Trends in user-initiated health information exchange in the inpatient, outpatient, and emergency settings
Abstract Prior research on health information exchange (HIE) typically measured provider usage through surveys or they summarized the availability of HIE services in a healthcare organization. Few studies utilized user log files. Using HIE access log files, we measured HIE use in real-world clinical...
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| Published in | Journal of the American Medical Informatics Association : JAMIA Vol. 28; no. 3; pp. 622 - 627 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
England
Oxford University Press
01.03.2021
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| Subjects | |
| Online Access | Get full text |
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| Abstract | Abstract
Prior research on health information exchange (HIE) typically measured provider usage through surveys or they summarized the availability of HIE services in a healthcare organization. Few studies utilized user log files. Using HIE access log files, we measured HIE use in real-world clinical settings over a 7-year period (2011-2017). Use of HIE increased in inpatient, outpatient, and emergency department (ED) settings. Further, while extant literature has generally viewed the ED as the most relevant setting for HIE, the greatest change in HIE use was observed in the inpatient setting, followed by the ED setting and then the outpatient setting. Our findings suggest that in addition to federal incentives, the implementation of features that address barriers to access (eg, Single Sign On), as well as value-added services (eg, interoperability with external data sources), may be related to the growth in user-initiated HIE. |
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| AbstractList | Prior research on health information exchange (HIE) typically measured provider usage through surveys or they summarized the availability of HIE services in a healthcare organization. Few studies utilized user log files. Using HIE access log files, we measured HIE use in real-world clinical settings over a 7-year period (2011-2017). Use of HIE increased in inpatient, outpatient, and emergency department (ED) settings. Further, while extant literature has generally viewed the ED as the most relevant setting for HIE, the greatest change in HIE use was observed in the inpatient setting, followed by the ED setting and then the outpatient setting. Our findings suggest that in addition to federal incentives, the implementation of features that address barriers to access (eg, Single Sign On), as well as value-added services (eg, interoperability with external data sources), may be related to the growth in user-initiated HIE. Abstract Prior research on health information exchange (HIE) typically measured provider usage through surveys or they summarized the availability of HIE services in a healthcare organization. Few studies utilized user log files. Using HIE access log files, we measured HIE use in real-world clinical settings over a 7-year period (2011-2017). Use of HIE increased in inpatient, outpatient, and emergency department (ED) settings. Further, while extant literature has generally viewed the ED as the most relevant setting for HIE, the greatest change in HIE use was observed in the inpatient setting, followed by the ED setting and then the outpatient setting. Our findings suggest that in addition to federal incentives, the implementation of features that address barriers to access (eg, Single Sign On), as well as value-added services (eg, interoperability with external data sources), may be related to the growth in user-initiated HIE. Prior research on health information exchange (HIE) typically measured provider usage through surveys or they summarized the availability of HIE services in a healthcare organization. Few studies utilized user log files. Using HIE access log files, we measured HIE use in real-world clinical settings over a 7-year period (2011-2017). Use of HIE increased in inpatient, outpatient, and emergency department (ED) settings. Further, while extant literature has generally viewed the ED as the most relevant setting for HIE, the greatest change in HIE use was observed in the inpatient setting, followed by the ED setting and then the outpatient setting. Our findings suggest that in addition to federal incentives, the implementation of features that address barriers to access (eg, Single Sign On), as well as value-added services (eg, interoperability with external data sources), may be related to the growth in user-initiated HIE.Prior research on health information exchange (HIE) typically measured provider usage through surveys or they summarized the availability of HIE services