SynthesisPloS one2022
Towards effective clinical decision support systems: A systematic review.
Synthesis in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 4 of them syntheses 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
41 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Digital patient safety interventions in primary care: a systematic review and meta-analysis.BMC medicine · 2026Pooled it
- Pooled it
- Current state of AI for shockwave lithotripsy: a systematic review from YAU and EAU endourology.World journal of urology · 2025Pooled it
- Psychological Factors That Contribute to the Use of Video Consultations in Health Care: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Article
- Leakage-Controlled and Survey-Weighted Machine Learning for Neonatal Mortality Risk Prediction Using NFHS-5 Data.Healthcare (Basel, Switzerland) · 2026Article
- Development of a Machine Learning-Based Triage Score for Medication-Related Osteonecrosis of the Jaw in Osteoporosis Patients Undergoing Tooth Extraction.Diagnostics (Basel, Switzerland) · 2026Article
- A Systematic Review of Factors Affecting Utilization of Decision Support Systems: The Interplay Between Technology, Users, and the Healthcare Environment.Health science reports · 2026Review
- Development and implementation of a computerised clinical decision support system for hospital-in-the-home patient identification.Internal medicine journal · 2026Article
- Integrating Gait Analysis and AI Into Knee Osteoarthritis Care: Protocol for a 3-Phase Participatory Qualitative Study.JMIR research protocols · 2026Article
- Medical software for precision diagnostics of infection with immunoprofiling and artificial intelligence.Journal of translational medicine · 2026Review
- Developing Clinical Decision (Support) Systems Combining the Scientific and Regulatory Perspective: European Insights on Challenges, Requirements, and Practical Guidance.JMIR medical informatics · 2026Article
- Assessing Health Care Professionals' Perceptions of a New System in Clinical Workflows: Systems Engineering Initiative for Patient Safety-Based Consensual Qualitative Research.Journal of medical Internet research · 2026Article
- How Implementation Context Shapes Clinician Acceptance and Engagement with Guideline-Based Clinical Decision Support Systems in Primary Care: A Qualitative Study.Journal of healthcare leadership · 2026Article
- Advancing the adoption of oncology decision support tools in Europe: insights from CAN.HEAL.Frontiers in digital health · 2026Article
- Intravenous fluid mismanagement: time for national stewardship and quality improvement.BMJ open quality · 2025Article
- Surgeon-Informed Clinical Decision Support Software for Surgical Risk Prediction and Outcomes Tracking.The Journal of surgical research · 2025Article
- Improving Large Language Model Applications in the Medical and Nursing Domains With Retrieval-Augmented Generation: Scoping Review.Journal of medical Internet research · 2025Article
- The Guideline Uptake in Digital Ecosystems (GUIDE) study: protocol for implementation research on the impact of WHO SMART guidelines digital adaptation kits to improve quality of care.Health research policy and systems · 2025Article
- Clinical Decision Support Systems Using Home Blood Pressure Readings to Manage Patients With Hypertension: Scoping Review.Journal of medical Internet 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
backgroundClinical Decision Support Systems (CDSS) are used to assist the decision-making process in the healthcare field. Developing an effective CDSS is an arduous task that can take advantage from prior assessment of the most promising theories, techniques and methods used at the present time.
objectiveTo identify the features of Clinical Decision Support Systems and provide an analysis of their effectiveness. Thus, two research questions were formulated: RQ1-What are the most common trend characteristics in a CDSS? RQ2-What is the maturity level of the CDSS based on the decision-making theory proposed by Simon?
methodsAIS e-library, Decision Support Systems journal, Nature, PlosOne and PubMed were selected as information sources to conduct this systematic literature review. Studies from 2000 to 2020 were chosen covering search terms in CDSS, selected according to defined eligibility criteria. The data were extracted and managed in a worksheet, based on the defined criteria. PRISMA statements were used to report the systematic review.
resultsThe outcomes showed that rule-based module was the most used approach regarding knowledge management and representation. The most common technological feature adopted by the CDSS were the recommendations and suggestions. 19,23% of studies adopt the type of system as a web-based application, and 51,92% are standalone CDSS. Temporal evolution was also possible to visualize. This study contributed to the development of a Maturity Staging Model, where it was possible to verify that most CDSS do not exceed level 2 of maturity.
conclusionThe trend characteristics addressed in the revised CDSS were identified, compared to the four predefined groups. A maturity stage model was developed based on Simon's decision-making theory, allowing to assess the level of maturity of the most common features of the CDSS. With the application of the model, it was noticed that the phases of choice and implementation are underrepresented. This constitutes the main gap in the development of an effective CDSS.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.