Harnessing next-generation informatics for personalizing medicine: a report from AMIA’s 2014 Health Policy Invitational Meeting
The American Medical Informatics Association convened the 2014 Health Policy Invitational Meeting to develop recommendations for updates to current policies and to establish an informatics research agenda for personalizing medicine. In particular, the meeting focused on discussing informatics challe...
Gespeichert in:
Veröffentlicht in: | Journal of the American Medical Informatics Association : JAMIA 2016-03, Vol.23 (2), p.413-419 |
---|---|
Hauptverfasser: | , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 419 |
---|---|
container_issue | 2 |
container_start_page | 413 |
container_title | Journal of the American Medical Informatics Association : JAMIA |
container_volume | 23 |
creator | Wiley, Laura K Tarczy-Hornoch, Peter Denny, Joshua C Freimuth, Robert R Overby, Casey L Shah, Nigam Martin, Ross D Sarkar, Indra Neil |
description | The American Medical Informatics Association convened the 2014 Health Policy Invitational Meeting to develop recommendations for updates to current policies and to establish an informatics research agenda for personalizing medicine. In particular, the meeting focused on discussing informatics challenges related to personalizing care through the integration of genomic or other high-volume biomolecular data with data from clinical systems to make health care more efficient and effective. This report summarizes the findings (n = 6) and recommendations (n = 15) from the policy meeting, which were clustered into 3 broad areas: (1) policies governing data access for research and personalization of care; (2) policy and research needs for evolving data interpretation and knowledge representation; and (3) policy and research needs to ensure data integrity and preservation. The meeting outcome underscored the need to address a number of important policy and technical considerations in order to realize the potential of personalized or precision medicine in actual clinical contexts. |
doi_str_mv | 10.1093/jamia/ocv111 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6457095</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><oup_id>10.1093/jamia/ocv111</oup_id><sourcerecordid>1772836888</sourcerecordid><originalsourceid>FETCH-LOGICAL-c416t-17d9f37b47b8e7053980a430c55f290d484d46296624be10c4e1172b889ed4a33</originalsourceid><addsrcrecordid>eNp9kbFuFDEQhi1EREKgo0buoGCJ7fXaXopIpwhyJyWCAiQ6y-udvTjatRfbdyJU8Bi8Xp4EJ5dE0FDNL82nb0b6EXpByVtK2vro0kzOHAW7pZQ-Qge0YbJqJf_6uGQiZNUQJvfR05QuCaGC1c0TtM9ES6ki6gD9WproISXn19jD91ytwUM02QWPnR9CnEq2CZeEZ4gpeDO6Hzf0BL2zzsM7bHCEOcSMhxgmvDhfLa5__k6YEcrxEsyYL_CnMDp7hVd-6_Kt3Iz4HCAX0TO0N5gxwfO7eYi-fHj_-WRZnX08XZ0szirLqcgVlX071LLjslMgSVO3ihheE9s0A2tJzxXvuWCtEIx3QInlQKlknVIt9NzU9SE63nnnTVd-t-BzNKOeo5tMvNLBOP3vxrsLvQ5bLXgjSdsUwes7QQzfNpCynlyyMI7GQ9gkTaVkqhZKqYK-2aE2hpQiDA9nKNE3renb1vSutYK__Pu1B_i-pgK82gFhM_9f9QdInqTt</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1772836888</pqid></control><display><type>article</type><title>Harnessing next-generation informatics for personalizing medicine: a report from AMIA’s 2014 Health Policy Invitational Meeting</title><source>MEDLINE</source><source>Oxford University Press Journals All Titles (1996-Current)</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Wiley, Laura K ; Tarczy-Hornoch, Peter ; Denny, Joshua C ; Freimuth, Robert R ; Overby, Casey L ; Shah, Nigam ; Martin, Ross D ; Sarkar, Indra Neil</creator><creatorcontrib>Wiley, Laura K ; Tarczy-Hornoch, Peter ; Denny, Joshua C ; Freimuth, Robert R ; Overby, Casey L ; Shah, Nigam ; Martin, Ross D ; Sarkar, Indra Neil</creatorcontrib><description>The American Medical Informatics Association convened the 2014 Health Policy Invitational Meeting to develop recommendations for updates to current policies and to establish an informatics research agenda for personalizing medicine. In particular, the meeting focused on discussing informatics challenges related to personalizing care through the integration of genomic or other high-volume biomolecular data with data from clinical systems to make health care more efficient and effective. This report summarizes the findings (n = 6) and recommendations (n = 15) from the policy meeting, which were clustered into 3 broad areas: (1) policies governing data access for research and personalization of care; (2) policy and research needs for evolving data interpretation and knowledge representation; and (3) policy and research needs to ensure data integrity and preservation. The meeting outcome underscored the need to address a number of important policy and technical considerations in order to realize the potential of personalized or precision medicine in actual clinical contexts.