PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 12, 2026Oxford Open Digital Health2 citations

Healthcare Professionals’ Perspectives on Artificial Intelligence in Clinical Practice: A Systematic Review of Facilitators and Challenges

View Full Paper
GPGowtham PallamalaJJJudy JenkinsPSP K Sherin

Key Points

  • This research aims to explore healthcare professionals' perspectives on the use of artificial intelligence tools in clinical practice, identifying facilitators and challenges.
  • Conducted a systematic review of qualitative studies from PubMed, EBSCOhost, and ACM Digital Library.
  • Applied inclusion and exclusion criteria for selecting relevant articles.
  • Utilized the CASP tool for assessing study quality and extracting data.
  • Included 10 qualitative studies from an initial 1292 articles.
  • Identified six themes: behaviour, perceived usefulness, performance expectancy, ethical and legal aspects, challenges, and AI tool proficiency.
  • Found that while healthcare professionals recognize the benefits of AI, they often lack the necessary skills for effective use.

Abstract

Summary Background Artificial intelligence tools enhance health care by decision making, reducing errors and delivering the best care to patients. Healthcare professionals are the users of the AI tools, and it is essential to have knowledge and skills in the utilisation of AI tools to deliver effective care. Therefore, this study systematically explores the healthcare professional perspectives in using Artificial Intelligence tools in clinical practice and identifies facilitators, challenges associated with their usage. Methods Three databases, PubMed, EBSCOhost, and ACM Digital Library, are systematically used to identify qualitative research studies. Appropriate selection of research articles is carried out by the inclusion and exclusion criteria. The Critical Appraisal Studies Programme (CASP) tool is utilised for assessment. Data is extracted and analysed effectively. Findings Out of 1292 articles,10 qualitative research studies which meet the objectives of the research are included. By analysing the information, six themes developed are behaviour, perceived usefulness, performance expectancy, ethical and legal aspects, challenges and AI tool proficiency. Interpretation Healthcare professionals acknowledge the value of artificial intelligence tools in clinical practice; however, clinicians often lack the necessary competencies for their effective deployment. It is therefore imperative that healthcare practitioners collaborate with developers during the design phase of AI systems, ensuring due consideration of ethical and legal requirements. While AI technologies offer numerous advantages, prioritising transparency and explainability is essential to optimise their integration within clinical workflows. Ongoing proficiency with AI tools may be sustained through structured training programmes and the establishment of clear operational guidelines. STUDY FUNDING and APC FUNDING This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Pallamala et al. (2026) studied this question.

synapsesocial.com/papers/698d6dae5be6419ac0d52d3bhttps://doi.org/10.1093/oodh/oqag004
Ask AI
Helpful
Bookmark
Share
View Full Paper