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Healthcare Systems using Clinical Data: Addressing Data Interoperability Challenges

Biswadip Ghosh (Metropolitan State University of Denver, USA)

EISBN13: 9781466641488|DOI: 10.4018/978-1-4666-2671-3.ch013

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Abstract

The use of Information Systems (IS) in healthcare organizations is increasing. A variety of information systems have been implemented to support administrative activities such as scheduling systems, insurance and billing, electronic prescriptions, pharmaceutical dispensaries, and patient health records and portals. To make a fundamental difference in the delivery of patient care, systems that support important clinical healthcare decision processes are needed that leverage the clinical knowledge embedded in patient medical records. The aggregation of clinical data from multiple sources is difficult due to data interoperability issues. The VHA case study of the CICSP system illustrates a program that effectively leveraged clinical data from multiple surgical programs to build a system to support decision-making at many organizational levels. The technical and organizational practices from the VHA case provide important lessons to address interoperability issues when building other healthcare information systems.

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Healthcare Systems using Clinical Data: Addressing Data Interoperability Challenges

Abstract