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Modeling Patient Treatment Trajectories Using Markov Chains for Cost Analysis
Markus Haug1, Raivo Kolde1, Marek Oja1
1Institute of Computer Science, University of Tartu, Estonia.
Studies in Health Technology and Informatics
|May 19, 2023
Summary
This study introduces tools to analyze healthcare treatment trajectories using electronic medical records. These tools enable economic analysis of treatment patterns and financial comparisons between standard care and alternatives.
Area of Science:
- Health Informatics
- Health Economics
- Data Science
Background:
- Electronically stored medical records are valuable for studying healthcare treatment patterns.
- Analyzing treatment trajectories is crucial for evaluating healthcare economics and identifying best practices.
Purpose of the Study:
- To present a technical solution for analyzing treatment trajectories from electronic medical records.
- To enable economic evaluations of different healthcare treatment paths.
Main Methods:
- Utilized the Observational Health Data Sciences and Informatics (OHDSI) Observational Medical Outcomes Partnership (OMOP) Common Data Model.
- Constructed treatment trajectories from electronic health data.
- Implemented Markov models for financial analysis of treatment alternatives.
Main Results:
- Developed functional tools for constructing and analyzing treatment trajectories.
- Enabled the composition of Markov models for economic assessment.
- Facilitated financial comparisons between standard of care and alternative treatments.
Conclusions:
- The developed technical solution effectively utilizes electronic medical records for treatment trajectory analysis.
- The tools support robust economic evaluations of healthcare interventions.
- This approach aids in understanding and optimizing treatment pathways and associated costs.
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