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Evaluating Barriers and Tools to Optimize Resident Call Scheduling on Neurology In-Patient Services (P8-7.006)

2023; Lippincott Williams & Wilkins; Volume: 100; Issue: 17_supplement_2 Linguagem: Inglês

10.1212/wnl.0000000000202493

1526-632X

James S. Im, Charles D. Kassardjian, Houman Khosravani, Sara Mitchell,

Telemedicine and Telehealth Implementation

Objective: A quality improvement project to identify the challenges in call scheduling and validating a custom digital tool to optimize call schedule generation. Background: Overnight call coverage in academic centers is a fundamental component of healthcare and education. Schedules are often made manually and need to take into account many complex factors. This potentially detracts from education, patient care and resident well-being. Design/Methods: This quality improvement study aims to reduce the time to produce an accurate call schedule by 40% in 12 months at an adult neurology residency program. Secondary measures include reduction of revisions by 50% and subjective difficulty by 30% on a 10 point Likert Scale. Alongside a senior software engineer, the author has developed a custom program ("CRONUS") that utilizes constraint algorithms to instantaneously apply desired features. Plan-Do-Study-Act (PDSA) cycles will apply additional features as directed by feedback every four weeks to determine the factors that optimize call schedule production. Results: Initial surveys described difficulties with visualization and desire for automation to provide a preliminary schedule. Across five hospitals, a mean of 4.6 hours was required to complete a schedule with 3.1 revisions and a difficulty rating of 5.9 (out of 10). Thus far, preliminary data using "CRONUS" has shown a 25% reduction in total number of hours required, 33% reduction in average revisions required and 27% reduction in subjective difficulty. Additional data are being collected and will be presented at the time of the conference. Conclusions: There is a significant reduction in overall time required, number of revisions and perceived difficulty when using the program. Additional PDSA cycles will be required to confirm its efficacy, identify additional factors and implement new features to optimize them. Future directions include use in other residency programs as well as application to clinical informatics to optimize outpatient clinic scheduling. Disclosure: Dr. Im has nothing to disclose. Dr. Kassardjian has received personal compensation in the range of $500-$4,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Sanofi Genzyme. Dr. Kassardjian has received personal compensation in the range of $500-$4,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Alexion. Dr. Kassardjian has received personal compensation in the range of $500-$4,999 for serving on a Speakers Bureau for Alexion. Dr. Khosravani has nothing to disclose. Dr. Mitchell has nothing to disclose.