دورية أكاديمية
Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis.
| العنوان: | Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis. |
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| المؤلفون: | Vo V; Centre for Health Economics, Monash University, Australia. Electronic address: vinh.vo@monash.edu., Chen G; Centre for Health Economics, Monash University, Australia., Aquino YSJ; Australian Centre for Health Engagement, Evidence and Values, School of Health and Soceity, University of Wollongong, Australia., Carter SM; Australian Centre for Health Engagement, Evidence and Values, School of Health and Soceity, University of Wollongong, Australia., Do QN; Department of Economics, Monash University, Australia., Woode ME; Centre for Health Economics, Monash University, Australia; Monash Data Futures Research Institute, Australia. |
| المصدر: | Social science & medicine (1982) [Soc Sci Med] 2023 Dec; Vol. 338, pp. 116357. Date of Electronic Publication: 2023 Nov 04. |
| نوع المنشور: | Systematic Review; Journal Article; Review |
| اللغة: | English |
| بيانات الدورية: | Publisher: Pergamon Country of Publication: England NLM ID: 8303205 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-5347 (Electronic) Linking ISSN: 02779536 NLM ISO Abbreviation: Soc Sci Med Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: Oxford ; New York : Pergamon, c1982- |
| مواضيع طبية MeSH: | Artificial Intelligence* , Algorithms*, Humans ; Educational Status ; Emotions ; Empathy |
| مستخلص: | Introduction: Despite the proliferation of Artificial Intelligence (AI) technology over the last decade, clinician, patient, and public perceptions of its use in healthcare raise a number of ethical, legal and social questions. We systematically review the literature on attitudes towards the use of AI in healthcare from patients, the general public and health professionals' perspectives to understand these issues from multiple perspectives. Methodology: A search for original research articles using qualitative, quantitative, and mixed methods published between 1 Jan 2001 to 24 Aug 2021 was conducted on six bibliographic databases. Data were extracted and classified into different themes representing views on: (i) knowledge and familiarity of AI, (ii) AI benefits, risks, and challenges, (iii) AI acceptability, (iv) AI development, (v) AI implementation, (vi) AI regulations, and (vii) Human - AI relationship. Results: The final search identified 7,490 different records of which 105 publications were selected based on predefined inclusion/exclusion criteria. While the majority of patients, the general public and health professionals generally had a positive attitude towards the use of AI in healthcare, all groups indicated some perceived risks and challenges. Commonly perceived risks included data privacy; reduced professional autonomy; algorithmic bias; healthcare inequities; and greater burnout to acquire AI-related skills. While patients had mixed opinions on whether healthcare workers suffer from job loss due to the use of AI, health professionals strongly indicated that AI would not be able to completely replace them in their professions. Both groups shared similar doubts about AI's ability to deliver empathic care. The need for AI validation, transparency, explainability, and patient and clinical involvement in the development of AI was emphasised. To help successfully implement AI in health care, most participants envisioned that an investment in training and education campaigns was necessary, especially for health professionals. Lack of familiarity, lack of trust, and regulatory uncertainties were identified as factors hindering AI implementation. Regarding AI regulations, key themes included data access and data privacy. While the general public and patients exhibited a willingness to share anonymised data for AI development, there remained concerns about sharing data with insurance or technology companies. One key domain under this theme was the question of who should be held accountable in the case of adverse events arising from using AI. Conclusions: While overall positivity persists in attitudes and preferences toward AI use in healthcare, some prevalent problems require more attention. There is a need to go beyond addressing algorithm-related issues to look at the translation of legislation and guidelines into practice to ensure fairness, accountability, transparency, and ethics in AI. Competing Interests: Declaration of competing interest None declared. (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.) |
| فهرسة مساهمة: | Keywords: Artificial intelligence; General public; Health professional; Healthcare; Patients |
| تواريخ الأحداث: | Date Created: 20231110 Date Completed: 20231120 Latest Revision: 20240117 |
| رمز التحديث: | 20240117 |
| DOI: | 10.1016/j.socscimed.2023.116357 |
| PMID: | 37949020 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1873-5347 |
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| DOI: | 10.1016/j.socscimed.2023.116357 |