PGY2 Oncology Resident Aurora St. Luke's Medical Center Muskego, Wisconsin, United States
Poster Abstract:
Background: The chemotherapy hospital admission process for oncology patients entails many complex steps with the goal of administering antineoplastics in a safe and efficient manner. Aurora St. Luke’s Medical Center (ASLMC) is a site within the AH Midwest Market, a large multihospital and clinic organization. This site continues to grow in its oncology patient census and clinical services, requiring further optimization of the chemotherapy admission workflow.
As a result of a 2022-2023 resident year-long project, an electronic health record (EHR) report was created that provides information on the timing of various chemotherapy admission data points. Among the many measures, the report calculates key turnaround times, including, but not limited to admission to orders signed, lab result to orders signed, and orders released to first drug administration. This report provides the opportunity to analyze chemotherapy administration data and improve patient/caregiver satisfaction by potentially decreasing length of stay through process improvement strategies.
Objective: This project will evaluate scheduled chemotherapy admissions to the Hematology Service Line through utilization of an EHR report and involvement of an interdisciplinary team to identify areas that can be optimized with quality improvement tools.
Methods: Retrospective data was collected from January 1, 2023 to July 31, 2023 to determine baseline characteristics of the patient population. A workgroup including advanced practitioners, inpatient nurses, outpatient nurses, pharmacists, informatics, and provider was established. A problem statement and aim statement were determined. The workgroup met several times to create current workflow process diagrams, cause and effect diagrams, and discuss pareto charts of baseline data. In addition, a priority matrix was completed and potential interventions were discussed. Subjective data was collected through anonymous multi-voting platforms. Based on discussions, an initial intervention was communicated and implemented. Post implementation data will be collected and compared. Implementation of additional interventions will be explored.
Results: Results are pending
Discussion/
Conclusion: N/A
References (must also be included in final poster): Aboumater HJ, Winner LE, Davis RO, et al. No time to waste: decreasing patient wait times for chemotherapy administration using automated prioritization in an oncology pharmacy system. Am J Manag Care. 2008;14(5):309-316.
Gupta A, Li J, Tawfik B, Pham T, Pathak S, Singh P, Porsa E, Sadeghi N, Li HC. Reducing Wait Time Between Admission and Chemotherapy Initiation. J Oncol Pract. 2018 May;14(5):e316-e323. doi: 10.1200/JOP.17.00028. Epub 2018 Apr 12. PMID: 29648922
