ArticleJournal of medical Internet research2024
Clinical Decision Support System Used in Spinal Disorders: Scoping Review.
Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Trial
- Patient-Reported and Technology-Assisted Monitoring in Orthotic Management of Adolescents With Idiopathic Scoliosis: Scoping Review.JMIR mHealth and uHealth · 2026Article
- Decision support in the management of musculoskeletal disorders: a qualitative study of physiotherapists' and patients' experiences.BMC musculoskeletal disorders · 2026Article
- Generalisable prediction models for outcomes after lumbar spinal stenosis surgery: a model development and external validation study.EClinicalMedicine · 2026Article
- Article
- [Artificial intelligence in spinal surgery: current applications and future perspectives].Orthopadie (Heidelberg, Germany) · 2026Review
- Development and usability testing of an integrated geriatric care model (SMART system) to promote integrated home-based geriatric care.BMC geriatrics · 2025Article
- MISDP: multi-task fusion visit interval for sequential diagnosis prediction.BMC bioinformatics · 2024Article
- Perspectives of Decision Support System TeleRehab in the Management of Post-Stroke Telerehabilitation.Life (Basel, Switzerland) · 2024Article
- The strategic use of Big Data - A study protocol for a multicenter clinical trial testing if the use of the Swespine Dialogue Support alter outcomes in degenerative spine surgery.BMC musculoskeletal disorders · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSpinal disorders are highly prevalent worldwide with high socioeconomic costs. This cost is associated with the demand for treatment and productivity loss, prompting the exploration of technologies to improve patient outcomes. Clinical decision support systems (CDSSs) are computerized systems that are increasingly used to facilitate safe and efficient health care. Their applications range in depth and can be found across health care specialties.
objectiveThis scoping review aims to explore the use of CDSSs in patients with spinal disorders.
methodsWe used the Joanna Briggs Institute methodological guidance for this scoping review and reported according to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) statement. Databases, including PubMed, Embase, Cochrane, CINAHL, Web of Science, Scopus, ProQuest, and PsycINFO, were searched from inception until October 11, 2022. The included studies examined the use of digitalized CDSSs in patients with spinal disorders.
resultsA total of 4 major CDSS functions were identified from 31 studies: preventing unnecessary imaging (n=8, 26%), aiding diagnosis (n=6, 19%), aiding prognosis (n=11, 35%), and recommending treatment options (n=6, 20%). Most studies used the knowledge-based system. Logistic regression was the most commonly used method, followed by decision tree algorithms. The use of CDSSs to aid in the management of spinal disorders was generally accepted over the threat to physicians' clinical decision-making autonomy.
conclusionsAlthough the effectiveness was frequently evaluated by examining the agreement between the decisions made by the CDSSs and the health care providers, comparing the CDSS recommendations with actual clinical outcomes would be preferable. In addition, future studies on CDSS development should focus on system integration, considering end user's needs and preferences, and external validation and impact studies to assess effectiveness and generalizability.
trial registrationOSF Registries osf.io/dyz3f; https://osf.io/dyz3f.
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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.