ArticleInformation systems frontiers : a journal of research and innovation2021
Responsible Artificial Intelligence (AI) for Value Formation and Market Performance in Healthcare: the Mediating Role of Patient's Cognitive Engagement.
Article in Information systems frontiers : a journal of research and innovation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- The Effectiveness of Machine Learning Algorithms in Predicting Healthcare Service Quality Metrics: A Systematic Review.Healthcare (Basel, Switzerland) · 2026Review
- Empowered or Constrained? Digital Agency, Ethical Implications, and Students' Intentions to Use Artificial Intelligence.Behavioral sciences (Basel, Switzerland) · 2026Article
- Responsible artificial intelligence (AI) in healthcare: a paradigm shift in leadership and strategic management.Leadership in health services (Bradford, England) · 2025Review
- Clinical Decision Support Systems in Indian Healthcare Settings: Benefits, Barriers, and Future Implications.Healthcare (Basel, Switzerland) · 2025Review
- Framework for bias evaluation in large language models in healthcare settings.NPJ digital medicine · 2025Article
- Guiding responsible AI in healthcare in the Philippines.NPJ digital medicine · 2025Review
- Article
- Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection.Information systems frontiers : a journal of research and innovation · 2022Article
- A distributed approach to the regulation of clinical AI.PLOS digital health · 2022Article
- Personalized insights into urinary tract infection management: A text mining analysis of online consultation data.Digital healthArticle
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Authors and funding
3 authors.
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Abstract
The Healthcare sector has been at the forefront of the adoption of artificial intelligence (AI) technologies. Owing to the nature of the services and the vulnerability of a large section of end-users, the topic of responsible AI has become the subject of widespread study and discussion. We conduct a mixed-method study to identify the constituents of responsible AI in the healthcare sector and investigate its role in value formation and market performance. The study context is India, where AI technologies are in the developing phase. The results from 12 in-depth interviews enrich the more nuanced understanding of how different facets of responsible AI guide healthcare firms in evidence-based medicine and improved patient centered care. PLS-SEM analysis of 290 survey responses validates the theoretical framework and establishes responsible AI as a third-order factor. The 174 dyadic data findings also confirm the mediation mechanism of the patient's cognitive engagement with responsible AI-solutions and perceived value, which leads to market performance.
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