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Case report: evaluation of an open-source synthetic data platform for simulation studies.

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Synthea, a health record generator, can be adapted for cost-effectiveness simulation studies. This research demonstrates its utility with modifications, drawing parameters from existing research for health economics and outcomes research.

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Area of Science:

  • Health Informatics
  • Computational Epidemiology
  • Health Economics

Background:

  • Simulation is crucial for comparative- and cost-effectiveness research when empirical data is scarce.
  • The Synthea platform generates realistic longitudinal health records for software testing.
  • Synthea utilizes publicly contributed modules for patient life cycle, disease, and treatment progression modeling.

Observation:

  • This study evaluates Synthea's suitability for simulation studies using parameters from observational studies and randomized trials.
  • A Synthea module was developed to replicate a cost-effectiveness simulation comparing levofloxacin prophylaxis to usual care for leukemia.
  • The module replicated demographics, health events, costs, and mortality from the original study.

Findings:

  • Synthea can be utilized for certain types of simulation studies, with necessary modifications.
  • The Generic Module Framework was benchmarked against dedicated simulation platforms.
  • The effort required to create a Synthea module for simulation was assessed.

Implications:

  • Synthea offers a potential tool for health economics and outcomes research, expanding its application beyond software testing.
  • Adaptable simulation capabilities can aid in generating evidence for healthcare decision-making.
  • Further development may enhance Synthea's role in health policy and comparative effectiveness research.