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dc.contributor.authorLorenzo, Moja-
dc.contributor.authorFriz, Hernan Polo-
dc.contributor.authorCapobussi, Matteo-
dc.contributor.authorKwag, Koren-
dc.contributor.authorBanzi, Rita-
dc.contributor.authorRuggiero, Francesca-
dc.contributor.authorGonzález-Lorenzo, Marien-
dc.contributor.authorLiberati, Elisa Giulia-
dc.contributor.authorMangia, Massimo-
dc.contributor.authorNyberg, Peter-
dc.contributor.authorKunnamo, Ilkka-
dc.contributor.authorCimminiello, Claudio-
dc.contributor.authorVighi, Giuseppe-
dc.contributor.authorGrimshaw, Jeremy-
dc.contributor.authorBonovas, Stefanos-
dc.identifier.citationImplementation Science, 2016, 11:89en
dc.description.abstractBackground: Computerized decision support systems (CDSSs) are information technology-based software that provide health professionals with actionable, patient-specific recommendations or guidelines for disease diagnosis, treatment, and management at the point-of-care. These messages are intelligently filtered to enhance the health and clinical care of patients. CDSSs may be integrated with patient electronic health records (EHRs) and evidence-based knowledge. Methods/design: We designed a pragmatic randomized controlled trial to evaluate the effectiveness of patient-specific, evidence-based reminders generated at the point-of-care by a multi-specialty decision support system on clinical practice and the quality of care. We will include all the patients admitted to the internal medicine department of one large general hospital. The primary outcome is the rate at which medical problems, which are detected by the decision support software and reported through the reminders, are resolved (i.e., resolution rates). Secondary outcomes are resolution rates for reminders specific to venous thromboembolism (VTE) prevention, in-hospital all causes and VTE-related mortality, and the length of hospital stay during the study period. Discussion: The adoption of CDSSs is likely to increase across healthcare systems due to growing concerns about the quality of medical care and discrepancy between real and ideal practice, continuous demands for a meaningful use of health information technology, and the increasing use of and familiarity with advanced technology among new generations of physicians. The results of our study will contribute to the current understanding of the effectiveness of CDSSs in primary care and hospital settings, thereby informing future research and healthcare policy questions related to the feasibility and value of CDSS use in healthcare systems. This trial is seconded by a specialty trial randomizing patients in an oncology setting (ONCO-CODES).en
dc.rightsCopyright © 2016 Moja et al. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.en
dc.subjectComputerized decision support systemsen
dc.subjectElectronic health recordsen
dc.subjectEvidence-based medicineen
dc.subjectPragmatic trialen
dc.subjectRandomized controlled trialen
dc.subjectReminder systemsen
dc.titleImplementing an evidence-based computerized decision support system to improve patient care in a general hospital: the CODES study protocol for a randomized controlled trialen
dc.typeJournal Articleen
dc.description.versionPublisher Versionen
pubs.organisational-group/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGY/School of Medicineen
pubs.organisational-group/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGY/School of Medicine/Department of Health Sciencesen
Appears in Collections:Published Articles, Dept. of Health Sciences

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