Assessing an Electronic Health Record research platform for identification of clinical trial participants
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. Pati...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-03-01
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| Series: | Contemporary Clinical Trials Communications |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2451865420301769 |
| _version_ | 1818724407729717248 |
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| author | Niina Laaksonen Juha-Matti Varjonen Minna Blomster Antti Palomäki Tuija Vasankari Juhani Airaksinen Risto Huupponen Mika Scheinin Juuso Blomster |
| author_facet | Niina Laaksonen Juha-Matti Varjonen Minna Blomster Antti Palomäki Tuija Vasankari Juhani Airaksinen Risto Huupponen Mika Scheinin Juuso Blomster |
| author_sort | Niina Laaksonen |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-17T21:25:56Z |
| format | Article |
| id | doaj.art-4fb7c686a9394a0d8ed5bfb8a37a1e0a |
| institution | Directory Open Access Journal |
| issn | 2451-8654 |
| language | English |
| last_indexed | 2024-12-17T21:25:56Z |
| publishDate | 2021-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Contemporary Clinical Trials Communications |
| spelling | doaj.art-4fb7c686a9394a0d8ed5bfb8a37a1e0a2022-12-21T21:32:02ZengElsevierContemporary Clinical Trials Communications2451-86542021-03-0121100692Assessing an Electronic Health Record research platform for identification of clinical trial participantsNiina Laaksonen0Juha-Matti Varjonen1Minna Blomster2Antti Palomäki3Tuija Vasankari4Juhani Airaksinen5Risto Huupponen6Mika Scheinin7 Juuso Blomster8Institute of Biomedicine, University of Turku, Kiinamyllynkatu 10, FI-20520, Turku, Finland; Corresponding author. Institute of Biomedicine, University of Turku, Kiinamyllynkatu 10, FI-20520, Turku, Finland.Auria Clinical Informatics, Hospital District of Southwest Finland, PO Box 52, FI-20521, Turku, FinlandAuria Clinical Informatics, Hospital District of Southwest Finland, PO Box 52, FI-20521, Turku, FinlandHeart Centre, Turku University Hospital, PO Box 52, FI-2052, Turku, FinlandHeart Centre, Turku University Hospital, PO Box 52, FI-2052, Turku, FinlandHeart Centre, Turku University Hospital, PO Box 52, FI-2052, Turku, FinlandInstitute of Biomedicine, University of Turku, Kiinamyllynkatu 10, FI-20520, Turku, FinlandInstitute of Biomedicine, University of Turku, Kiinamyllynkatu 10, FI-20520, Turku, FinlandInstitute of Biomedicine, University of Turku, Kiinamyllynkatu 10, FI-20520, Turku, Finland; Heart Centre, Turku University Hospital, PO Box 52, FI-2052, Turku, FinlandElectronic 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.http://www.sciencedirect.com/science/article/pii/S2451865420301769Patient identificationPatient recruitmentClinical trialsElectronic health records |
| spellingShingle | Niina Laaksonen Juha-Matti Varjonen Minna Blomster Antti Palomäki Tuija Vasankari Juhani Airaksinen Risto Huupponen Mika Scheinin Juuso Blomster Assessing an Electronic Health Record research platform for identification of clinical trial participants Contemporary Clinical Trials Communications Patient identification Patient recruitment Clinical trials Electronic health records |
| title | Assessing an Electronic Health Record research platform for identification of clinical trial participants |
| title_full | Assessing an Electronic Health Record research platform for identification of clinical trial participants |
| title_fullStr | Assessing an Electronic Health Record research platform for identification of clinical trial participants |
| title_full_unstemmed | Assessing an Electronic Health Record research platform for identification of clinical trial participants |
| title_short | Assessing an Electronic Health Record research platform for identification of clinical trial participants |
| title_sort | assessing an electronic health record research platform for identification of clinical trial participants |
| topic | Patient identification Patient recruitment Clinical trials Electronic health records |
| url | http://www.sciencedirect.com/science/article/pii/S2451865420301769 |
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