ChatGPT as a clinical support tool: A comprehensive review of applications, assessment, and implementation challenges.
This systematic review synthesizes evidence from 296 core Web of Science publications to evaluate ChatGPT's utility across modern medicine through a three-tiered framework: (1) Data Management (e.g., automating medical information extraction, enhancing electronic health record (EHR) integration, and...
| Publicado en: | Physiotherapy Practice & Research Vol. 47; no. 1; pp. 160 - 173 |
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| Autores principales: | , |
| Formato: | pictorial research systematic review tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Feb2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=191375981&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 191375981 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 22130683 FTHV jtl: Physiotherapy Practice & Research issn: 22130683 maglogo: N pubinfo: dt: Feb2026 vid: 47 iid: 1 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 191375981 188043263 191375981 191375981 10.1177/22130683251379638 191375981 ppf: 160 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: ChatGPT as a clinical support tool: A comprehensive review of applications, assessment, and implementation challenges. aug: au: Liu, Yuanyuan Zhang, Yu affil: School of Foreign Studies, China University of Petroleum (East China), Qingdao, China sug: subj: Chatbot Decision Support Systems, Clinical Bibliometrics Human Systematic Review Funding Source China Electronic Health Records Thematic Analysis Physical Therapy Patient Education Drug Development Natural Language Processing Data Analysis Software Descriptive Statistics Collaboration Accountability ab: This systematic review synthesizes evidence from 296 core Web of Science publications to evaluate ChatGPT's utility across modern medicine through a three-tiered framework: (1) Data Management (e.g., automating medical information extraction, enhancing electronic health record (EHR) integration, and optimizing clinical documentation workflows), (2) Clinical Decision Support (demonstrating capability in diagnostic accuracy and effective treatment), and (3) Therapeutic Support & Patient Services (facilitating personalized patient education via multilingual interaction and accelerating drug discovery). Additionally, dialogue-based AI frameworks, which prioritize communication efficacy over diagnostic performance, show particular promise in physiotherapy contexts. While ChatGPT demonstrates potential in enhancing operational efficiency, diagnostic speed, and personalizing patient management, key challenges still persist: data inaccuracies (e.g., hallucinated references), algorithmic biases (e.g., gender or racial disparities in treatment suggestions), insufficient clinical validation (overreliance on pattern recognition without physiological causality), communication barriers (misinterpretation of nuanced symptoms), ethical risks (privacy breaches in unsecured deployments) and other related issues. Successful implementation requires prioritizing five critical research avenues: (1) enhancing multimodal data analysis with diverse, domain-specific training datasets; (2) advancing explainable AI (XAI) techniques to improve algorithmic transparency/ clinician trust; (3) conducting multi-specialty validation through randomized controlled trials (RCTs) assessing safety and cost-effectiveness in real-world settings; (4) establishing adaptive ethical frameworks balancing innovation with patient rights, fairness, and harm prevention; (5) optimizing Traditional Chinese Medicine (TCM) applications via syndrome differentiation for complex comorbidities. pubtype: Academic Journal doctype: pictorial research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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