA funding based on accurate coding, generating an estimated $17,427 in additional reimbursement per patient. This cost-benefit ratio supports the recommendation to staff dedicated coders. Other interventions were also utilised, such as updating the national encounter form and auto-populating documentation in Dragon software, but had limited impact and did not directly address diagnosis accuracy respectively.

Conclusions

Targeted interventions improved coding accuracy, but sustainability remains a challenge due to time and system limitations. Future efforts should focus on hiring full-time coders. These steps can further enhance coding quality and potentially increase hospital revenue.

Background

Accurate clinical coding that reflects all diagnoses and problems addressed during a patient encounter is essential for the cancer program’s data quality, research initiatives, and securing VERA (Veterans Equitable Resource Allocation) funding. However, providers often face barriers such as limited time during patient visits and difficulty navigating Electronic health record (EHR) systems. These challenges lead to inaccurate coding, which undermines downstream data integrity. This quality improvement (QI) study aimed to identify these barriers and implement an intervention to improve coding accuracy, while also assessing the financial implications of improved documentation.

Methods

This QI study was conducted at the Albany Stratton VA Medical Center, focusing on hematology/ oncology outpatient encounters. A baseline chart audit of diagnosis codes from June 2023 revealed an accuracy rate of 69.8%. To address this, an intervention was implemented in which dedicated coders were assigned to support attending physicians in coding for over a two-week period. These coders reviewed and corrected diagnosis codes in real-time. A follow-up audit conducted after the intervention showed an improved coding accuracy of 82%.

Discussion/Implications

Coding remains a timeconsuming task for providers, made more difficult by EHR systems that are not user-friendly. This study demonstrated that involving dedicated coders significantly improves documentation accuracy—from 69% to 82%. In addition to data quality, the financial benefits are notable. A projected annual return on investment of $216,094 was calculated, based on an internal analysis showing that in a sample of 124 patients, 10% could have qualified for higher VERA funding based on accurate coding, generating an estimated $17,427 in additional reimbursement per patient. This cost-benefit ratio supports the recommendation to staff dedicated coders. Other interventions were also utilised, such as updating the national encounter form and auto-populating documentation in Dragon software, but had limited impact and did not directly address diagnosis accuracy respectively.

Conclusions

Targeted interventions improved coding accuracy, but sustainability remains a challenge due to time and system limitations. Future efforts should focus on hiring full-time coders. These steps can further enhance coding quality and potentially increase hospital revenue.

Background

Accurate clinical coding that reflects all diagnoses and problems addressed during a patient encounter is essential for the cancer program’s data quality, research initiatives, and securing VERA (Veterans Equitable Resource Allocation) funding. However, providers often face barriers such as limited time during patient visits and difficulty navigating Electronic health record (EHR) systems. These challenges lead to inaccurate coding, which undermines downstream data integrity. This quality improvement (QI) study aimed to identify these barriers and implement an intervention to improve coding accuracy, while also assessing the financial implications of improved documentation.

Methods

This QI study was conducted at the Albany Stratton VA Medical Center, focusing on hematology/ oncology outpatient encounters. A baseline chart audit of diagnosis codes from June 2023 revealed an accuracy rate of 69.8%. To address this, an intervention was implemented in which dedicated coders were assigned to support attending physicians in coding for over a two-week period. These coders reviewed and corrected diagnosis codes in real-time. A follow-up audit conducted after the intervention showed an improved coding accuracy of 82%.

Discussion/Implications

Coding remains a timeconsuming task for providers, made more difficult by EHR systems that are not user-friendly. This study demonstrated that involving dedicated coders significantly improves documentation accuracy—from 69% to 82%. In addition to data quality, the financial benefits are notable. A projected annual return on investment of $216,094 was calculated, based on an internal analysis showing that in a sample of 124 patients, 10% could have qualified for higher VERA funding based on accurate coding, generating an estimated $17,427 in additional reimbursement per patient. This cost-benefit ratio supports the recommendation to staff dedicated coders. Other interventions were also utilised, such as updating the national encounter form and auto-populating documentation in Dragon software, but had limited impact and did not directly address diagnosis accuracy respectively.

Conclusions

Targeted interventions improved coding accuracy, but sustainability remains a challenge due to time and system limitations. Future efforts should focus on hiring full-time coders. These steps can further enhance coding quality and potentially increase hospital revenue.

