DocumentCode
2441745
Title
Making sense of healthcare benefits
Author
Bnayahu, Jonathan ; Goldstein, Maayan ; Nisenson, Mordechai ; Simionovici, Yahalomit
Author_Institution
IBM Haifa Res. Lab., Haifa Univ. Campus, Haifa, Israel
fYear
2012
fDate
2-9 June 2012
Firstpage
1034
Lastpage
1043
Abstract
A key piece of information in healthcare is a patient´s benefit plan. It details which treatments and procedures are covered by the health insurer (or payer), and at which conditions. While the most accurate and complete implementation of the plan resides in the payers claims adjudication systems, the inherent complexity of these systems forces payers to maintain multiple repositories of benefit information for other service and regulatory needs. In this paper we present a technology that deals with this complexity. We show how a large US health payer benefited from using the visualization, search, summarization and other capabilities of the technology. We argue that this technology can be used to improve productivity and reduce error rate in the benefits administration workflow, leading to lower administrative overhead and cost for health payers, which benefits both payers and patients.
Keywords
health care; insurance data processing; medical information systems; US health payer; benefits administration workflow; claims adjudication systems; error rate reduction; health insurer; healthcare benefits; patient benefit plan; productivity improvement; technology search; technology summarization; technology visualization; Complexity theory; Data mining; Engines; Insurance; Medical services; Natural languages; Search engines;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering (ICSE), 2012 34th International Conference on
Conference_Location
Zurich
ISSN
0270-5257
Print_ISBN
978-1-4673-1066-6
Electronic_ISBN
0270-5257
Type
conf
DOI
10.1109/ICSE.2012.6227116
Filename
6227116
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