in a healthcare organization. Few studies utilized user log files. Using HIE access log files, we measured HIE use in real-world clinical settings over a 7-year period (2011-2017). Use of HIE increased in inpatient, outpatient, and emergency department (ED) settings. Further, while extant literature has generally viewed the ED as the most relevant setting for HIE, the greatest change in HIE use was observed in the inpatient setting, followed by the ED setting and then the outpatient setting. Our findings suggest that in addition to federal incentives, the implementation of features that address barriers to access (eg, Single Sign On), as well as value-added services (eg, interoperability with external data sources), may be related to the growth in user-initiated HIE. |
| Author | Finnell, John T Dixon, Brian E Vest, Joshua R Rahurkar, Saurabh |
| AuthorAffiliation | 6 Department of Epidemiology, IU Richard M. Fairbanks School of Public Health, Indiana University–Purdue University Indianapolis , Indianapolis, Indiana, USA 1 Department of Biomedical Informatics, College of Medicine, The Ohio State University , Columbus, Ohio, USA 2 Center for the Advancement of Team Science, Analytics, and Systems Thinking (CATALYST), The Ohio State University , Columbus, Ohio, USA 3 Department of Health Policy and Management, IU Richard M. Fairbanks School of Public Health, Indiana University–Purdue University Indianapolis , Indianapolis, Indiana, USA 5 Department of Emergency Medicine, Indiana University School of Medicine, Indianapolis , Indiana, USA 4 Center for Biomedical Informatics, Regenstrief Institute , Indianapolis, Indiana, USA |
| AuthorAffiliation_xml | – name: 1 Department of Biomedical Informatics, College of Medicine, The Ohio State University , Columbus, Ohio, USA – name: 5 Department of Emergency Medicine, Indiana University School of Medicine, Indianapolis , Indiana, USA – name: 2 Center for the Advancement of Team Science, Analytics, and Systems Thinking (CATALYST), The Ohio State University , Columbus, Ohio, USA – name: 6 Department of Epidemiology, IU Richard M. Fairbanks School of Public Health, Indiana University–Purdue University Indianapolis , Indianapolis, Indiana, USA – name: 4 Center for Biomedical Informatics, Regenstrief Institute , Indianapolis, Indiana, USA – name: 3 Department of Health Policy and Management, IU Richard M. Fairbanks School of Public Health, Indiana University–Purdue University Indianapolis , Indianapolis, Indiana, USA |
| Author_xml | – sequence: 1 givenname: Saurabh orcidid: 0000-0001-8597-3087 surname: Rahurkar fullname: Rahurkar, Saurabh email: saurabh.rahurkar@osumc.edu organization: Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, USA – sequence: 2 givenname: Joshua R orcidid: 0000-0002-7226-9688 surname: Vest fullname: Vest, Joshua R organization: Department of Health Policy and Management, IU Richard M. Fairbanks School of Public Health, Indiana University–Purdue University Indianapolis, Indianapolis, Indiana, USA – sequence: 3 givenname: John T surname: Finnell fullname: Finnell, John T organization: Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA – sequence: 4 givenname: Brian E orcidid: 0000-0002-1121-0607 surname: Dixon fullname: Dixon, Brian E organization: Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA |
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| Cites_doi | 10.1504/IJNVO.2016.076486 10.1111/1475-6773.13210 10.1377/hlthaff.2010.0935 10.1016/j.jbi.2017.05.007 10.1093/jamiaopen/ooz028 10.1016/B978-0-12-803135-3.00029-3 10.1377/hlthaff.2011.1314 10.1016/j.ijmedinf.2015.06.012 10.1093/jamia/ocv068 10.1377/hlthaff.2013.0047 10.1542/peds.2015-4335 10.1093/jamia/ocx044 10.1093/jamia/ocy035 10.1136/amiajnl-2014-002760 10.1016/B978-0-12-803135-3.00001-3 10.1287/isre.2014.0547 10.1093/jamia/ocw116 10.1016/j.jbi.2019.103343 10.1016/j.jacr.2015.09.010 |
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| Copyright | The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com 2020 The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com. |
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| Keywords | HIE usage interoperability Health information exchange log-file analysis |
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Prior research on health information exchange (HIE) typically measured provider usage through surveys or they summarized the availability of HIE... Prior research on health information exchange (HIE) typically measured provider usage through surveys or they summarized the availability of HIE services in a... |
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| Title | Trends in user-initiated health information exchange in the inpatient, outpatient, and emergency settings |
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