Conference proceeding
Bridging encounter forms and electronic medical record databases: Annotation, mapping, and integration
2012 IEEE International Conference on Bioinformatics and Biomedicine, pp 1-4
Oct 2012
Abstract
Forms are a major source of input for getting data into the underlying medical databases of electronic health/medical record (EHR/EMR) systems. Standardizing encounter forms and integrating data collected from different forms into a single database would greatly reduce heterogeneity. In this paper, we describe a framework, the fEHR-plus system, that annotates, maps, and integrates user-specified encounter forms into a single database. The development of the framework incorporates machine learning, standard medical terminology, and the principles of database design. We conduct an empirical study with 52 forms collected from 6 medical institutions for evaluating the performance of the fEHR-plus system. The overall results show that the system is promising towards improving interoperability among electronic health record systems.
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3 citations in Scopus
Details
- Title
- Bridging encounter forms and electronic medical record databases: Annotation, mapping, and integration
- Creators
- Yuan An - iSchool at DrexelR Khare - Drexel UniversityXiaohua Hu - iSchool at DrexelIl-Yeol Song - iSchool at Drexel
- Publication Details
- 2012 IEEE International Conference on Bioinformatics and Biomedicine, pp 1-4
- Conference
- 2012 IEEE International Conference on Bioinformatics and Biomedicine
- Publisher
- IEEE
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Scopus ID
- 2-s2.0-84872578457
- Other Identifier
- 991019182756104721