Integrating patient voices into health information for self-care and patient-clinician partnerships: Veterans Affairs design recommendations for patient-generated data applications

Electronic health record content is created by clinicians and is driven largely by intermittent and brief encounters with patients. Collecting data directly from patients in the form of patient-generated data (PGD) provides an unprecedented opportunity to capture personal, contextual patient informa...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of the American Medical Informatics Association : JAMIA 2016-05, Vol.23 (3), p.491-495
Hauptverfasser: Woods, Susan S, Evans, Neil C, Frisbee, Kathleen L
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 495
container_issue 3
container_start_page 491
container_title Journal of the American Medical Informatics Association : JAMIA
container_volume 23
creator Woods, Susan S
Evans, Neil C
Frisbee, Kathleen L
description Electronic health record content is created by clinicians and is driven largely by intermittent and brief encounters with patients. Collecting data directly from patients in the form of patient-generated data (PGD) provides an unprecedented opportunity to capture personal, contextual patient information that can supplement clinical data and enhance patients' self-care. The US Department of Veterans Affairs (VA) is striving to implement the enterprise-wide capability to collect and use PGD in order to partner with patients in their care, improve the patient healthcare experience, and promote shared decision making. Through knowledge gained from Veterans' and healthcare teams' perspectives, VA created a taxonomy and an evolving framework on which to design and develop applications that capture and help physicians utilize PGD. Ten recommendations for effectively collecting and integrating PGD into patient care are discussed, addressing health system culture, data value, architecture, policy, data standards, clinical workflow, data visualization, and analytics and population reach.
doi_str_mv 10.1093/jamia/ocv199
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1795879878</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1795879878</sourcerecordid><originalsourceid>FETCH-LOGICAL-c329t-b33f06bdb15296eb22ff79744c0d442c7213aa51e6a9b99b5db1d039cea53d823</originalsourceid><addsrcrecordid>eNo9kTtv3DAQhIkgQfxIOtcGyxSRzcdJFNMZRmIbMJAmMdwJK3J5R0MiFZJnwP8rPzDMnc_VDna_nWKGkDPOLjjT8vIJZg-X0Txzrd-RY94K1Wi1enxfNetU0zKhjshJzk-M8U7I9iM5Ep3mvOfsmPy9CwXXCYoPa7rUgaHQ5-gNZupDiXSDMJVN1S6mud5joFXRjJNrDCSkEOzhsTGTD954CHWTSsCUN37J3-gDFkwQMr1yDnzK1GL260ATmjjPGOzOOO-cD15rrP9Q0NJ6BQrLMnmz5z6RDw6mjJ9f5yn5_eP7r-vb5v7nzd311X1jpNClGaV0rBvtWDPRHY5COKdqNCvD7GoljBJcArQcO9Cj1mNbScukNgittL2Qp-TL3ndJ8c8Wcxlmnw1OEwSM2zxwpdte6V71Ff26R02KOSd0w5L8DOll4Gz439Ow62nY91Tx81fn7TijfYMPxch_QN-WQA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1795879878</pqid></control><display><type>article</type><title>Integrating patient voices into health information for self-care and patient-clinician partnerships: Veterans Affairs design recommendations for patient-generated data applications</title><source>Oxford University Press Journals All Titles (1996-Current)</source><source>MEDLINE</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Woods, Susan S ; Evans, Neil C ; Frisbee, Kathleen L</creator><creatorcontrib>Woods, Susan S ; Evans, Neil C ; Frisbee, Kathleen L</creatorcontrib><description>Electronic health record content is created by clinicians and is driven largely by intermittent and brief encounters with patients. Collecting data directly from patients in the form of patient-generated data (PGD) provides an unprecedented opportunity to capture personal, contextual patient information that can supplement clinical data and enhance patients' self-care. The US Department of Veterans Affairs (VA) is striving to implement the enterprise-wide capability to collect and use PGD in order to partner with patients in their care, improve the patient healthcare experience, and promote shared decision making. Through knowledge gained from Veterans' and healthcare teams' perspectives, VA created a taxonomy and an evolving framework on which to design and develop applications that capture and help physicians utilize PGD. Ten recommendations for effectively collecting and integrating PGD into patient care are discussed, addressing health system culture, data value, architecture, policy, data standards, clinical workflow, data visualization, and analytics and population reach.