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Area of Science:

  • Healthcare Operations Research
  • Simulation Modeling
  • Process Optimization

Background:

  • Manual healthcare registration processes are inefficient, causing patient service delays and suboptimal resource allocation.
  • Optimizing hybrid centralized registration models and integrating technology are crucial for enhancing healthcare efficiency.

Purpose of the Study:

  • To assess the viability of a design-led simulation-optimization process (DLSO) for supporting innovation in outpatient clinic registration.
  • To identify key factors influencing resource requirements within a hybrid registration system.

Main Methods:

  • An iterative simulation-optimization methodology was employed to test a proof-of-concept hybrid registration system.
  • Configurations with four and five registration options were evaluated under 30% and 50% preregistration rates, using self-service kiosks as a baseline.

Main Results:

  • A centralized registration system with a 30% preregistration rate accommodated 2,000 daily patient throughput.
  • Increased preregistration rates (30%-50%) led to substantial reductions in seating demand (23%-32%) and maximum floor census (20%-26%).

Conclusions:

  • Design-led simulation-optimization (DLSO) is effective for validating novel healthcare concepts and managing innovation complexities.
  • DLSO experimentation aids in securing stakeholder buy-in for new operational models in healthcare settings.