ReviewKidney international reports2024
Clinical Decision Support Tools in the Electronic Medical Record.
Review in Kidney international reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
39 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evaluating the role of clinical decision support systems in medication safety for older people: a systematic review.Age and ageing · 2025Pooled it
- Trial
- Comparing Fourteen Behavioral Science Electronic Health Record Deprescribing Tools in Older Adults: NUDGE-EHR Adaptive Trial.Journal of the American Geriatrics Society · 2025Trial
- Pediatric clinician perspectives on clinical decision support tools for chronic kidney disease risk after preterm birth.Pediatric nephrology (Berlin, Germany) · 2026Article
- Neonatal Surveillance Gaps in Maternal Graves' Disease: Findings From a Queensland Maternity Hospital.The Australian & New Zealand journal of obstetrics & gynaecology · 2026Article
- Can routinely collected electronic medical record (EMR) data support hospital resource allocation? A retrospective analysis of 332,711 presentations to a public quaternary teaching hospital in South Australia (2020-2025).BMC health services research · 2026Article
- Emergency Department Clinician Preferences in the Management of New-Onset Atrial Fibrillation.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2026Article
- Conformal selective prediction with cost aware deferral for safe clinical triage under distribution shift.Scientific reports · 2026Article
- Analysis of Pediatric Cervical Spine Injury Evaluation Workflow in the Emergency Department.Journal of the American College of Emergency Physicians open · 2026Article
- Transformative global models for CKD care: case studies and strategies.Clinical kidney journal · 2026Review
- Dynamic Risk Prediction of Graft Failure after Deceased Donor Kidney Transplant.Clinical journal of the American Society of Nephrology : CJASN · 2026Article
- Chronic kidney disease screening to reduce cardiovascular risk: a call to action.American journal of preventive cardiology · 2026Article
- Machine learning for predicting emergency department visits in patients with type 2 diabetes: A real-world, multi-institutional study.PloS one · 2026Article
- Development and validation of a machine learning model for post-PCI exercise intolerance in patients with coronary artery disease via electronic medical records.Frontiers in public health · 2026Article
- Clinical Artificial Intelligence (AI) Liability in the MENA Region: a Comparative Analysis of Hospital, Physician, Suppliers, and Vendor Responsibility.Medical archives (Sarajevo, Bosnia and Herzegovina) · 2026Article
- Toward an integrated risk paradigm: personalizing antithrombotic therapy for coronary heart disease with gastrointestinal bleeding.Frontiers in cardiovascular medicine · 2026Article
- An evaluation of the clinician-facing research dashboards from the Toronto Adolescent and Youth (TAY) Cohort Study in mental health care.PLOS mental health · 2026Article
- Article
- Nomogram for predicting acute kidney injury after primary PCI in STEMI patients: development and validation study.Renal failure · 2025Article
- Surgeon-Informed Clinical Decision Support Software for Surgical Risk Prediction and Outcomes Tracking.The Journal of surgical research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The integration of clinical decision support (CDS) tools into electronic medical record (EMR) systems has become common. Although there are many benefits for both patients and providers from successful integration, barriers exist that prevent consistent and effective use of these tools. Such barriers include tool alert fatigue, lack of interoperability between tools and medical record systems, and poor acceptance of tools by care providers. However, successful integration of CDS tools into EMR systems have been reported; examples of these include the Statin Choice Decision Aid, and the Kidney Failure Risk Equation (KFRE). This article reviews the history of EMR systems and its integration with CDS tools, the barriers preventing successful integration, and the benefits reported from successful integration. This article also provides suggestions and strategies for improving successful integration, making these tools easier to use and more effective for care providers.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.