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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 |
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| cited_by | cdi_FETCH-LOGICAL-c4598-db058b79d47994f521fb0b9b868e6f770e8489fddc36717e333a2cab060f00e23 |
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| cites | cdi_FETCH-LOGICAL-c4598-db058b79d47994f521fb0b9b868e6f770e8489fddc36717e333a2cab060f00e23 |
| container_end_page | 481 |
| container_issue | 3 |
| container_start_page | 463 |
| container_title | Decision sciences |
| container_volume | 44 |
| creator | Ben-Assuli, Ofir Leshno, Moshe |
| description | 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. |
| doi_str_mv | 10.1111/deci.12018 |
| format | article |
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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.</description><identifier>ISSN: 0011-7315</identifier><identifier>EISSN: 1540-5915</identifier><identifier>DOI: 10.1111/deci.12018</identifier><identifier>CODEN: DESCDQ</identifier><language>eng</language><publisher>Atlanta: Blackwell Publishing Ltd</publisher><subject>Acute Myocardial Infarction ; Cost analysis ; Cost-Benefit Analysis ; Cost-Effectiveness ; Decision analysis ; Decision making ; Decision trees ; Decisions ; Doctors ; Economic behaviour ; Electronic health records ; Electronic Medical Records ; Emergency medical care ; Emergency medical services ; Health care ; Health care industry ; Information systems ; Markov analysis ; Markov Model ; Markovian processes ; Medical ; Medical Decision Analysis ; Medical Information Systems ; Medical records ; Policies ; Studies</subject><ispartof>Decision sciences, 2013-06, Vol.44 (3), p.463-481</ispartof><rights>2013 The Authors Decision Sciences Journal © 2013 Decision Sciences Institute</rights><rights>Copyright American Institute for Decision Sciences Jun 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4598-db058b79d47994f521fb0b9b868e6f770e8489fddc36717e333a2cab060f00e23</citedby><cites>FETCH-LOGICAL-c4598-db058b79d47994f521fb0b9b868e6f770e8489fddc36717e333a2cab060f00e23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902,33200,33201</link.rule.ids></links><search><creatorcontrib>Ben-Assuli, Ofir</creatorcontrib><creatorcontrib>Leshno, Moshe</creatorcontrib><title>Using Electronic Medical Records in Admission Decisions: A Cost Effectiveness Analysis</title><title>Decision sciences</title><addtitle>Decision Sciences</addtitle><description>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.</description><subject>Acute Myocardial Infarction</subject><subject>Cost analysis</subject><subject>Cost-Benefit Analysis</subject><subject>Cost-Effectiveness</subject><subject>Decision analysis</subject><subject>Decision making</subject><subject>Decision trees</subject><subject>Decisions</subject><subject>Doctors</subject><subject>Economic behaviour</subject><subject>Electronic health records</subject><subject>Electronic Medical Records</subject><subject>Emergency medical care</subject><subject>Emergency medical services</subject><subject>Health care</subject><subject>Health care industry</subject><subject>Information systems</subject><subject>Markov analysis</subject><subject>Markov Model</subject><subject>Markovian processes</subject><subject>Medical</subject><subject>Medical Decision Analysis</subject><subject>Medical Information Systems</subject><subject>Medical records</subject><subject>Policies</subject><subject>Studies</subject><issn>0011-7315</issn><issn>1540-5915</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>8BJ</sourceid><recordid>eNqFkU1v1DAQhq2KSl1aLv0FlrggpJSZOP7itkq3H1ILolDam5U4NnJJk-LZpey_b5YFDhzAl_HheV7N6GXsEOEIp_emCz4dYQlodtgMZQWFtCifsRkAYqEFyj32nOgOAJSsxIx9vqY0fOGLPvhlHofk-WXokm96fhX8mDviaeDz7j4RpXHgx1P-5kNv-ZzXIy35IsZJTd_DEIj4fGj6NSU6YLux6Sm8-DX32fXJ4lN9Vly8Pz2v5xeFr6Q1RdeCNK22XaWtraIsMbbQ2tYoE1TUGoKpjI1d54XSqIMQoil904KCCBBKsc9ebXMf8vhtFWjppk196PtmCOOKHEpQQoFR1f_RCg2iVBYm9OVf6N24ytNpEyV0qY0A3AS-3lI-j0Q5RPeQ032T1w7BbdpwmzbczzYmGLfwY-rD-h-kO17U57-dYuskWoYff5wmf3VKCy3dzbtTd3tir3R9-9F9EE9Mr5mR</recordid><startdate>201306</startdate><enddate>201306</enddate><creator>Ben-Assuli, Ofir</creator><creator>Leshno, Moshe</creator><general>Blackwell Publishing Ltd</general><general>American Institute for Decision Sciences</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8BJ</scope><scope>8FD</scope><scope>FQK</scope><scope>FR3</scope><scope>JBE</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>201306</creationdate><title>Using Electronic Medical Records in Admission Decisions: A Cost Effectiveness Analysis</title><author>Ben-Assuli, Ofir ; Leshno, Moshe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4598-db058b79d47994f521fb0b9b868e6f770e8489fddc36717e333a2cab060f00e23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Acute Myocardial Infarction</topic><topic>Cost analysis</topic><topic>Cost-Benefit Analysis</topic><topic>Cost-Effectiveness</topic><topic>Decision analysis</topic><topic>Decision making</topic><topic>Decision trees</topic><topic>Decisions</topic><topic>Doctors</topic><topic>Economic behaviour</topic><topic>Electronic health records</topic><topic>Electronic Medical Records</topic><topic>Emergency medical care</topic><topic>Emergency medical services</topic><topic>Health care</topic><topic>Health care industry</topic><topic>Information systems</topic><topic>Markov analysis</topic><topic>Markov Model</topic><topic>Markovian processes</topic><topic>Medical</topic><topic>Medical Decision Analysis</topic><topic>Medical Information Systems</topic><topic>Medical records</topic><topic>Policies</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ben-Assuli, Ofir</creatorcontrib><creatorcontrib>Leshno, Moshe</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Technology Research Database</collection><collection>International Bibliography of the Social Sciences</collection><collection>Engineering Research Database</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Decision sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ben-Assuli, Ofir</au><au>Leshno, Moshe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using Electronic Medical Records in Admission Decisions: A Cost Effectiveness Analysis</atitle><jtitle>Decision sciences</jtitle><addtitle>Decision Sciences</addtitle><date>2013-06</date><risdate>2013</risdate><volume>44</volume><issue>3</issue><spage>463</spage><epage>481</epage><pages>463-481</pages><issn>0011-7315</issn><eissn>1540-5915</eissn><coden>DESCDQ</coden><abstract>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.</abstract><cop>Atlanta</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/deci.12018</doi><tpages>19</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0011-7315 |
| ispartof | Decision sciences, 2013-06, Vol.44 (3), p.463-481 |
| issn | 0011-7315 1540-5915 |
| language | eng |
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| source | International Bibliography of the Social Sciences (IBSS); Wiley:Jisc Collections:Wiley Read and Publish Open Access 2024-2025 (reading list); Business Source Ultimate (EBSCOHost) |
| subjects | Acute Myocardial Infarction Cost analysis Cost-Benefit Analysis Cost-Effectiveness Decision analysis Decision making Decision trees Decisions Doctors Economic behaviour Electronic health records Electronic Medical Records Emergency medical care Emergency medical services Health care Health care industry Information systems Markov analysis Markov Model Markovian processes Medical Medical Decision Analysis Medical Information Systems Medical records Policies Studies |
| title | Using Electronic Medical Records in Admission Decisions: A Cost Effectiveness Analysis |
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