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Extension of the primary care research object model (PCROM) as clinical research information model (CRIM) for the "learning healthcare system"
Patient data from general practices is already used for many types of epidemiological research and increasingly, primary care systems to facilitate randomized clinical trials. The EU funded project TRANSFoRm aims to create a "Learning Healthcare System" at a European level that is able to...
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Published in: | BMC medical informatics and decision making 2014-12, Vol.14 (1), p.118-118, Article 118 |
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creator | Kuchinke, Wolfgang Karakoyun, Töresin Ohmann, Christian Arvanitis, Theodoros N Taweel, Adel Delaney, Brendan C Speedie, Stuart M |
description | Patient data from general practices is already used for many types of epidemiological research and increasingly, primary care systems to facilitate randomized clinical trials. The EU funded project TRANSFoRm aims to create a "Learning Healthcare System" at a European level that is able to support all types of research using primary care data, to recruit patients and follow patients in clinical studies and to improve diagnosis and therapy. The implementation of such a Learning Healthcare System needs an information model for clinical research (CRIM), as an informational backbone to integrate aspects of primary care with clinical trials and database searches.
Workflow descriptions and corresponding data objects of two clinical use cases (Gastro-Oesophageal Reflux Disease and Type 2 Diabetes) were described in UML activity diagrams. The components of activity diagrams were mapped to information objects of PCROM (Primary Care Research Object Model) and BRIDG (Biomedical Research Integrated Domain Group) and evaluated. The class diagram of PCROM was adapted to comply with workflow descriptions.
The suitability of PCROM, a primary care information model already used for clinical trials, to act as an information model for TRANSFoRm was evaluated and resulted in its extension with 14 new information object types, two extensions of existing objects and the introduction of two new high-ranking concepts (CARE area and ENTRY area). No PCROM component was redundant. Our result illustrates that in primary care based research an important but underestimated portion of research activity takes place in the area of care (e.g. patient consultation, screening, recruitment and response to adverse events). The newly introduced CARE area for care-related research activities accounts for this shift and includes Episode of Care and Encounter as two new basic elements. In the ENTRY area different aspects of data collection were combined, including data semantics for observations, assessment activities, intervention activities and patient reporting to enable case report form (CRF) based data collection combined with decision support.
Research with primary care data needs an extended information model that covers research activities at the care site which are characteristic for primary care based research and the requirements of the complicated data collection processes. |
doi_str_mv | 10.1186/s12911-014-0118-2 |
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Workflow descriptions and corresponding data objects of two clinical use cases (Gastro-Oesophageal Reflux Disease and Type 2 Diabetes) were described in UML activity diagrams. The components of activity diagrams were mapped to information objects of PCROM (Primary Care Research Object Model) and BRIDG (Biomedical Research Integrated Domain Group) and evaluated. The class diagram of PCROM was adapted to comply with workflow descriptions.
The suitability of PCROM, a primary care information model already used for clinical trials, to act as an information model for TRANSFoRm was evaluated and resulted in its extension with 14 new information object types, two extensions of existing objects and the introduction of two new high-ranking concepts (CARE area and ENTRY area). No PCROM component was redundant. Our result illustrates that in primary care based research an important but underestimated portion of research activity takes place in the area of care (e.g. patient consultation, screening, recruitment and response to adverse events). The newly introduced CARE area for care-related research activities accounts for this shift and includes Episode of Care and Encounter as two new basic elements. In the ENTRY area different aspects of data collection were combined, including data semantics for observations, assessment activities, intervention activities and patient reporting to enable case report form (CRF) based data collection combined with decision support.