</description><identifier>ISSN: 1067-5027</identifier><identifier>ISSN: 1527-974X</identifier><identifier>EISSN: 1527-974X</identifier><identifier>DOI: 10.1093/jamia/ocv111</identifier><identifier>PMID: 26911808</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>AMIA Report ; Health Policy ; Humans ; Medical Informatics ; Precision Medicine ; Societies, Medical ; United States</subject><ispartof>Journal of the American Medical Informatics Association : JAMIA, 2016-03, Vol.23 (2), p.413-419</ispartof><rights>The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2016</rights><rights>The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.</rights><rights>The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c416t-17d9f37b47b8e7053980a430c55f290d484d46296624be10c4e1172b889ed4a33</citedby><cites>FETCH-LOGICAL-c416t-17d9f37b47b8e7053980a430c55f290d484d46296624be10c4e1172b889ed4a33</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/PMC6457095/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6457095/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,1584,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26911808$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wiley, Laura K</creatorcontrib><creatorcontrib>Tarczy-Hornoch, Peter</creatorcontrib><creatorcontrib>Denny, Joshua C</creatorcontrib><creatorcontrib>Freimuth, Robert R</creatorcontrib><creatorcontrib>Overby, Casey L</creatorcontrib><creatorcontrib>Shah, Nigam</creatorcontrib><creatorcontrib>Martin, Ross D</creatorcontrib><creatorcontrib>Sarkar, Indra Neil</creatorcontrib><title>Harnessing next-generation informatics for personalizing medicine: a report from AMIA’s 2014 Health Policy Invitational Meeting</title><title>Journal of the American Medical Informatics Association : JAMIA</title><addtitle>J Am Med Inform Assoc</addtitle><description>The American Medical Informatics Association convened the 2014 Health Policy Invitational Meeting to develop recommendations for updates to current policies and to establish an informatics research agenda for personalizing medicine. In particular, the meeting focused on discussing informatics challenges related to personalizing care through the integration of genomic or other high-volume biomolecular data with data from clinical systems to make health care more efficient and effective. This report summarizes the findings (n = 6) and recommendations (n = 15) from the policy meeting, which were clustered into 3 broad areas: (1) policies governing data access for research and personalization of care; (2) policy and research needs for evolving data interpretation and knowledge representation; and (3) policy and research needs to ensure data integrity and preservation. The meeting outcome underscored the need to address a number of important policy and technical considerations in order to realize the potential of personalized or precision medicine in actual clinical contexts.</description><subject>AMIA Report</subject><subject>Health Policy</subject><subject>Humans</subject><subject>Medical Informatics</subject><subject>Precision Medicine</subject><subject>Societies, Medical</subject><subject>United States</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>eNp9kbFuFDEQhi1EREKgo0buoGCJ7fXaXopIpwhyJyWCAiQ6y-udvTjatRfbdyJU8Bi8Xp4EJ5dE0FDNL82nb0b6EXpByVtK2vro0kzOHAW7pZQ-Qge0YbJqJf_6uGQiZNUQJvfR05QuCaGC1c0TtM9ES6ki6gD9WproISXn19jD91ytwUM02QWPnR9CnEq2CZeEZ4gpeDO6Hzf0BL2zzsM7bHCEOcSMhxgmvDhfLa5__k6YEcrxEsyYL_CnMDp7hVd-6_Kt3Iz4HCAX0TO0N5gxwfO7eYi-fHj_-WRZnX08XZ0szirLqcgVlX071LLjslMgSVO3ihheE9s0A2tJzxXvuWCtEIx3QInlQKlknVIt9NzU9SE63nnnTVd-t-BzNKOeo5tMvNLBOP3vxrsLvQ5bLXgjSdsUwes7QQzfNpCynlyyMI7GQ9gkTaVkqhZKqYK-2aE2hpQiDA9nKNE3renb1vSutYK__Pu1B_i-pgK82gFhM_9f9QdInqTt</recordid><startdate>20160301</startdate><enddate>20160301</enddate><creator>Wiley, Laura K</creator><creator>Tarczy-Hornoch, Peter</creator><creator>Denny, Joshua C</creator><creator>Freimuth, Robert R</creator><creator>Overby, Casey L</creator><creator>Shah, Nigam</creator><creator>Martin, Ross D</creator><creator>Sarkar, Indra Neil</creator><general>Oxford University Press</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>5PM</scope></search><sort><creationdate>20160301</creationdate><title>Harnessing