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Paper Number
1733
Paper Type
Complete
Description
As demand for healthcare services continues to increase, hospitals are under constant economic pressure to better manage patient appointments. It is common practice in clinical routine to schedule appointments based on average service times, resulting in overtime and waiting times for clinicians and patients. To address this problem, we propose a data-driven decision support system for scheduling patient appointments that accounts for variable service times. We take advantage of the growing amount of patient- and treatment-specific data collected in hospitals. Using a simulation study, we evaluate the decision support system on the practical example of a Gastroenterology facility. Our results demonstrate improved appointment scheduling efficiency compared to the approach currently in use.
Recommended Citation
Rottmann, Janine and Stein, Nikolai, "Leveraging Electronic Health Records to improve Patient Appointment Scheduling: A design-oriented Approach" (2022). ICIS 2022 Proceedings. 10.
https://aisel.aisnet.org/icis2022/is_health/is_health/10
Leveraging Electronic Health Records to improve Patient Appointment Scheduling: A design-oriented Approach
As demand for healthcare services continues to increase, hospitals are under constant economic pressure to better manage patient appointments. It is common practice in clinical routine to schedule appointments based on average service times, resulting in overtime and waiting times for clinicians and patients. To address this problem, we propose a data-driven decision support system for scheduling patient appointments that accounts for variable service times. We take advantage of the growing amount of patient- and treatment-specific data collected in hospitals. Using a simulation study, we evaluate the decision support system on the practical example of a Gastroenterology facility. Our results demonstrate improved appointment scheduling efficiency compared to the approach currently in use.
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16-HealthCare