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Balancing Clinician Workload Through Strategic Patient Panel Designs.

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Optimizing clinician panel size in primary care significantly reduces appointment workload variability by 88%. This approach enhances clinician well-being and improves patient access to care.

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Area of Science:

  • Healthcare Management
  • Clinical Operations
  • Health Systems Science

Background:

  • Clinician workload, burnout, and staffing shortages are critical issues in primary care.
  • Patient panel size directly influences appointment volume and clinician workload.
  • Optimizing panel size is essential for improving patient care and operational efficiency.

Purpose of the Study:

  • To model the optimal clinician panel size in a primary care setting.
  • To determine panel sizes that maximize clinician capacity and balance appointment types.
  • To reduce variability in appointment volumes across different clinician groups.

Main Methods:

  • Utilized one year of appointment and panel data from a Department of Family Medicine.
  • Included data from 82,881 patients and 105 clinicians.
  • Employed an optimization-based modeling approach considering panel management time (PMT).

Main Results:

  • The optimization approach reduced appointment volume variability by 88% for physician groups.
  • Resulting optimal panel sizes ranged from 211 to 232 appointments per clinician.
  • Similar workload balance improvements were observed for advanced practice clinicians and residents.

Conclusions:

  • Strategic use of optimization-based approaches significantly improves workload distribution.
  • Appropriate panel sizing positively impacts clinician well-being and patient access to care.
  • This method enhances clinic productivity and the overall quality of care delivered.