Purpose

The Veterans Affairs Central Cancer Registry (VACCR) is a data management system for cancer surveillance and epidemiologic-based efforts, seeking to reduce the overall cancer burden. In 2024, the local VACCR successfully implemented a Structured Query Language (SQL) code, created to identify documents in the electronic medical record (EMR) with associated ICD-10 codes matching reportable cancer cases in the Surveillance, Epidemiology, and End Results (SEER) list. In 2025, code application expansion began at four additional VISN9 sites.

Outcomes Studied

Accuracy and usefulness of SQL code application in a significantly larger population and a diagnosis-specific population.

Methods

Local Cancer Program leadership collaborated with VISN9 leadership to expand the SQL code to the four sites’ EMR, identifying the Veteran’s name, social security number, location by city/state/county, and visit-associated data including location, ICD-10 code, and visit year. Data validation focused on ICD- 10-specific data and quality replication.

Results

After SQL code application to Mt Home TN VACCR data, 750 unique, randomized charts from 2015-2025 were selected for accuracy review. Data validation found that 90.5% (679) had a reportable cancer; 14.9% (112) were not entered into VACCR. 9.5% (71) were not reportable. The SQL code was applied to Lexington data to identify colorectal cancer (CRC) (ICD-10 codes C17-C21.9). 746 charts from 2015-2025 were identified. 88.9% (663) had a reportable CRC; 14.9% (111) of those were not entered into VACCR, and 11% (83) were not reportable. Most cases not entered into VACCR at both sites were cases in which the majority of care was provided through Care in the Community (CITC). Historically, identification of CITC-provided oncologic care has been manual and notoriously difficult.

Conclusions

This study demonstrated the feasibility and accuracy of the SQL code in the identification of Veterans with diagnoses matching the SEER list in a large population and at a diagnosis-specific level. VISN-wide use of the report will increase efficiency and timeliness of data entry into VACCR, especially related to care provided through CITC. An improved understanding of oncologic care in the VISN would provide critical data to VISN executive leadership, enabling them to advocate for resources, targeted interventions, and access to care.

Purpose

The Veterans Affairs Central Cancer Registry (VACCR) is a data management system for cancer surveillance and epidemiologic-based efforts, seeking to reduce the overall cancer burden. In 2024, the local VACCR successfully implemented a Structured Query Language (SQL) code, created to identify documents in the electronic medical record (EMR) with associated ICD-10 codes matching reportable cancer cases in the Surveillance, Epidemiology, and End Results (SEER) list. In 2025, code application expansion began at four additional VISN9 sites.

Outcomes Studied

Accuracy and usefulness of SQL code application in a significantly larger population and a diagnosis-specific population.

Methods

Local Cancer Program leadership collaborated with VISN9 leadership to expand the SQL code to the four sites’ EMR, identifying the Veteran’s name, social security number, location by city/state/county, and visit-associated data including location, ICD-10 code, and visit year. Data validation focused on ICD- 10-specific data and quality replication.

Results

After SQL code application to Mt Home TN VACCR data, 750 unique, randomized charts from 2015-2025 were selected for accuracy review. Data validation found that 90.5% (679) had a reportable cancer; 14.9% (112) were not entered into VACCR. 9.5% (71) were not reportable. The SQL code was applied to Lexington data to identify colorectal cancer (CRC) (ICD-10 codes C17-C21.9). 746 charts from 2015-2025 were identified. 88.9% (663) had a reportable CRC; 14.9% (111) of those were not entered into VACCR, and 11% (83) were not reportable. Most cases not entered into VACCR at both sites were cases in which the majority of care was provided through Care in the Community (CITC). Historically, identification of CITC-provided oncologic care has been manual and notoriously difficult.

Conclusions

This study demonstrated the feasibility and accuracy of the SQL code in the identification of Veterans with diagnoses matching the SEER list in a large population and at a diagnosis-specific level. VISN-wide use of the report will increase efficiency and timeliness of data entry into VACCR, especially related to care provided through CITC. An improved understanding of oncologic care in the VISN would provide critical data to VISN executive leadership, enabling them to advocate for resources, targeted interventions, and access to care.

