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A Review of Current Patient Matching Techniques.

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Accurate patient identification is crucial for healthcare quality and safety. This review analyzes various patient matching techniques for their accuracy, cost, and execution time to improve health information exchange.

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Area of Science:

  • Health Informatics
  • Medical Record Management
  • Patient Safety

Background:

  • Healthcare organizations aim to enhance care quality and patient safety.
  • Accurate patient identification and record matching are essential for seamless health information exchange.
  • Comprehensive patient health records improve continuous care and population health management.

Purpose of the Study:

  • To review and analyze existing patient matching techniques.
  • To evaluate these techniques based on accuracy, cost, and execution time.
  • To inform strategies for optimizing patient identification in healthcare.

Main Methods:

  • Systematic review of current patient matching methodologies.
  • Comparative analysis of techniques focusing on key performance metrics.
  • Evaluation of accuracy, cost-effectiveness, and processing speed.

Main Results:

  • Identification of strengths and weaknesses across different patient matching approaches.
  • Data on the performance trade-offs between accuracy, cost, and execution time.
  • Insights into the most effective techniques for various healthcare settings.

Conclusions:

  • Patient matching techniques significantly impact healthcare data integrity and patient safety.
  • Selection of appropriate techniques requires balancing accuracy, cost, and efficiency.
  • Further research can refine methods for more robust and scalable patient identification solutions.