Trial reportImplementation science : IS2016
Implementing an evidence-based computerized decision support system to improve patient care in a general hospital: the CODES study protocol for a randomized controlled trial.
Trial report in Implementation science : IS, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02577198 (Implementing an Evidence-based Computerized Decision Support System Linked to Electronic Health Records to Improve Patient Care in a General Hospital), which is not on this map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Implementing an Evidence-based Computerized Decision Support System Linked to Electronic Health Records to Improve Patient Care in a General Hospital
Who cites it
11 citing papers in PubMed.
- Effectiveness of a Hospital-Based Computerized Decision Support System on Clinician Recommendations and Patient Outcomes: A Randomized Clinical Trial.JAMA network open · 2019Trial
- Learning From the Adoption of a Readmission Clinical Decision Support Tool: Group Model Building Approach.JMIR human factors · 2026Article
- Feasibility study of a clinical decision support system for polymedicated patients in primary care.Healthcare technology letters · 2023Review
- Article
- Electronic Advisories Increase Naloxone Prescribing Across Health Care Settings.Journal of general internal medicine · 2023Article
- Implementation of Electronic Decision Support for Diabetic Care in a Student-Run Clinic.Cureus · 2020Article
- Assessment of the quality of a software application for the prevention of skin lesions in newborns.Revista latino-americana de enfermagem · 2020Article
- A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual.Expert systems with applications · 2019Article
- Decision Support for Diabetes in Scotland: Implementation and Evaluation of a Clinical Decision Support System.Journal of diabetes science and technology · 2018Article
- What hinders the uptake of computerized decision support systems in hospitals? A qualitative study and framework for implementation.Implementation science : IS · 2017Article
- Implementing an evidence-based computerized decision support system linked to electronic health records to improve care for cancer patients: the ONCO-CODES study protocol for a randomized controlled trial.Implementation science : IS · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundComputerized 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/
designWe 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).
trial registrationClinicalTrials.gov, https://clinicaltrials.gov/ct2/show/NCT02577198?term=NCT02577198&rank=1.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.