A Dataset of Service Time and Related Patient Characteristics from an Outpatient Clinic

Outpatient clinics’ productivity largely depends on their appointment scheduling systems. It is crucial for to understand the intrinsic heterogeneity in patient and service types act accordingly. This article describes an outpatient clinic dataset of consultation time with heterogeneous characteristics. The contains 6637 records collected from 381 half-day sessions between 2018 2019. Each record includes encrypted session IDs, start (approximated) end times, month day week, whether it was a holiday, patient’s visit count specific medical condition, gender, cancer-related, distance mailing address clinic. These features can be used classify patients into groups studies scheduling. Therefore, this rich, characteristics provides valuable opportunity healthcare operations management researchers develop, test, benchmark performance models methods. also studying other industries. More generally, pedagogical value areas related science research, applied statistics, machine learning.