ReviewDigital health
Beliefs, experiences and concerns of using artificial intelligence in healthcare: A qualitative synthesis.
Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07074405 (Understanding the Acceptability of Artificial Intelligence as a Support for Healthcare Providers in the Diagnosis of Prostate Cancer - the Patient at the Heart of His Care), which is not on this map. Cited by 11 papers.
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.
Understanding the Acceptability of Artificial Intelligence as a Support for Healthcare Providers in the Diagnosis of Prostate Cancer - the Patient at the Heart of His Care
Who cites it
11 citing papers in PubMed, 15 citations in OpenAlex.
- Prior Knowledge Shaped Dutch Parents' Attitudes Towards the Use of Artificial Intelligence in Paediatrics.Acta paediatrica (Oslo, Norway : 1992) · 2026Trial
- The Mediating Role of Work Engagement Between Artificial Intelligence Anxiety and Task Performance Among Nurses: A Cross-Sectional Correlational Study.Healthcare (Basel, Switzerland) · 2026Article
- Article
- AI-Enhanced Qualitative Analysis in Healthcare: Unlocking Insight from Interviews of Leadership at Top-Performing Academic Medical Centers.Healthcare (Basel, Switzerland) · 2026Article
- Artificial Intelligence in Medicine: Barriers, Solutions, and Strategies.HCA healthcare journal of medicine · 2026Article
- Artificial intelligence in nursing practice: a qualitative study of nurses' perspectives on opportunities, challenges, and ethical implications.BMC nursing · 2025Article
- "I Believe That AI Will Recognize the Problem Before It Happens": Qualitative Study Exploring Young Adults' Perceptions of AI in Mental Health Care.JMIR mental health · 2025Article
- Application of artificial intelligence in nursing practice: a qualitative study of Jordanian nurses' perspectives.BMC nursing · 2025Article
- Between Surveillance and Support: A Qualitative Study of Tuberculosis Patients' Expectations and Concerns About AI-Assisted Remote Health Services in China.Patient preference and adherence · 2025Article
- Patient-Engaged AI: The Nursing Path to Health Equity.SAGE open nursingArticle
- A Pilot Study on Generative Artificial Intelligence's Reliability in Qualitative Research Quality Appraisal Using CASP and JBI Checklists.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Artificial intelligence (AI) is a developing field in the context of healthcare. As this technology continues to be implemented in patient care, there is a growing need to understand the thoughts and experiences of stakeholders in this area to ensure that future AI development and implementation is successful. The aim of this study was to conduct a literature search of qualitative studies exploring the opinions of stakeholders such as clinicians, patients, and technology experts in order to establish the most common themes and ideas that have been presented in this research. Methods: A literature search was conducted of existing qualitative research on stakeholder beliefs about the use of AI use in healthcare. Twenty-one papers were selected and analysed resulting in the development of four key themes relating to patient care, patient-doctor relationships, lack of education and resources, and the need for regulations. Results: Overall, patients and healthcare workers are open to the use of AI in care and appear positive about potential benefits. However, concerns were raised relating to the lack of empathy in interactions of AI tools, and potential risks that may arise from the data collection needed for AI use and development. Stakeholders in the healthcare, technology, and business sectors all stressed that there was a lack of appropriate education, funding, and guidelines surrounding AI, and these concerns needed to be addressed to ensure future implementation is safe and suitable for patient care. Conclusion: Ultimately, the results found in this study highlighted that there was a need for communication between stakeholder in order for these concerns to be addressed, mitigate potential risks, and maximise benefits for patients and clinicians alike. The results also identified a need for further qualitative research in this area to further understand stakeholder experiences as AI use continues to develop.
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.