Purpose

The Veterans Affairs Central Cancer Registry (VACCR) is a data management system for cancer surveillance and epidemiologic-based efforts, seeking to reduce the overall cancer burden. In 2024, the local VACCR successfully implemented a Structured Query Language (SQL) code, created to identify documents in the electronic medical record (EMR) with associated ICD-10 codes matching reportable cancer cases in the Surveillance, Epidemiology, and End Results (SEER) list. In 2025, code application expansion began at four additional VISN9 sites.

Outcomes Studied

Accuracy and usefulness of SQL code application in a significantly larger population and a diagnosis-specific population.

Methods

Local Cancer Program leadership collaborated with VISN9 leadership to expand the SQL code to the four sites’ EMR, identifying the Veteran’s name, social security number, location by city/state/county, and visit-associated data including location, ICD-10 code, and visit year. Data validation focused on ICD- 10-specific data and quality replication.

Results

After SQL code application to Mt Home TN VACCR data, 750 unique, randomized charts from 2015-2025 were selected for accuracy review. Data validation found that 90.5% (679) had a reportable cancer; 14.9% (112) were not entered into VACCR. 9.5% (71) were not reportable. The SQL code was applied to Lexington data to identify colorectal cancer (CRC) (ICD-10 codes C17-C21.9). 746 charts from 2015-2025 were identified. 88.9% (663) had a reportable CRC; 14.9% (111) of those were not entered into VACCR, and 11% (83) were not reportable. Most cases not entered into VACCR at both sites were cases in which the majority of care was provided through Care in the Community (CITC). Historically, identification of CITC-provided oncologic care has been manual and notoriously difficult.

Conclusions

This study demonstrated the feasibility and accuracy of the SQL code in the identification of Veterans with diagnoses matching the SEER list in a large population and at a diagnosis-specific level. VISN-wide use of the report will increase efficiency and timeliness of data entry into VACCR, especially related to care provided through CITC. An improved understanding of oncologic care in the VISN would provide critical data to VISN executive leadership, enabling them to advocate for resources, targeted interventions, and access to care.

Purpose

The aim of this study is to quantify the frequency of Memorial Sloan Kettering (MSK) Precision Oncology Knowledge Base (OncoKB) Level 1 genetic alterations in Veterans with various solid organ malignancies and evaluate the clinical benefit and impact of testing on treatment of these patients.

Background

The VA National Precision Oncology Program (NPOP) facilitates comprehensive genomic profiling (CGP) testing of Veterans with advanced cancer. While CGP is increasingly utilized and routinely ordered in patients with advanced solid organ malignancies, the clinical utility and value has not been proven in certain cancers. We present data from 5,979 patients with head and neck (H&N), pancreatic, hepatocellular (HCC), esophageal and kidney cancers who underwent CGP.

Methods

Our cohort consists of Veterans that received CGP testing to identify somatic variants between 1/1/2019 and 4/2/2025. Identified variants and biomarkers were formatted for use with oncoKB-annotator, a publicly available tool to annotate genomic variants with FDA approved drug recommendations stored as Level 1 annotations in OncoKB, and prescribed drugs were extracted from the Veteran Health Administration’s (VHA) Corporate Data Warehouse (CDW). Cancers were grouped by MSK’s OncoTree codes, and summary counts of Veterans tested, Veterans recommended, Veterans prescribed recommended FDA approved drugs were determined. Percentages were calculated using the total number of Veterans tested as the denominator.

Results

Level 1 OncoKB alterations were infrequent in H&N (0.94%), kidney (0.45%), HCC(0.28%), and pancreatic adenocarcinomas (1%). The frequency of Level 1 alterations in esophageal adenocarcinomas (EAC) was 20%. Approximately 98% of the Level 1 alterations in EAC patients were HER2 positivity or MSI-High status, which can be determined by other diagnostic methodologies such as IHC. The remaining 2% of EAC patients with level 1 alterations had BRAF V600E or NTRK rearrangements.

Conclusions

The incidence of level 1 genetic variants in H&N, kidney, HCC and pancreatic adenocarcinoma is very low and would very uncommonly result in clinical benefit. Although there is an expanding number of precision oncology-based therapies available, the proportion of patients with the aforementioned solid organ malignancies who benefitted from CGP was low, suggesting CGP has minimal impact on the treatment of Veterans with these malignancies.

Purpose

The aim of this study is to quantify the frequency of Memorial Sloan Kettering (MSK) Precision Oncology Knowledge Base (OncoKB) Level 1 genetic alterations in Veterans with various solid organ malignancies and evaluate the clinical benefit and impact of testing on treatment of these patients.

