Design of an Integrated Clinical Research Informatics System for a Multi-Centre and Multi-Visit Prospective Birth Cohort Study

dc.contributor.authorSinitkul R.
dc.contributor.authorMaude R.J.
dc.contributor.authorNithirochananont U.
dc.contributor.otherMahidol University
dc.date.accessioned2023-06-18T17:11:23Z
dc.date.available2023-06-18T17:11:23Z
dc.date.issued2022-06-06
dc.description.abstractTo conduct a multi-center prospective study over more than one year requires an efficient system that can synchronize collection of data from several sources in real-time and facilitate remote data management. This paper describes the design and use of an in-house data collection and sample information management system that was used in a prospective birth cohort study in Thailand. Participants were enrolled from three hospitals and were required to visit their respective hospital and complete self-administered questionnaires (SAQ) at every visit. The in-house informatics system required integration of the data collection streams that can handle three different types of data (SAQ, clinical record, and laboratory sample tracking). The system has been implemented in the pilot phase of a birth cohort study and has demonstrated its usability for further application to an expanded study.
dc.identifier.citationStudies in Health Technology and Informatics Vol.290 (2022) , 125-129
dc.identifier.doi10.3233/SHTI220045
dc.identifier.eissn18798365
dc.identifier.issn09269630
dc.identifier.pmid35672984
dc.identifier.scopus2-s2.0-85131474425
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/84592
dc.rights.holderSCOPUS
dc.subjectEngineering
dc.titleDesign of an Integrated Clinical Research Informatics System for a Multi-Centre and Multi-Visit Prospective Birth Cohort Study
dc.typeConference Paper
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85131474425&origin=inward
oaire.citation.endPage129
oaire.citation.startPage125
oaire.citation.titleStudies in Health Technology and Informatics
oaire.citation.volume290
oairecerif.author.affiliationFaculty of Tropical Medicine, Mahidol University
oairecerif.author.affiliationPublic Health England
oairecerif.author.affiliationGeo-Informatics and Space Technology Development Agency
oairecerif.author.affiliationHarvard T.H. Chan School of Public Health
oairecerif.author.affiliationFaculty of Medicine Ramathibodi Hospital, Mahidol University
oairecerif.author.affiliationNuffield Department of Medicine

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