Annotating Free-Texts in EHRs Towards a Reusable and Machine-Actionable Health Data Resource

Area of Science:

• Health Informatics
• Data Science
• Medical Record Management

Background:

• Electronic health records (EHRs) offer valuable data for retrospective studies.
• Free-text fields in EHRs pose challenges for data availability, reusability, and sharing.
• Credentialed data within free-text limits secondary use and data sharing.

Purpose of the Study:

• To propose a novel method for guiding the annotation of EHRs free-text data.
• To enhance the standardization of free-text data sharing procedures.
• To improve data safety and facilitate secondary use of EHRs data.

Main Methods:

• Development of a standardized annotation framework for EHRs free-text.
• Implementation of data safety protocols for information extraction.
• Establishment of procedures for secure data sharing.

Main Results:

• The proposed method facilitates structured data extraction from unstructured EHRs notes.
• Standardized annotation improves data consistency and quality for research.
• Enhanced data sharing protocols increase the potential for secondary data analysis.

Conclusions:

• A standardized approach to EHRs free-text annotation and sharing is crucial.
• The proposed method addresses data safety and procedural standardization challenges.
• This facilitates greater data reusability for clinical research and data science applications.