Navigating the Transformative Impact of Artificial Intelligence in Health Services Research
ABSTRACT Background and Aims Artificial intelligence (AI) is transforming health services research by providing novel insights, enhancing care quality, and improving patient outcomes. This review sought to assess AI's impact on health services research, highlighting its applications, benefits,...
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| Format: | Article |
| Language: | English |
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Wiley
2025-06-01
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| Series: | Health Science Reports |
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| Online Access: | https://doi.org/10.1002/hsr2.70793 |
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| author | Guosong Wu Fengjuan Yang |
| author_facet | Guosong Wu Fengjuan Yang |
| author_sort | Guosong Wu |
| collection | DOAJ |
| description | ABSTRACT Background and Aims Artificial intelligence (AI) is transforming health services research by providing novel insights, enhancing care quality, and improving patient outcomes. This review sought to assess AI's impact on health services research, highlighting its applications, benefits, and associated challenges. Methods We conducted a comprehensive review of recent literature on AI applications in health services research. Key areas of focus included image processing and language processing. The review also addressed the ethical and practical challenges of integrating AI into healthcare. Results Over the past decade, AI‐related research has markedly increased. AI has significantly advanced health services research by improving diagnostic precision, care quality, decision‐making, hospital operations, and personalized care. The benefits of AI in image processing and language processing have been substantial, resulting in positive impacts on healthcare practices. However, integrating AI into healthcare presents considerable ethical and practical challenges, including the need for robust data security, the mitigation of algorithmic biases, and the achievement of interoperability among diverse data systems. Conclusions AI offers significant potential to advance health services research and enhance patient care through powerful applications in image processing, language processing, diagnostic precision, decision‐making, and hospital operations. By leveraging AI's capabilities, healthcare systems can achieve more personalized, efficient, and accurate care. Addressing key challenges is essential for the effective and equitable integration of AI into healthcare systems. |
| format | Article |
| id | doaj-art-c9eb78e2b2a7411f8dee31293d926052 |
| institution | Kabale University |
| issn | 2398-8835 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | Health Science Reports |
| spelling | doaj-art-c9eb78e2b2a7411f8dee31293d9260522025-08-20T03:24:07ZengWileyHealth Science Reports2398-88352025-06-0186n/an/a10.1002/hsr2.70793Navigating the Transformative Impact of Artificial Intelligence in Health Services ResearchGuosong Wu0Fengjuan Yang1Department of Health Care Analytics, Shannon School of Business Cape Breton University Sydney CanadaThe Centre for Health Informatics, Cumming School of Medicine University of Calgary Calgary CanadaABSTRACT Background and Aims Artificial intelligence (AI) is transforming health services research by providing novel insights, enhancing care quality, and improving patient outcomes. This review sought to assess AI's impact on health services research, highlighting its applications, benefits, and associated challenges. Methods We conducted a comprehensive review of recent literature on AI applications in health services research. Key areas of focus included image processing and language processing. The review also addressed the ethical and practical challenges of integrating AI into healthcare. Results Over the past decade, AI‐related research has markedly increased. AI has significantly advanced health services research by improving diagnostic precision, care quality, decision‐making, hospital operations, and personalized care. The benefits of AI in image processing and language processing have been substantial, resulting in positive impacts on healthcare practices. However, integrating AI into healthcare presents considerable ethical and practical challenges, including the need for robust data security, the mitigation of algorithmic biases, and the achievement of interoperability among diverse data systems. Conclusions AI offers significant potential to advance health services research and enhance patient care through powerful applications in image processing, language processing, diagnostic precision, decision‐making, and hospital operations. By leveraging AI's capabilities, healthcare systems can achieve more personalized, efficient, and accurate care. Addressing key challenges is essential for the effective and equitable integration of AI into healthcare systems.https://doi.org/10.1002/hsr2.70793artificial intelligencehealth services researchquality of health care |
| spellingShingle | Guosong Wu Fengjuan Yang Navigating the Transformative Impact of Artificial Intelligence in Health Services Research Health Science Reports artificial intelligence health services research quality of health care |
| title | Navigating the Transformative Impact of Artificial Intelligence in Health Services Research |
| title_full | Navigating the Transformative Impact of Artificial Intelligence in Health Services Research |
| title_fullStr | Navigating the Transformative Impact of Artificial Intelligence in Health Services Research |
| title_full_unstemmed | Navigating the Transformative Impact of Artificial Intelligence in Health Services Research |
| title_short | Navigating the Transformative Impact of Artificial Intelligence in Health Services Research |
| title_sort | navigating the transformative impact of artificial intelligence in health services research |
| topic | artificial intelligence health services research quality of health care |
| url | https://doi.org/10.1002/hsr2.70793 |
| work_keys_str_mv | AT guosongwu navigatingthetransformativeimpactofartificialintelligenceinhealthservicesresearch AT fengjuanyang navigatingthetransformativeimpactofartificialintelligenceinhealthservicesresearch |