</description><identifier>ISSN: 1067-5027</identifier><identifier>ISSN: 1527-974X</identifier><identifier>EISSN: 1527-974X</identifier><identifier>DOI: 10.1093/jamia/ocv199</identifier><identifier>PMID: 26911810</identifier><language>eng</language><publisher>England</publisher><subject>Activities of Daily Living ; Data Collection - methods ; Electronic Health Records ; Focus Groups ; Humans ; Internet - statistics &amp; numerical data ; Self Care ; Self Report ; Self-Management ; United States ; United States Department of Veterans Affairs ; Veterans</subject><ispartof>Journal of the American Medical Informatics Association : JAMIA, 2016-05, Vol.23 (3), p.491-495</ispartof><rights>Published by Oxford University Press on behalf of the American Medical Informatics Association 2016. This work is written by US Government employees and is in the public domain in the US.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c329t-b33f06bdb15296eb22ff79744c0d442c7213aa51e6a9b99b5db1d039cea53d823</citedby><cites>FETCH-LOGICAL-c329t-b33f06bdb15296eb22ff79744c0d442c7213aa51e6a9b99b5db1d039cea53d823</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26911810$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Woods, Susan S</creatorcontrib><creatorcontrib>Evans, Neil C</creatorcontrib><creatorcontrib>Frisbee, Kathleen L</creatorcontrib><title>Integrating patient voices into health information for self-care and patient-clinician partnerships: Veterans Affairs design recommendations for patient-generated data applications</title><title>Journal of the American Medical Informatics Association : JAMIA</title><addtitle>J Am Med Inform Assoc</addtitle><description>Electronic health record content is created by clinicians and is driven largely by intermittent and brief encounters with patients. Collecting data directly from patients in the form of patient-generated data (PGD) provides an unprecedented opportunity to capture personal, contextual patient information that can supplement clinical data and enhance patients' self-care. The US Department of Veterans Affairs (VA) is striving to implement the enterprise-wide capability to collect and use PGD in order to partner with patients in their care, improve the patient healthcare experience, and promote shared decision making. Through knowledge gained from Veterans' and healthcare teams' perspectives, VA created a taxonomy and an evolving framework on which to design and develop applications that capture and help physicians utilize PGD. Ten recommendations for effectively collecting and integrating PGD into patient care are discussed, addressing health system culture, data value, architecture, policy, data standards, clinical workflow, data visualization, and analytics and population reach.</description><subject>Activities of Daily Living</subject><subject>Data Collection - methods</subject><subject>Electronic Health Records</subject><subject>Focus Groups</subject><subject>Humans</subject><subject>Internet - statistics &amp; numerical data</subject><subject>Self Care</subject><subject>Self Report</subject><subject>Self-Management</subject><subject>United States</subject><subject>United States Department of Veterans Affairs</subject><subject>Veterans</subject><issn>1067-5027</issn><issn>1527-974X</issn><issn>1527-974X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo9kTtv3DAQhIkgQfxIOtcGyxSRzcdJFNMZRmIbMJAmMdwJK3J5R0MiFZJnwP8rPzDMnc_VDna_nWKGkDPOLjjT8vIJZg-X0Txzrd-RY94K1Wi1enxfNetU0zKhjshJzk-M8U7I9iM5Ep3mvOfsmPy9CwXXCYoPa7rUgaHQ5-gNZupDiXSDMJVN1S6mud5joFXRjJNrDCSkEOzhsTGTD954CHWTSsCUN37J3-gDFkwQMr1yDnzK1GL260ATmjjPGOzOOO-cD15rrP9Q0NJ6BQrLMnmz5z6RDw6mjJ9f5yn5_eP7r-vb5v7nzd311X1jpNClGaV0rBvtWDPRHY5COKdqNCvD7GoljBJcArQcO9Cj1mNbScukNgittL2Qp-TL3ndJ8c8Wcxlmnw1OEwSM2zxwpdte6V71Ff26R02KOSd0w5L8DOll4Gz439Ow62nY91Tx81fn7TijfYMPxch_QN-WQA</recordid><startdate>201605</startdate><enddate>201605</enddate><creator>Woods, Susan S</creator><creator>Evans, Neil C</creator><creator>Frisbee, Kathleen L</creator><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></search><sort><creationdate>201605</creationdate><title>Integrating patient voices into health information for self-care and patient-clinician partnerships: Veterans Affairs design recommendations for patient-generated data