Background

The VA National Precision Oncology Program (NPOP) facilitates comprehensive genomic profiling (CGP) testing of Veterans with advanced cancer. While CGP is increasingly utilized and routinely ordered in patients with advanced solid organ malignancies, the clinical utility and value has not been proven in certain cancers. We present data from 5,979 patients with head and neck (H&N), pancreatic, hepatocellular (HCC), esophageal and kidney cancers who underwent CGP.

Methods

Our cohort consists of Veterans that received CGP testing to identify somatic variants between 1/1/2019 and 4/2/2025. Identified variants and biomarkers were formatted for use with oncoKB-annotator, a publicly available tool to annotate genomic variants with FDA approved drug recommendations stored as Level 1 annotations in OncoKB, and prescribed drugs were extracted from the Veteran Health Administration’s (VHA) Corporate Data Warehouse (CDW). Cancers were grouped by MSK’s OncoTree codes, and summary counts of Veterans tested, Veterans recommended, Veterans prescribed recommended FDA approved drugs were determined. Percentages were calculated using the total number of Veterans tested as the denominator.

Results

Level 1 OncoKB alterations were infrequent in H&N (0.94%), kidney (0.45%), HCC(0.28%), and pancreatic adenocarcinomas (1%). The frequency of Level 1 alterations in esophageal adenocarcinomas (EAC) was 20%. Approximately 98% of the Level 1 alterations in EAC patients were HER2 positivity or MSI-High status, which can be determined by other diagnostic methodologies such as IHC. The remaining 2% of EAC patients with level 1 alterations had BRAF V600E or NTRK rearrangements.

Conclusions

The incidence of level 1 genetic variants in H&N, kidney, HCC and pancreatic adenocarcinoma is very low and would very uncommonly result in clinical benefit. Although there is an expanding number of precision oncology-based therapies available, the proportion of patients with the aforementioned solid organ malignancies who benefitted from CGP was low, suggesting CGP has minimal impact on the treatment of Veterans with these malignancies.

Purpose

The aim of this study is to quantify the frequency of Memorial Sloan Kettering (MSK) Precision Oncology Knowledge Base (OncoKB) Level 1 genetic alterations in Veterans with various solid organ malignancies and evaluate the clinical benefit and impact of testing on treatment of these patients.

Background

The VA National Precision Oncology Program (NPOP) facilitates comprehensive genomic profiling (CGP) testing of Veterans with advanced cancer. While CGP is increasingly utilized and routinely ordered in patients with advanced solid organ malignancies, the clinical utility and value has not been proven in certain cancers. We present data from 5,979 patients with head and neck (H&N), pancreatic, hepatocellular (HCC), esophageal and kidney cancers who underwent CGP.

Methods

Our cohort consists of Veterans that received CGP testing to identify somatic variants between 1/1/2019 and 4/2/2025. Identified variants and biomarkers were formatted for use with oncoKB-annotator, a publicly available tool to annotate genomic variants with FDA approved drug recommendations stored as Level 1 annotations in OncoKB, and prescribed drugs were extracted from the Veteran Health Administration’s (VHA) Corporate Data Warehouse (CDW). Cancers were grouped by MSK’s OncoTree codes, and summary counts of Veterans tested, Veterans recommended, Veterans prescribed recommended FDA approved drugs were determined. Percentages were calculated using the total number of Veterans tested as the denominator.

Results

Level 1 OncoKB alterations were infrequent in H&N (0.94%), kidney (0.45%), HCC(0.28%), and pancreatic adenocarcinomas (1%). The frequency of Level 1 alterations in esophageal adenocarcinomas (EAC) was 20%. Approximately 98% of the Level 1 alterations in EAC patients were HER2 positivity or MSI-High status, which can be determined by other diagnostic methodologies such as IHC. The remaining 2% of EAC patients with level 1 alterations had BRAF V600E or NTRK rearrangements.

Conclusions

The incidence of level 1 genetic variants in H&N, kidney, HCC and pancreatic adenocarcinoma is very low and would very uncommonly result in clinical benefit. Although there is an expanding number of precision oncology-based therapies available, the proportion of patients with the aforementioned solid organ malignancies who benefitted from CGP was low, suggesting CGP has minimal impact on the treatment of Veterans with these malignancies.