Assessing an Electronic Health Record research platform for identification of clinical trial participants

dc.contributor.authorLaaksonen Niina
dc.contributor.authorVarjonen Juha-Matti
dc.contributor.authorBlomster Minna
dc.contributor.authorPalomäki Antti
dc.contributor.authorVasankari Tuija
dc.contributor.authorAiraksinen Juhani
dc.contributor.authorHuupponen Risto
dc.contributor.authorScheinin Mika
dc.contributor.authorBlomster Juuso
dc.contributor.organizationfi=biolääketieteen laitos|en=Institute of Biomedicine|
dc.contributor.organizationfi=lääketieteellinen tiedekunta|en=Faculty of Medicine|
dc.contributor.organizationfi=sisätautioppi|en=Internal Medicine|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organization-code1.2.246.10.2458963.20.13290506867
dc.contributor.organization-code1.2.246.10.2458963.20.40502528769
dc.contributor.organization-code1.2.246.10.2458963.20.77952289591
dc.contributor.organization-code2607100
dc.converis.publication-id51479993
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/51479993
dc.date.accessioned2022-10-27T11:51:55Z
dc.date.available2022-10-27T11:51:55Z
dc.description.abstract<p>Electronic health records (EHR) are a potential resource for identification of clinical trial participants. We evaluated how accurately a commercially available EHR Research Platform, InSite, is able to identify potential trial participants from the EHR system of a large tertiary care hospital. Patient counts were compared with results obtained in a conventional manual search performed for a reference study that investigated the associations of atrial fibrillation (AF) and cerebrovascular incidents. The Clinical Data Warehouse (CDW) of Turku University Hospital was used to verify the capabilities of the EHR Research Platform.</p><p>The EHR query resulted in a larger patient count than the manual query (EHR Research Platform 5859 patients, manual selection 2166 patients). This was due to the different search logic and some exclusion criteria that were not addressable in structured digital format. The EHR Research Platform (5859 patients) and the CDW search (5840 patients) employed the same search logic. The temporal relationship between the two diagnoses could be identified when they were available in structured format and the time difference was longer than a single hospital visit.<br /></p><p>Searching for patients with the EHR Research Platform can help to identify potential trial participants from a hospital's EHR system by limiting the number of records to be manually reviewed. EHR query tools can best be utilized in trials where the selection criteria are expressed in structured digital format.</p>
dc.identifier.eissn2451-8654
dc.identifier.jour-issn2451-8654
dc.identifier.olddbid172389
dc.identifier.oldhandle10024/155483
dc.identifier.urihttps://www.utupub.fi/handle/11111/30090
dc.identifier.urnURN:NBN:fi-fe2021042821416
dc.language.isoen
dc.okm.affiliatedauthorLaaksonen, Niina
dc.okm.affiliatedauthorPalomäki, Antti
dc.okm.affiliatedauthorAiraksinen, Juhani
dc.okm.affiliatedauthorHuupponen, Risto
dc.okm.affiliatedauthorScheinin, Mika
dc.okm.affiliatedauthorBlomster, Juuso
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline317 Pharmacyen_GB
dc.okm.discipline317 Farmasiafi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherElsevier Inc.
dc.publisher.countryUnited Statesen_GB
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.country-codeUS
dc.relation.articlenumber100692
dc.relation.doi10.1016/j.conctc.2020.100692
dc.relation.ispartofjournalContemporary Clinical Trials Communications
dc.relation.volume21
dc.source.identifierhttps://www.utupub.fi/handle/10024/155483
dc.titleAssessing an Electronic Health Record research platform for identification of clinical trial participants
dc.year.issued2021

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