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. 2020 Dec 18:21:100692.
doi: 10.1016/j.conctc.2020.100692. eCollection 2021 Mar.

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

Niina Laaksonen  1 , Juha-Matti Varjonen  2 , Minna Blomster  2 , Antti Palomäki  3 , Tuija Vasankari  3 , Juhani Airaksinen  3 , Risto Huupponen  1 , Mika Scheinin  1 , Juuso Blomster  1   3
Affiliations

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

Niina Laaksonen et al. Contemp Clin Trials Commun. .

Abstract

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. 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. 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.

Keywords: Clinical trials; Electronic health records; Patient identification; Patient recruitment.

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