A framework for assessing patient crossover and health information exchange value
To evaluate the benefit of a health information exchange (HIE) between hospitals, we examine the rate of crossover among neurosurgical inpatients treated at Emory University Hospital (EUH) and Grady Memorial Hospital (GMH) in Atlanta, Georgia. To inform decisions regarding investment in HIE, we deve...
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Veröffentlicht in: | Journal of the American Medical Informatics Association : JAMIA 2011-09, Vol.18 (5), p.698-703 |
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creator | Laborde, David V Griffin, Jacqueline A Smalley, Hannah K Keskinocak, Pinar Mathew, George |
description | To evaluate the benefit of a health information exchange (HIE) between hospitals, we examine the rate of crossover among neurosurgical inpatients treated at Emory University Hospital (EUH) and Grady Memorial Hospital (GMH) in Atlanta, Georgia. To inform decisions regarding investment in HIE, we develop a methodology analyzing crossover behavior for application to larger more general patient populations.
Using neurosurgery inpatient visit data from EUH and GMH, unique patients who visited both hospitals were identified through classification by name and age at time of visit. The frequency of flow patterns, including time between visits, and the statistical significance of crossover rates for patients with particular diagnoses were determined.
The time between visits, flow patterns, and proportion of patients exhibiting crossover behavior were calculated for the total population studied as well as subpopulations.
5.25% of patients having multiple visits over the study period visited the neurosurgical departments at both hospitals. 77% of crossover patients visited the level 1 trauma center (GMH) before visiting EUH.
The true patient crossover may be under-estimated because the study population only consists of neurosurgical inpatients at EUH and GMH.
We demonstrate that detailed analysis of crossover behavior provides a deeper understanding of the potential value of HIE. |
doi_str_mv | 10.1136/amiajnl-2011-000140 |
format | Article |
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Using neurosurgery inpatient visit data from EUH and GMH, unique patients who visited both hospitals were identified through classification by name and age at time of visit. The frequency of flow patterns, including time between visits, and the statistical significance of crossover rates for patients with particular diagnoses were determined.
The time between visits, flow patterns, and proportion of patients exhibiting crossover behavior were calculated for the total population studied as well as subpopulations.
5.25% of patients having multiple visits over the study period visited the neurosurgical departments at both hospitals. 77% of crossover patients visited the level 1 trauma center (GMH) before visiting EUH.
The true patient crossover may be under-estimated because the study population only consists of neurosurgical inpatients at EUH and GMH.
We demonstrate that detailed analysis of crossover behavior provides a deeper understanding of the potential value of HIE.</description><identifier>ISSN: 1067-5027</identifier><identifier>EISSN: 1527-974X</identifier><identifier>DOI: 10.1136/amiajnl-2011-000140</identifier><identifier>PMID: 21705458</identifier><language>eng</language><publisher>England: BMJ Group</publisher><subject>Diagnosis-Related Groups - statistics & numerical data ; Electronic Health Records ; Georgia ; Hospitalization - statistics & numerical data ; Hospitals, Special - utilization ; Humans ; Information Dissemination ; Medical Record Linkage ; Neurosurgery ; Pilot Projects ; Research and Applications</subject><ispartof>Journal of the American Medical Informatics Association : JAMIA, 2011-09, Vol.18 (5), p.698-703</ispartof><rights>2011, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c436t-93a2e6e837e9392b5422b43420c50c3051c7bc0b3fab101ca2e9a01e2e7936ea3</citedby><cites>FETCH-LOGICAL-c436t-93a2e6e837e9392b5422b43420c50c3051c7bc0b3fab101ca2e9a01e2e7936ea3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3168308/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3168308/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,315,729,782,786,887,27933,27934,53800,53802</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21705458$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Laborde, David V</creatorcontrib><creatorcontrib>Griffin, Jacqueline A</creatorcontrib><creatorcontrib>Smalley, Hannah K</creatorcontrib><creatorcontrib>Keskinocak, Pinar</creatorcontrib><creatorcontrib>Mathew, George</creatorcontrib><title>A framework for assessing patient crossover and health information exchange value</title><title>Journal of the American Medical Informatics Association : JAMIA</title><addtitle>J Am Med Inform Assoc</addtitle><description>To evaluate the benefit of a health information exchange (HIE) between hospitals, we examine the rate of crossover among neurosurgical inpatients treated at Emory University Hospital (EUH) and Grady Memorial Hospital (GMH) in Atlanta, Georgia. To inform decisions regarding investment in HIE, we develop a methodology analyzing crossover behavior for application to larger more general patient populations.
Using neurosurgery inpatient visit data from EUH and GMH, unique patients who visited both hospitals were identified through classification by name and age at time of visit. The frequency of flow patterns, including time between visits, and the statistical significance of crossover rates for patients with particular diagnoses were determined.
The time between visits, flow patterns, and proportion of patients exhibiting crossover behavior were calculated for the total population studied as well as subpopulations.
5.25% of patients having multiple visits over the study period visited the neurosurgical departments at both hospitals. 77% of crossover patients visited the level 1 trauma center (GMH) before visiting EUH.
The true patient crossover may be under-estimated because the study population only consists of neurosurgical inpatients at EUH and GMH.