next-generation informatics for personalizing medicine: a report from AMIA’s 2014 Health Policy Invitational Meeting</title><author>Wiley, Laura K ; Tarczy-Hornoch, Peter ; Denny, Joshua C ; Freimuth, Robert R ; Overby, Casey L ; Shah, Nigam ; Martin, Ross D ; Sarkar, Indra Neil</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c416t-17d9f37b47b8e7053980a430c55f290d484d46296624be10c4e1172b889ed4a33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>AMIA Report</topic><topic>Health Policy</topic><topic>Humans</topic><topic>Medical Informatics</topic><topic>Precision Medicine</topic><topic>Societies, Medical</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wiley, Laura K</creatorcontrib><creatorcontrib>Tarczy-Hornoch, Peter</creatorcontrib><creatorcontrib>Denny, Joshua C</creatorcontrib><creatorcontrib>Freimuth, Robert R</creatorcontrib><creatorcontrib>Overby, Casey L</creatorcontrib><creatorcontrib>Shah, Nigam</creatorcontrib><creatorcontrib>Martin, Ross D</creatorcontrib><creatorcontrib>Sarkar, Indra Neil</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>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>Wiley, Laura K</au><au>Tarczy-Hornoch, Peter</au><au>Denny, Joshua C</au><au>Freimuth, Robert R</au><au>Overby, Casey L</au><au>Shah, Nigam</au><au>Martin, Ross D</au><au>Sarkar, Indra Neil</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Harnessing next-generation informatics for personalizing medicine: a report from AMIA’s 2014 Health Policy Invitational Meeting</atitle><jtitle>Journal of the American Medical Informatics Association : JAMIA</jtitle><addtitle>J Am Med Inform Assoc</addtitle><date>2016-03-01</date><risdate>2016</risdate><volume>23</volume><issue>2</issue><spage>413</spage><epage>419</epage><pages>413-419</pages><issn>1067-5027</issn><issn>1527-974X</issn><eissn>1527-974X</eissn><abstract>The American Medical Informatics Association convened the 2014 Health Policy Invitational Meeting to develop recommendations for updates to current policies and to establish an informatics research agenda for personalizing medicine. In particular, the meeting focused on discussing informatics challenges related to personalizing care through the integration of genomic or other high-volume biomolecular data with data from clinical systems to make health care more efficient and effective. This report summarizes the findings (n = 6) and recommendations (n = 15) from the policy meeting, which were clustered into 3 broad areas: (1) policies governing data access for research and personalization of care; (2) policy and research needs for evolving data interpretation and knowledge representation; and (3) policy and research needs to ensure data integrity and preservation. The meeting outcome underscored the need to address a number of important policy and technical considerations in order to realize the potential of personalized or precision medicine in actual clinical contexts.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>26911808</pmid><doi>10.1093/jamia/ocv111</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1067-5027 |
ispartof | Journal of the American Medical Informatics Association : JAMIA, 2016-03, Vol.23 (2), p.413-419 |
issn | 1067-5027 1527-974X 1527-974X |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6457095 |
source | MEDLINE; Oxford University Press Journals All Titles (1996-Current); EZB-FREE-00999 freely available EZB journals; PubMed Central |
subjects | AMIA Report Health Policy Humans Medical Informatics Precision Medicine Societies, Medical United States |
title | Harnessing next-generation informatics for personalizing medicine: a report from AMIA’s 2014 Health Policy Invitational Meeting |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T16%3A41%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Harnessing%20next-generation%20informatics%20for%20personalizing%20medicine:%20a%20report%20from%20AMIA%E2%80%99s%202014%20Health%20Policy%20Invitational%20Meeting&rft.jtitle=Journal%20of%20the%20American%20Medical%20Informatics%20Association%20:%20JAMIA&rft.au=Wiley,%20Laura%20K&rft.date=2016-03-01&rft.volume=23&rft.issue=2&rft.spage=413&rft.epage=419&rft.pages=413-419&rft.issn=1067-5027&rft.eissn=1527-974X&rft_id=info:doi/10.1093/jamia/ocv111&rft_dat=%3Cproquest_pubme%3E1772836888%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1772836888&rft_id=info:pmid/26911808&rft_oup_id=10.1093/jamia/ocv111&rfr_iscdi=true |