308 Background: Reducing variation in care can improve outcomes and decrease costs. Evidence based medicine drives cancer guidelines and adherence promotes quality cancer care. Value based programs are based on adherence to pathways. Most institutions adopt costly cloud based clinical pathways products but none are mature products that fully integrate with the EHR and they require additional data entry. We present our simple Clinical Decision Support (CDS) tool for identifying best practice treatment protocols driven by the cancer diagnosis in the EMR for our large, multi-site, mixed academic and community cancer system. Methods: Our chemotherapy council must approve all protocols that are published in the system’s Epic Beacon library using a rigorous scoring system based on level of evidence and FDA or NCCN approval. Then each protocol is “tagged” appropriately: “Tier 1A”: Preferred Regimens/NCCN Approved; “Tier 1B”: Preferred Regimens/Chemo Council Approved (but not NCCN Approved); Tier 2: Specific Disease Management Team approved regimens; and finally “Other” or research protocols. When the oncologist enters the treatment plan in EPIC, a list of protocols are suggested, ordered by level of evidence, based on the cancer diagnosis and with the easily visible level of evidence or “tag” to allow data driven decision making. Results: We implemented our CDS tool December 12, 2019. As of mid-June, 2020 a total of 1637 treatment plans have been implemented. Of those, 1323 (81%) are Tier 1A, 310 (2%) are Tier 1B and 4 (.2%) are Tier 2. Thus demonstrating 81% adherence to NCCN approved regimens across the system, regardless of the line of treatment. GI and breast cancers were responsible for the most plans with the highest adherence to Tier 1A plans, specifically 92% among the breast cancer group. Multiple Myeloma and Sarcoma were tied for the lowest adherence rate of 58%. This data can be further stratified by medical oncologist. Interestingly, Multiple Myeloma had the highest utilization of Tier 1B protocols perhaps reflecting the rapidly changing literature that is ahead of the guidelines. Conclusions: We demonstrated adherence to NCCN protocols 81% of the time over a 6 month period and over multiple cancer types. Protocol tagging and reporting utilizing the EMR alone could be used as a powerful model for value based care. We identified disease areas that will require further education regarding evidence based treatment and can consider interventions including real time feedback to clinicians and/or best practice advisories or quality based incentives.
249 Background: The Mount Sinai Health System was in the epicenter of the COVID-19 pandemic in NYC. We implemented dynamic testing, isolation and treatment policies in order to continue delivering necessary cancer treatments and ensure the safety of our patients and our staff. Here, we describe the rapid rollout of IT optimizations to enhance the delivery of quality cancer care during the COVID-19 pandemic. Methods: We developed a cancer center incident command structure that involved integration of a health informaticist, IT analyst, and data analyst along with cancer center leadership to help create and optimize electronic health record (EHR)-based tools to support the clinical mission. Results: We developed and implemented EHR-based COVID-19 screening protocols, clinical decision support, reporting and analytics tools, and telehealth technology related to COVID-19 (Table). Conclusions: Dynamic EHR optimizations were essential to continue our cancer care delivery services during the pandemic. [Table: see text]
20 Background: The cost of cancer care is an enormous healthcare burden. Most inpatient chemotherapy is not reimbursed because of diagnosis-related group codes. We have previously reported inpatient chemotherapy and immunotherapy (IC) is associated with poorer outcomes for patients with advanced stage solid tumor (ST) vs hematologic malignancy (HM) patients. 1 We piloted the use of a novel objective scoring rubric to guide and automate IC stewardship at an academic cancer center to decrease the inappropriate use of inpatient administration of costly therapies in patients especially at the end of life. Methods: Using an iterative process, an interdisciplinary group of physicians, nurses and pharmacists developed objective criteria of patient, cancer and treatment factors to guide chemotherapy stewardship. IC that is on formulary and being given as standard of care (i.e., induction of leukemia) are automatically approved. IC that is non-formulary requires evaluation using the developed criteria. Treatment factors include information on the level of existing evidence to support use: type and phase of trial, FDA and NCCN approvals. Patient factors include: performance status, line and goal of therapy. The scoring rubric positively weights regimens with strong levels of evidence or positive patient factors and negatively weights regimens with poor levels of evidence and adverse patient factors. Clinicians must complete the criteria via a form in RedCap. Upon completion, a score is automatically calculated by the tool and 2 disease specific physicians and a clinical pharmacist review for accuracy. If the threshold score is met, IC is approved for inpatient administration and if it is not met, IC is not approved for administration. Results: From January 2022 until May 2022 there have been 30 cases reviewed. 50% were ST requests and 50% were for HM requests. 20 cases (67%) were approved and 8 cases (26%) were not. Two cases were retracted by the requestor. This resulted in cost savings of $63,920. Table illustrates clinical outcomes and characteristics of the approved cases. Conclusions: This pilot illustrates that 67% of the time our cancer physicians chose the administration of inpatient chemotherapy that aligned with objective criteria which is reassuring and serves to validate the use of this tool. Alternatively, this objective rubric prevented inappropriate administration of chemotherapy 26% of the time. Our pilot indicates that there is a role for an objective tool for automated inpatient chemotherapy stewardship. Reference: Evaluation of inpatient chemotherapy among patients with cancer. Petrone G et al. JCO.2022.40.16_suppl.6566.[Table: see text]
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