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Text management in a healthcare information system
P J Haug1, S E Henderson, B B Maack
1LDS Hospital, Salt Lake City, UT.
Journal of AHIMA
|November 4, 1994
Summary
LDS Hospital developed an innovative system to integrate natural language processing (NLP) from patient records into electronic health records (EHRs). This system enhances the usability and accessibility of critical textual data in patient care.
Area of Science:
- Medical Informatics
- Clinical Data Management
- Natural Language Processing
Background:
- Textual data within patient records is crucial for medical decision-making.
- Integrating unstructured clinical notes into electronic health records (EHRs) presents significant challenges.
- Efficiently utilizing this data can improve patient care and research.
Purpose of the Study:
- To describe an innovative system implemented at LDS Hospital.
- To demonstrate the integration of natural language or textual data into the computerized patient record.
- To enhance the accessibility and utility of clinical notes within EHRs.
Main Methods:
- Implementation of a novel system at LDS Hospital.
- Focus on integrating natural language processing (NLP) techniques.
- Development of methods to structure and incorporate textual data into existing EHR systems.
Main Results:
- Successful integration of textual data into the computerized patient record.
- Demonstration of a functional system for managing clinical notes.
- Improved accessibility of previously unstructured patient information.
Conclusions:
- The implemented system effectively integrates textual data into the EHR.
- This approach enhances the value of clinical notes for patient care.
- Further development in this area can revolutionize medical record management.