Structuring clinical practice guidelines in a relational database model for decision support on the Internet
The rapid proliferation of clinical practice guidelines (CPGs) has made computerization increasingly useful to clinicians. Computerization, however, requires transformation of the content and logic of each guideline into a computer-accessible form. In this project, we sought to use a relational data...
Gespeichert in:
Veröffentlicht in: | Proceedings - AMIA Annual Fall Symposium 1997, p.158-162 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 162 |
---|---|
container_issue | |
container_start_page | 158 |
container_title | Proceedings - AMIA Annual Fall Symposium |
container_volume | |
creator | Lobach, D F Gadd, C S Hales, J W |
description | The rapid proliferation of clinical practice guidelines (CPGs) has made computerization increasingly useful to clinicians. Computerization, however, requires transformation of the content and logic of each guideline into a computer-accessible form. In this project, we sought to use a relational database to construct a generalized guideline knowledge base for use with Internet-based decision support applications. We hypothesized that knowledge representation schemes could be developed to capture guideline content and logic within the constraints of a relational database model. In this paper we describe a database schema based on a relational model for computerizing CPGs using a hybrid of structured and procedural knowledge representation schemes. We developed and refined this model in the context of five diverse CPGs and found it accommodated all necessary representational requirements. |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2233577</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>79390632</sourcerecordid><originalsourceid>FETCH-LOGICAL-p329t-5b5b160bdd0df454c05c950128bf644504be9389d070f1a4a12766a8e52fdd513</originalsourceid><addsrcrecordid>eNpVkEtLxDAUhbtQxnH0JwhZuSvk0aTNRpDBx4DgQl2XNLmdiaRJTVLBf2_AQXR1D_d8nAPnpFoTLEnd0Q6fVecpvWMsCCZiVa0k463A3bpyLzkuOi_R-j3SznqrlUNzVDpbDWi_WAPlCwlZjxSK4FS2wRfGqKwGlQBNoSBoDBEZ0DYVF6VlnkPMqMh8ALTzGaKHfFGdjsoluDzeTfV2f_e6fayfnh9229unemZU5poPfCACD8ZgMza80ZhryTGh3TCKpuG4GUCyThrc4pGoRhHaCqE64HQ0hhO2qW5-cudlmMBo8Dkq18_RTip-9UHZ_r_j7aHfh8-eUlaGaUvA9TEgho8FUu4nmzQ4pzyEJfWtZBILRgt49bfpt-K4L_sGIiR5Cg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>79390632</pqid></control><display><type>article</type><title>Structuring clinical practice guidelines in a relational database model for decision support on the Internet</title><source>MEDLINE</source><source>PubMed Central</source><creator>Lobach, D F ; Gadd, C S ; Hales, J W</creator><creatorcontrib>Lobach, D F ; Gadd, C S ; Hales, J W</creatorcontrib><description>The rapid proliferation of clinical practice guidelines (CPGs) has made computerization increasingly useful to clinicians. Computerization, however, requires transformation of the content and logic of each guideline into a computer-accessible form. In this project, we sought to use a relational database to construct a generalized guideline knowledge base for use with Internet-based decision support applications. We hypothesized that knowledge representation schemes could be developed to capture guideline content and logic within the constraints of a relational database model. In this paper we describe a database schema based on a relational model for computerizing CPGs using a hybrid of structured and procedural knowledge representation schemes. We developed and refined this model in the context of five diverse CPGs and found it accommodated all necessary representational requirements.</description><identifier>ISSN: 1091-8280</identifier><identifier>PMID: 9357608</identifier><language>eng</language><publisher>United States: American Medical Informatics Association</publisher><subject>Algorithms ; Artificial Intelligence ; Computer Communication Networks ; Databases as Topic ; Decision Support Systems, Clinical ; Decision Support Techniques ; Practice Guidelines as Topic</subject><ispartof>Proceedings - AMIA Annual Fall Symposium, 1997, p.158-162</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2233577/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2233577/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,725,778,782,883,4012,53778,53780</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/9357608$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lobach, D F</creatorcontrib><creatorcontrib>Gadd, C S</creatorcontrib><creatorcontrib>Hales, J W</creatorcontrib><title>Structuring clinical practice guidelines in a relational database model for decision support on the Internet</title><title>Proceedings - AMIA Annual Fall Symposium</title><addtitle>Proc AMIA Annu Fall Symp</addtitle><description>The rapid proliferation of clinical practice guidelines (CPGs) has made computerization increasingly useful to clinicians. Computerization, however, requires transformation of the content and logic of each guideline into a computer-accessible form. In this project, we sought to use a relational database to construct a generalized guideline knowledge base for use with Internet-based decision support applications. We hypothesized that knowledge representation schemes could be developed to capture guideline content and logic within the constraints of a relational database model. In this paper we describe a database schema based on a relational model for computerizing CPGs using a hybrid of structured and procedural knowledge representation schemes. We developed and refined this model in the context of five diverse CPGs and found it accommodated all necessary representational requirements.