applications</title><author>Woods, Susan S ; Evans, Neil C ; Frisbee, Kathleen L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c329t-b33f06bdb15296eb22ff79744c0d442c7213aa51e6a9b99b5db1d039cea53d823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Activities of Daily Living</topic><topic>Data Collection - methods</topic><topic>Electronic Health Records</topic><topic>Focus Groups</topic><topic>Humans</topic><topic>Internet - statistics &amp; numerical data</topic><topic>Self Care</topic><topic>Self Report</topic><topic>Self-Management</topic><topic>United States</topic><topic>United States Department of Veterans Affairs</topic><topic>Veterans</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Woods, Susan S</creatorcontrib><creatorcontrib>Evans, Neil C</creatorcontrib><creatorcontrib>Frisbee, Kathleen L</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><jtitle>Journal of the American Medical Informatics Association : JAMIA</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Woods, Susan S</au><au>Evans, Neil C</au><au>Frisbee, Kathleen L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrating patient voices into health information for self-care and patient-clinician partnerships: Veterans Affairs design recommendations for patient-generated data applications</atitle><jtitle>Journal of the American Medical Informatics Association : JAMIA</jtitle><addtitle>J Am Med Inform Assoc</addtitle><date>2016-05</date><risdate>2016</risdate><volume>23</volume><issue>3</issue><spage>491</spage><epage>495</epage><pages>491-495</pages><issn>1067-5027</issn><issn>1527-974X</issn><eissn>1527-974X</eissn><abstract>Electronic health record content is created by clinicians and is driven largely by intermittent and brief encounters with patients. Collecting data directly from patients in the form of patient-generated data (PGD) provides an unprecedented opportunity to capture personal, contextual patient information that can supplement clinical data and enhance patients' self-care. The US Department of Veterans Affairs (VA) is striving to implement the enterprise-wide capability to collect and use PGD in order to partner with patients in their care, improve the patient healthcare experience, and promote shared decision making. Through knowledge gained from Veterans' and healthcare teams' perspectives, VA created a taxonomy and an evolving framework on which to design and develop applications that capture and help physicians utilize PGD. Ten recommendations for effectively collecting and integrating PGD into patient care are discussed, addressing health system culture, data value, architecture, policy, data standards, clinical workflow, data visualization, and analytics and population reach.</abstract><cop>England</cop><pmid>26911810</pmid><doi>10.1093/jamia/ocv199</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1067-5027
ispartof Journal of the American Medical Informatics Association : JAMIA, 2016-05, Vol.23 (3), p.491-495
issn 1067-5027
1527-974X
1527-974X
language eng
recordid cdi_proquest_miscellaneous_1795879878
source Oxford University Press Journals All Titles (1996-Current); MEDLINE; EZB-FREE-00999 freely available EZB journals; PubMed Central
subjects Activities of Daily Living
Data Collection - methods
Electronic Health Records
Focus Groups
Humans
Internet - statistics & numerical data
Self Care
Self Report
Self-Management
United States
United States Department of Veterans Affairs
Veterans
title Integrating patient voices into health information for self-care and patient-clinician partnerships: Veterans Affairs design recommendations for patient-generated data applications
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T03%3A10%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Integrating%20patient%20voices%20into%20health%20information%20for%20self-care%20and%20patient-clinician%20partnerships:%20Veterans%20Affairs%20design%20recommendations%20for%20patient-generated%20data%20applications&rft.jtitle=Journal%20of%20the%20American%20Medical%20Informatics%20Association%20:%20JAMIA&rft.au=Woods,%20Susan%20S&rft.date=2016-05&rft.volume=23&rft.issue=3&rft.spage=491&rft.epage=495&rft.pages=491-495&rft.issn=1067-5027&rft.eissn=1527-974X&rft_id=info:doi/10.1093/jamia/ocv199&rft_dat=%3Cproquest_cross%3E1795879878%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1795879878&rft_id=info:pmid/26911810&rfr_iscdi=true