Name
Title | ||
|---|---|---|
Bridging encounter forms and electronic medical record databases: Annotation, mapping, and integration |
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/BIBM.2012.6392709 | BIBM |
Keywords | DocType | Citations |
standard medical terminology,electronic medical record databases,medical record,single database,electronic health,underlying medical databases,medical institution,fEHR-plus system,Standardizing encounter form,electronic health record system,database design | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ritu Khare | 1 | 114 | 10.35 |
| Il-Yeol Song | 2 | 2041 | 301.54 |
| Yuan An | 3 | 117 | 14.51 |
| Xiaohua Hu | 4 | 2819 | 314.15 |