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Improving Clinic Operational Efficiency and Utilization with RTLS.

Bjorn Berg1, Grant Longley2, Jordan Dunitz2

  • 1University of Minnesota Twin Cities, Minneapolis, MN, USA. bberg@umn.edu.

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Summary
This summary is machine-generated.

Real-time locating systems (RTLS) optimize healthcare operations by analyzing patient flow and provider schedules. This data-driven approach balances clinical space utilization with patient congestion for improved efficiency.

Keywords:
Operations researchOutpatient clinicProvider schedulingRTLS

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Area of Science:

  • Healthcare Operations Research
  • Health Informatics
  • Clinical Engineering

Background:

  • Novel operational data sources are transforming healthcare delivery system design.
  • Real-time locating systems (RTLS) offer unique insights into healthcare setting dynamics and responses to design changes.

Purpose of the Study:

  • To leverage RTLS data from an outpatient clinic to determine optimal provider scheduling.
  • To enhance clinical space utilization while mitigating clinic congestion.
  • To support scheduling decisions in flexible clinic designs using historical data and observation logs.

Main Methods:

  • Utilized RTLS data from an outpatient clinical setting.
  • Paired historical clinical space utilization rates with scheduled provider and patient volumes.
  • Augmented historical data with clinic staff observation logs to define target utilization and congestion levels.
  • Presented two approaches: one focusing on space utilization as a key performance metric, and a probabilistic approach for risk-averse decision-making regarding provider time.

Main Results:

  • Demonstrated methods for identifying appropriate provider numbers to improve clinical space utilization.
  • Showcased balancing space utilization with the negative impacts of clinic congestion.
  • Provided results for both a utilization-focused metric and a probabilistic approach for staffing decisions.

Conclusions:

  • RTLS data analysis provides a robust framework for optimizing outpatient clinic operations.
  • Data-driven scheduling informed by utilization and congestion metrics can lead to more efficient healthcare delivery.
  • Flexible clinic designs benefit from operational insights derived from real-time data and observational logs.