Research with primary care data needs an extended information model that covers research activities at the care site which are characteristic for primary care based research and the requirements of the complicated data collection processes.</description><identifier>ISSN: 1472-6947</identifier><identifier>EISSN: 1472-6947</identifier><identifier>DOI: 10.1186/s12911-014-0118-2</identifier><identifier>PMID: 25519481</identifier><language>eng</language><publisher>England: BioMed Central</publisher><subject><![CDATA[Biomedical Research - methods ; Biomedical Research - organization & administration ; Biomedical Research - statistics & numerical data ; Case reports ; Clinical outcomes ; Clinical trials ; Data collection ; Data Collection - methods ; Data models ; Diabetes ; Diabetes Mellitus, Type 2 - diagnosis ; Diabetes Mellitus, Type 2 - therapy ; Electronic health records ; Electronic Health Records - statistics & numerical data ; Electronic Health Records - utilization ; Epidemiologic Research Design ; Europe ; European Union ; Gastroesophageal Reflux - diagnosis ; Gastroesophageal Reflux - therapy ; Health care policy ; Humans ; Interoperability ; Medical Record Linkage ; Models, Organizational ; Models, Theoretical ; Patient Selection ; Primary care ; Primary Health Care - methods ; Primary Health Care - organization & administration ; Primary Health Care - statistics & numerical data ; Questionnaires ; Randomized Controlled Trials as Topic - methods ; Randomized Controlled Trials as Topic - standards ; Randomized Controlled Trials as Topic - statistics & numerical data ; Semantics ; Software ; Workflow]]></subject><ispartof>BMC medical informatics and decision making, 2014-12, Vol.14 (1), p.118-118, Article 118</ispartof><rights>2014 Kuchinke et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.</rights><rights>Kuchinke et al.; licensee BioMed Central Ltd. 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b521t-edc399b1ad60dcf60f46f676903784213d3318f44e2ab68aae3169dcaa1f1a2e3</citedby><cites>FETCH-LOGICAL-b521t-edc399b1ad60dcf60f46f676903784213d3318f44e2ab68aae3169dcaa1f1a2e3</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/PMC4276023/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1640137609?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25519481$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kuchinke, Wolfgang</creatorcontrib><creatorcontrib>Karakoyun, Töresin</creatorcontrib><creatorcontrib>Ohmann, Christian</creatorcontrib><creatorcontrib>Arvanitis, Theodoros N</creatorcontrib><creatorcontrib>Taweel, Adel</creatorcontrib><creatorcontrib>Delaney, Brendan C</creatorcontrib><creatorcontrib>Speedie, Stuart M</creatorcontrib><title>Extension of the primary care research object model (PCROM) as clinical research information model (CRIM) for the "learning healthcare system"</title><title>BMC medical informatics and decision making</title><addtitle>BMC Med Inform Decis Mak</addtitle><description>Patient data from general practices is already used for many types of epidemiological research and increasingly, primary care systems to facilitate randomized clinical trials. The EU funded project TRANSFoRm aims to create a "Learning Healthcare System" at a European level that is able to support all types of research using primary care data, to recruit patients and follow patients in clinical studies and to improve diagnosis and therapy. The implementation of such a Learning Healthcare System needs an information model for clinical research (CRIM), as an informational backbone to integrate aspects of primary care with clinical trials and database searches.
Workflow descriptions and corresponding data objects of two clinical use cases (Gastro-Oesophageal Reflux Disease and Type 2 Diabetes) were described in UML activity diagrams. The components of activity diagrams were mapped to information objects of PCROM (Primary Care Research Object Model) and BRIDG (Biomedical Research Integrated Domain Group) and evaluated. The class diagram of PCROM was adapted to comply with workflow descriptions.
The suitability of PCROM, a primary care information model already used for clinical trials, to act as an information model for TRANSFoRm was evaluated and resulted in its extension with 14 new information object types, two extensions of existing objects and the introduction of two new high-ranking concepts (CARE area and ENTRY area). No PCROM component was redundant. Our result illustrates that in primary care based research an important but underestimated portion of research activity takes place in the area of care (e.g. patient consultation, screening, recruitment and response to adverse events). The newly introduced CARE area for care-related research activities accounts for this shift and includes Episode of Care and Encounter as two new basic elements. In the ENTRY area different aspects of data collection were combined, including data semantics for observations, assessment activities, intervention activities and patient reporting to enable case report form (CRF) based data collection combined with decision support.
