TY - GEN
T1 - A case study for patient workload analysis of an outpatient clinic
AU - Sadighi, Mozhdeh
AU - Componation, Paul
AU - Ferreira, Susan
AU - Reed, Gary
AU - Halm, Ethan
AU - Griffith, Patrice
N1 - Publisher Copyright:
© American Society for Engineering Management, 2019.
PY - 2019
Y1 - 2019
N2 - A healthcare clinic, like other service-based businesses, requires effective personnel resource planning to achieve its objectives. In addition to other aims, the plan serves two purposes. First, it communicates what the roles and responsibilities are for the team members, and second, it can serve to evaluate areas for possible improvement. This paper reports on a study that analyzes a tactical personnel resource schedule plan, which is called 'game plan' by clinic team, for a general internal medicine outpatient clinic. The game plan is distributed every morning to the clinic's healthcare providers and staff to provide them with a better understanding of the schedule, workload, responsibilities, contact information, and absentees and coverage for the day. This study was undertaken to develop to identify areas for possible improvements. Three months of daily game plans were analyzed. The analysis included planned patient throughput per physician, for each of the clinic's four 'Pods', and differences in physician workload for each day of the week. Significant differences were noted in the throughput for the individual physicians, between the four Pods, and during different days of the week. Some of the Pods and physicians had significant variances in throughput. In-depth analysis indicated that how the scheduling is performed and individual physician approach to patient care are the main causes for existing variances. The paper concludes by noting areas for future work.
AB - A healthcare clinic, like other service-based businesses, requires effective personnel resource planning to achieve its objectives. In addition to other aims, the plan serves two purposes. First, it communicates what the roles and responsibilities are for the team members, and second, it can serve to evaluate areas for possible improvement. This paper reports on a study that analyzes a tactical personnel resource schedule plan, which is called 'game plan' by clinic team, for a general internal medicine outpatient clinic. The game plan is distributed every morning to the clinic's healthcare providers and staff to provide them with a better understanding of the schedule, workload, responsibilities, contact information, and absentees and coverage for the day. This study was undertaken to develop to identify areas for possible improvements. Three months of daily game plans were analyzed. The analysis included planned patient throughput per physician, for each of the clinic's four 'Pods', and differences in physician workload for each day of the week. Significant differences were noted in the throughput for the individual physicians, between the four Pods, and during different days of the week. Some of the Pods and physicians had significant variances in throughput. In-depth analysis indicated that how the scheduling is performed and individual physician approach to patient care are the main causes for existing variances. The paper concludes by noting areas for future work.
KW - Appointment scheduling
KW - Efficiency
KW - Level-loading
KW - Patient satisfaction
KW - Resource scheduling
KW - Waiting time
KW - Workload
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M3 - Conference contribution
AN - SCOPUS:85086287274
T3 - 2019 International Annual Conference Proceedings of the American Society for Engineering Management and 40th Meeting Celebration: A Systems Approach to Engineering Management Solutions, ASEM 2019
BT - 2019 International Annual Conference Proceedings of the American Society for Engineering Management and 40th Meeting Celebration
A2 - Schott, E.
A2 - Keathley, H.
A2 - Krejci, C.
PB - American Society for Engineering Management
T2 - 2019 International Annual Conference of the American Society for Engineering Management and 40th Meeting Celebration: A Systems Approach to Engineering Management Solutions, ASEM 2019
Y2 - 23 October 2019 through 26 October 2019
ER -