ABSTRACT
Introduction: The use of artificial intelligence (AI), which can emulate human intelligence and enhance clinical results, has grown in healthcare decision-making due to the digitalization effects and the COVID-19 pandemic. The purpose of this study was to determine the scope of applications of AI tools in the decision-making process in healthcare service delivery networks. Materials and methods: This study used a qualitative method to conduct a systematic review of the existing reviews. Review articles published between 2000 and 2024 in English-language were searched in PubMed, Scopus, ProQuest, and Cochrane databases. The CASP (Critical Appraisal Skills Programme) Checklist for Systematic Reviews was used to evaluate the quality of the articles. Based on the eligibility criteria, the final articles were selected and the data extraction was done independently by 2 authors. Finally, the thematic analysis approach was used to analyze the data extracted from the selected articles. Results: Of the 14â 219 identified records, 18 review articles were eligible and included in the analysis, which covered the findings of 669 other articles. The quality assessment score of all reviewed articles was high. And, the thematic analysis of the data identified 3 main themes including clinical decision-making, organizational decision-making, and shared decision-making; which originated from 8 subthemes. Conclusions: This study revealed that AI tools have been applied in various aspects of healthcare decision-making. The use of AI can improve the quality, efficiency, and effectiveness of healthcare services by providing accurate, timely, and personalized information to support decision-making. Further research is needed to explore the best practices and standards for implementing AI in healthcare decision-making.
ABSTRACT
BACKGROUND: Due to the increasing pressure on hospitals to enhance the quality of services, the participation of physicians in accreditation programs has become more important than ever. The present study was conducted to describe challenges of physicians' participation in hospital accreditation programs in Iran using a qualitative approach. METHODS: We conducted interviews with 11 managers, 9 physicians and 8 experts in the field of hospital accreditation. Interviewees were selected through purposive snowball sampling. In-depth unstructured and semi-structured interviews were conducted for data collection. The data obtained were analyzed in ATLAS.ti using the conceptual framework method. RESULTS: The results of this study extracted 3 main themes including: cultural, organizational and behavioral factors. Also, this study found 12 sub-themes and 57 items. Sub-themes in the cultural domain were motivation, patient demand, mutual trust and evaluation system. The organizational domain consisted of seven sub-themes, including high workload, understanding the role of quality management unit, unrealistic accreditation, nature of accreditation, empowerment of physicians in the field of quality, effective communication, resource constraint. Sub-themes in the behavioral dimension were ambiguity in the role and uncertainty about how to participate in accreditation program. CONCLUSION: Physicians' participation in accreditation programs can be increased through culture building and proper training about accreditation activities in the medical community.
