A Review of Current Patient Matching Techniques

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.