Title
Information discovery on electronic health records using authority flow techniques.
Abstract
As the use of electronic health records (EHRs) becomes more widespread, so does the need to search and provide effective information discovery within them. Querying by keyword has emerged as one of the most effective paradigms for searching. Most work in this area is based on traditional Information Retrieval (IR) techniques, where each document is compared individually against the query. We compare the effectiveness of two fundamentally different techniques for keyword search of EHRs.We built two ranking systems. The traditional BM25 system exploits the EHRs' content without regard to association among entities within. The Clinical ObjectRank (CO) system exploits the entities' associations in EHRs using an authority-flow algorithm to discover the most relevant entities. BM25 and CO were deployed on an EHR dataset of the cardiovascular division of Miami Children's Hospital. Using sequences of keywords as queries, sensitivity and specificity were measured by two physicians for a set of 11 queries related to congenital cardiac disease.Our pilot evaluation showed that CO outperforms BM25 in terms of sensitivity (65% vs. 38%) by 71% on average, while maintaining the specificity (64% vs. 61%). The evaluation was done by two physicians.Authority-flow techniques can greatly improve the detection of relevant information in EHRs and hence deserve further study.
Year
DOI
Venue
2010
10.1186/1472-6947-10-64
BMC Med. Inf. & Decision Making
Keywords
Field
DocType
information,internet,algorithms,subject headings,health informatics,information retrieval,medical informatics
Data mining,Information retrieval,tf–idf,Computer science,Keyword search,Health informatics,Clinical Document Architecture,The Internet,Information discovery
Journal
Volume
Issue
ISSN
10
1
1472-6947
Citations 
PageRank 
References 
2
0.38
23
Authors
4
Name
Order
Citations
PageRank
Vagelis Hristidis12814185.78
Ramakrishna Varadarajan219510.66
Paul Biondich3253.87
Michael Weiner4201.92