Research with primary care data needs an extended information model that covers research activities at the care site which are characteristic for primary care based research and the requirements of the complicated data collection processes.</description><subject>Biomedical Research - methods</subject><subject>Biomedical Research - organization & administration</subject><subject>Biomedical Research - statistics & numerical data</subject><subject>Case reports</subject><subject>Clinical outcomes</subject><subject>Clinical trials</subject><subject>Data collection</subject><subject>Data Collection - methods</subject><subject>Data models</subject><subject>Diabetes</subject><subject>Diabetes Mellitus, Type 2 - diagnosis</subject><subject>Diabetes Mellitus, Type 2 - therapy</subject><subject>Electronic health records</subject><subject>Electronic Health Records - statistics & numerical data</subject><subject>Electronic Health Records - utilization</subject><subject>Epidemiologic Research Design</subject><subject>Europe</subject><subject>European Union</subject><subject>Gastroesophageal Reflux - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC medical informatics and decision making</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kuchinke, Wolfgang</au><au>Karakoyun, Töresin</au><au>Ohmann, Christian</au><au>Arvanitis, Theodoros N</au><au>Taweel, Adel</au><au>Delaney, Brendan C</au><au>Speedie, Stuart M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Extension of the primary care research object model (PCROM) as clinical research information model (CRIM) for the "learning healthcare system"</atitle><jtitle>BMC medical informatics and decision making</jtitle><addtitle>BMC Med Inform Decis Mak</addtitle><date>2014-12-18</date><risdate>2014</risdate><volume>14</volume><issue>1</issue><spage>118</spage><epage>118</epage><pages>118-118</pages><artnum>118</artnum><issn>1472-6947</issn><eissn>1472-6947</eissn><abstract>Patient data from general practices is already used for many types of epidemiological research and increasingly, primary care systems to facilitate randomized clinical trials. The EU funded project TRANSFoRm aims to create a "Learning Healthcare System" at a European level that is able to support all types of research using primary care data, to recruit patients and follow patients in clinical studies and to improve diagnosis and therapy. The implementation of such a Learning Healthcare System needs an information model for clinical research (CRIM), as an informational backbone to integrate aspects of primary care with clinical trials and database searches.
Workflow descriptions and corresponding data objects of two clinical use cases (Gastro-Oesophageal Reflux Disease and Type 2 Diabetes) were described in UML activity diagrams. The components of activity diagrams were mapped to information objects of PCROM (Primary Care Research Object Model) and BRIDG (Biomedical Research Integrated Domain Group) and evaluated. The class diagram of PCROM was adapted to comply with workflow descriptions.
The suitability of PCROM, a primary care information model already used for clinical trials, to act as an information model for TRANSFoRm was evaluated and resulted in its extension with 14 new information object types, two extensions of existing objects and the introduction of two new high-ranking concepts (CARE area and ENTRY area). No PCROM component was redundant. Our result illustrates that in primary care based research an important but underestimated portion of research activity takes place in the area of care (e.g. patient consultation, screening, recruitment and response to adverse events). The newly introduced CARE area for care-related research activities accounts for this shift and includes Episode of Care and Encounter as two new basic elements. In the ENTRY area different aspects of data collection were combined, including data semantics for observations, assessment activities, intervention activities and patient reporting to enable case report form (CRF) based data collection combined with decision support.
Research with primary care data needs an extended information model that covers research activities at the care site which are characteristic for primary care based research and the requirements of the complicated data collection processes.</abstract><cop>England</cop><pub>BioMed Central</pub><pmid>25519481</pmid><doi>10.1186/s12911-014-0118-2</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Biomedical Research - methods Biomedical Research - organization & administration Biomedical Research - statistics & numerical data Case reports Clinical outcomes Clinical trials Data collection Data Collection - methods Data models Diabetes Diabetes Mellitus, Type 2 - diagnosis Diabetes Mellitus, Type 2 - therapy Electronic health records Electronic Health Records - statistics & numerical data Electronic Health Records - utilization Epidemiologic Research Design Europe European Union Gastroesophageal Reflux - diagnosis Gastroesophageal Reflux - therapy Health care policy Humans Interoperability Medical Record Linkage Models, Organizational Models, Theoretical Patient Selection Primary care Primary Health Care - methods Primary Health Care - organization & administration Primary Health Care - statistics & numerical data Questionnaires Randomized Controlled Trials as Topic - methods Randomized Controlled Trials as Topic - standards Randomized Controlled Trials as Topic - statistics & numerical data Semantics Software Workflow |
title | Extension of the primary care research object model (PCROM) as clinical research information model (CRIM) for the "learning healthcare system" |
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