We demonstrate that detailed analysis of crossover behavior provides a deeper understanding of the potential value of HIE.</description><subject>Diagnosis-Related Groups - statistics & numerical data</subject><subject>Electronic Health Records</subject><subject>Georgia</subject><subject>Hospitalization - statistics & numerical data</subject><subject>Hospitals, Special - utilization</subject><subject>Humans</subject><subject>Information Dissemination</subject><subject>Medical Record Linkage</subject><subject>Neurosurgery</subject><subject>Pilot Projects</subject><subject>Research and Applications</subject><issn>1067-5027</issn><issn>1527-974X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU1P3DAQhq0KVD7aX1AJ-cYpdPyROLlUQqhAJSSEBBI3a2Imu6GJvbWzS_vv8bJbBCcutqV55tV4Hsa-CTgRQlXfcezx0Q-FBCEKABAaPrF9UUpTNEbf7-Q3VKYoQZo9dpDSY0YqqcrPbE8KA6Uu6312c8q7iCM9hfibdyFyTIlS6v2ML3DqyU_cxZBSWFGu-Qc-JxymOe99hsdMBM_pr5ujnxFf4bCkL2y3wyHR1-19yO7Of96eXRZX1xe_zk6vCqdVNRWNQkkV1cpQoxrZllrKVistwZXgFJTCmdZBqzpsBQiX6QZBkCTTqIpQHbIfm9zFsh3pweVRIw52EfsR4z8bsLfvK76f21lYWSWqWkGdA463ATH8WVKa7NgnR8OAnsIy2Wa9vnx8TNa1lgaaSmdSbciXpUXqXucRYNfW7NaaXVuzG2u56-jtV157_mtSz4xTlo0</recordid><startdate>20110901</startdate><enddate>20110901</enddate><creator>Laborde, David V</creator><creator>Griffin, Jacqueline A</creator><creator>Smalley, Hannah K</creator><creator>Keskinocak, Pinar</creator><creator>Mathew, George</creator><general>BMJ Group</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>5PM</scope></search><sort><creationdate>20110901</creationdate><title>A framework for assessing patient crossover and health information exchange value</title><author>Laborde, David V ; Griffin, Jacqueline A ; Smalley, Hannah K ; Keskinocak, Pinar ; Mathew, George</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c436t-93a2e6e837e9392b5422b43420c50c3051c7bc0b3fab101ca2e9a01e2e7936ea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Diagnosis-Related Groups - statistics & numerical data</topic><topic>Electronic Health Records</topic><topic>Georgia</topic><topic>Hospitalization - statistics & numerical data</topic><topic>Hospitals, Special - utilization</topic><topic>Humans</topic><topic>Information Dissemination</topic><topic>Medical Record Linkage</topic><topic>Neurosurgery</topic><topic>Pilot Projects</topic><topic>Research and Applications</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Laborde, David V</creatorcontrib><creatorcontrib>Griffin, Jacqueline A</creatorcontrib><creatorcontrib>Smalley, Hannah K</creatorcontrib><creatorcontrib>Keskinocak, Pinar</creatorcontrib><creatorcontrib>Mathew, George</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of the American Medical Informatics Association : JAMIA</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Laborde, David V</au><au>Griffin, Jacqueline A</au><au>Smalley, Hannah K</au><au>Keskinocak, Pinar</au><au>Mathew, George</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A framework for assessing patient crossover and health information exchange value</atitle><jtitle>Journal of the American Medical Informatics Association : JAMIA</jtitle><addtitle>J Am Med Inform Assoc</addtitle><date>2011-09-01</date><risdate>2011</risdate><volume>18</volume><issue>5</issue><spage>698</spage><epage>703</epage><pages>698-703</pages><issn>1067-5027</issn><eissn>1527-974X</eissn><abstract>To evaluate the benefit of a health information exchange (HIE) between hospitals, we examine the rate of crossover among neurosurgical inpatients treated at Emory University Hospital (EUH) and Grady Memorial Hospital (GMH) in Atlanta, Georgia. To inform decisions regarding investment in HIE, we develop a methodology analyzing crossover behavior for application to larger more general patient populations.
Using neurosurgery inpatient visit data from EUH and GMH, unique patients who visited both hospitals were identified through classification by name and age at time of visit. The frequency of flow patterns, including time between visits, and the statistical significance of crossover rates for patients with particular diagnoses were determined.
The time between visits, flow patterns, and proportion of patients exhibiting crossover behavior were calculated for the total population studied as well as subpopulations.
5.25% of patients having multiple visits over the study period visited the neurosurgical departments at both hospitals. 77% of crossover patients visited the level 1 trauma center (GMH) before visiting EUH.
The true patient crossover may be under-estimated because the study population only consists of neurosurgical inpatients at EUH and GMH.
We demonstrate that detailed analysis of crossover behavior provides a deeper understanding of the potential value of HIE.</abstract><cop>England</cop><pub>BMJ Group</pub><pmid>21705458</pmid><doi>10.1136/amiajnl-2011-000140</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
subjects | Diagnosis-Related Groups - statistics & numerical data Electronic Health Records Georgia Hospitalization - statistics & numerical data Hospitals, Special - utilization Humans Information Dissemination Medical Record Linkage Neurosurgery Pilot Projects Research and Applications |
title | A framework for assessing patient crossover and health information exchange value |
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