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Purpose: Clinical efficiency is a key component of the value-based care model and a driver of patient satisfaction. The purpose of this study was to identify and address inefficiencies at a high-volume radiation oncology clinic., Methods and Materials: Patient flow analysis (PFA) was used to create process maps and optimize the workflow of consultation visits in a gastrointestinal radiation oncology clinic at a large academic cancer center. Metrics such as cycle times, waiting times, and rooming times were assessed by using a real-time patient status function in the electronic medical record for 556 consults and compared between before vs after implementation of the PFA recommendations., Results: The initial PFA revealed four inefficiencies: (1) protracted rooming time, (2) inefficient communications, (3) duplicated tasks, and (4) ambiguous clinical roles. We analyzed 485 consult-visits before the PFA and 71 after the PFA. The PFA recommendations led to reductions in overall median cycle time by 21% (91 min vs 72 min, p < 0.001), in cumulative waiting times by 64% (45 min vs 16 min; p < 0.001), which included waiting room time (14 min vs 5 min; p < 0.001) and wait for physician (20 min vs. 6 min; p < 0.001). Slightly less than one-quarter (22%) of consult visits before the PFA lasted > 2 h vs. 0% after implementation of the recommendations (p < 0.001). Similarly, the proportion of visits requiring < 1 h was 16% before PFA vs 34% afterward (p < 0.001)., Conclusions: PFA can be used to identify clinical inefficiencies and optimize workflows in radiation oncology consultation clinics, and implementing their findings can significantly improve cycle times and waiting times. Potential downstream effects of these interventions include improved patient experience, decreased staff burnout, financial savings, and opportunities for expanding clinical capacity., (© 2022. The Author(s).)

Purpose: As health care costs rise, continuous quality improvement and increased efficiency are crucial to reduce costs while providing high-quality care. Time-driven activity-based costing (TDABC) can help identify inefficiencies in processes of cancer care delivery. This study measured the process performance of Port-a-Cath placement in an outpatient cancer surgery center by using TDABC to evaluate patient care process., Methods: Data were collected from the Anesthesia Information Management System database and OneConnect electronic health record (EHR) for Port-a-Cath cases performed throughout four phases: preintervention (phase I), postintervention, stabilization, and pre-new EHR (phases II and III), and post-new EHR (phase IV). TDABC methods were used to map and calculate process times and costs., Results: Comparing all phases, as measured with TDABC methodology, a decrease in post-anesthesia care unit (PACU) length of stay (LOS) was identified (83 minutes v 67 minutes; P < .05). The decrease in PACU LOS correlated with increased efficiency and decreasing process costs and PACU nurse resource use by fast tracking patients for Port-a-Cath placement. Port-a-Cath placement success and the functionality of ports remained the same as patient experience improved., Conclusion: TDABC can be used to evaluate processes of care delivery to patients with cancer and to quantify changes made to those processes. Patients' PACU LOS decreased on the basis of the 2013 Port-a-Cath process improvement initiative and after implementation of a new EHR, over the course of 3 years, as quantified by TDABC. TDABC use can lead to improved efficiencies in patient care delivery that are quantifiable and measurable.