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Using Electronic Medical Records in Admission Decisions: A Cost Effectiveness Analysis
ABSTRACT In recent years, the healthcare sector has invested heavily in medical information systems to improve decision making while reducing medical costs and integrating medical data from multiple sources. However, the overall contribution of this technology to the medical field remains controvers...
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Published in: | Decision sciences 2013-06, Vol.44 (3), p.463-481 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | ABSTRACT
In recent years, the healthcare sector has invested heavily in medical information systems to improve decision making while reducing medical costs and integrating medical data from multiple sources. However, the overall contribution of this technology to the medical field remains controversial, especially in high‐stress environments such as the emergency department. This article evaluates the differential effects of accessing an electronic medical record (EMR) system on the decision to admit, based on diagnosis of acute myocardial infarction (AMI), which is one of the main reasons people go to the emergency department. The admission decision with or without accessing the EMR system is modeled as a decision tree and a Markovian process. A cost‐effectiveness analysis compares the added value of information (retrieved from the EMR system) against the cost of providing this information. This model is then tested on a simulation of patients presenting symptoms of AMI. The results show that use of the EMR led to greater cost‐effectiveness in cases of suspected AMI. The findings of this study may assist physicians by demonstrating a probable contribution of EMR to improved medical outcomes and may inform policy makers in the healthcare sector regarding the advisability of investing in such systems in an emergency department. |
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ISSN: | 0011-7315 1540-5915 |
DOI: | 10.1111/deci.12018 |