Coordinating an Oncology Precision Medicine Clinic Within an Integrated Health System: Lessons Learned in Year One

Precision medicine is a term describing strategies to promote health and prevent and treat disease based on an individual’s genetic, molecular, and lifestyle characteristics. Oncology precision medicine (OPM) is a cancer treatment approach targeting cancer-specific genetic and molecular alterations. Implementation of an OPM clinical program optimally involves the support and collaboration of multiple departments, including administration, medical oncology, pathology, interventional radiology, genetics, research, and informatics. In this review, we briefly introduce the published evidence regarding OPM’s potential effect on patient outcomes and discuss what we have learned over the first year of operating an OPM program within an integrated health care system (Aurora Health Care, Milwaukee, WI) comprised of multiple hospitals and clinics. We also report our experience implementing a specific OPM software platform used to embed molecular panel data into patients’ electronic medical records

Quantifying the value of the molecular tumor board: Discordance recommendation rate and drug cost avoidance

Purpose: Molecular tumor boards (MTBs) provide interventions that assist the patient\u27s primary oncologist\u27s interpretation and application of precision oncology and avoid clinical and financial toxicities of prescribing inappropriate targeted therapy. In this article, we describe a novel method for illustrating MTBs value and recommendation discordance rate and report associated drug cost avoidance data. Methods: From January 1, 2021, to December 31, 2021, patients assessed by our program\u27s MTB were retrospectively evaluated. Recommendation discordance was defined as any disagreement between MTB therapeutic recommendations and those provided in the next-generation sequencing vendor\u27s report. Results: In 2021, our program processed 1,119 next-generation sequencing orders via external vendors for 1,029 unique patients with a variety of solid tumor and hematologic malignancies. During this period, 962 patients were reviewed through our MTB process. MTB recommendation discordance rate was high (229 of 502; 45.6%) and varied across test vendors. Rationales for discordance included the following: low level of evidence (88% of patients), alternative standard of care available (60%), and tolerability concerns (42%), among others. Discordance was highest for Vendor C (30%), followed by Vendor A (24%) and Vendor B (8%). The most common drug classes not supported were mTOR, PARP, MEK, and PIK3CA inhibitors when recommended by vendors in off-label settings. MTB interventions accounted for $3,209,070 in US dollars in potential drug cost avoidance. Conclusion: Therapeutic recommendation discordance rates can provide quantitative insight into the benefit of MTB. Discordance-associated drug cost avoidance further demonstrates MTB\u27s financial value. These measures may be used as part of the justification for this service line within a cancer care program

Coordinating an Oncology Precision Medicine Clinic Within an Integrated Health System: Lessons Learned in Year One

Precision medicine is a term describing strategies to promote health and prevent and treat disease based on an individual’s genetic, molecular, and lifestyle characteristics. Oncology precision medicine (OPM) is a cancer treatment approach targeting cancer-specific genetic and molecular alterations. Implementation of an OPM clinical program optimally involves the support and collaboration of multiple departments, including administration, medical oncology, pathology, interventional radiology, genetics, research, and informatics. In this review, we briefly introduce the published evidence regarding OPM’s potential effect on patient outcomes and discuss what we have learned over the first year of operating an OPM program within an integrated health care system (Aurora Health Care, Milwaukee, WI) comprised of multiple hospitals and clinics. We also report our experience implementing a specific OPM software platform used to embed molecular panel data into patients’ electronic medical records