</description><subject>Algorithms</subject><subject>Artificial Intelligence</subject><subject>Computer Communication Networks</subject><subject>Databases as Topic</subject><subject>Decision Support Systems, Clinical</subject><subject>Decision Support Techniques</subject><subject>Practice Guidelines as Topic</subject><issn>1091-8280</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1997</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkEtLxDAUhbtQxnH0JwhZuSvk0aTNRpDBx4DgQl2XNLmdiaRJTVLBf2_AQXR1D_d8nAPnpFoTLEnd0Q6fVecpvWMsCCZiVa0k463A3bpyLzkuOi_R-j3SznqrlUNzVDpbDWi_WAPlCwlZjxSK4FS2wRfGqKwGlQBNoSBoDBEZ0DYVF6VlnkPMqMh8ALTzGaKHfFGdjsoluDzeTfV2f_e6fayfnh9229unemZU5poPfCACD8ZgMza80ZhryTGh3TCKpuG4GUCyThrc4pGoRhHaCqE64HQ0hhO2qW5-cudlmMBo8Dkq18_RTip-9UHZ_r_j7aHfh8-eUlaGaUvA9TEgho8FUu4nmzQ4pzyEJfWtZBILRgt49bfpt-K4L_sGIiR5Cg</recordid><startdate>1997</startdate><enddate>1997</enddate><creator>Lobach, D F</creator><creator>Gadd, C S</creator><creator>Hales, J W</creator><general>American Medical Informatics Association</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>1997</creationdate><title>Structuring clinical practice guidelines in a relational database model for decision support on the Internet</title><author>Lobach, D F ; Gadd, C S ; Hales, J W</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p329t-5b5b160bdd0df454c05c950128bf644504be9389d070f1a4a12766a8e52fdd513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Algorithms</topic><topic>Artificial Intelligence</topic><topic>Computer Communication Networks</topic><topic>Databases as Topic</topic><topic>Decision Support Systems, Clinical</topic><topic>Decision Support Techniques</topic><topic>Practice Guidelines as Topic</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lobach, D F</creatorcontrib><creatorcontrib>Gadd, C S</creatorcontrib><creatorcontrib>Hales, J W</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Proceedings - AMIA Annual Fall Symposium</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lobach, D F</au><au>Gadd, C S</au><au>Hales, J W</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Structuring clinical practice guidelines in a relational database model for decision support on the Internet</atitle><jtitle>Proceedings - AMIA Annual Fall Symposium</jtitle><addtitle>Proc AMIA Annu Fall Symp</addtitle><date>1997</date><risdate>1997</risdate><spage>158</spage><epage>162</epage><pages>158-162</pages><issn>1091-8280</issn><abstract>The rapid proliferation of clinical practice guidelines (CPGs) has made computerization increasingly useful to clinicians. Computerization, however, requires transformation of the content and logic of each guideline into a computer-accessible form. In this project, we sought to use a relational database to construct a generalized guideline knowledge base for use with Internet-based decision support applications. We hypothesized that knowledge representation schemes could be developed to capture guideline content and logic within the constraints of a relational database model. In this paper we describe a database schema based on a relational model for computerizing CPGs using a hybrid of structured and procedural knowledge representation schemes. We developed and refined this model in the context of five diverse CPGs and found it accommodated all necessary representational requirements.</abstract><cop>United States</cop><pub>American Medical Informatics Association</pub><pmid>9357608</pmid><tpages>5</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1091-8280 |
ispartof | Proceedings - AMIA Annual Fall Symposium, 1997, p.158-162 |
issn | 1091-8280 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2233577 |
source | MEDLINE; PubMed Central |
subjects | Algorithms Artificial Intelligence Computer Communication Networks Databases as Topic Decision Support Systems, Clinical Decision Support Techniques Practice Guidelines as Topic |
title | Structuring clinical practice guidelines in a relational database model for decision support on the Internet |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T16%3A12%3A20IST&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=Structuring%20clinical%20practice%20guidelines%20in%20a%20relational%20database%20model%20for%20decision%20support%20on%20the%20Internet&rft.jtitle=Proceedings%20-%20AMIA%20Annual%20Fall%20Symposium&rft.au=Lobach,%20D%20F&rft.date=1997&rft.spage=158&rft.epage=162&rft.pages=158-162&rft.issn=1091-8280&rft_id=info:doi/&rft_dat=%3Cproquest_pubme%3E79390632%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=79390632&rft_id=info:pmid/9357608&rfr_iscdi=true |