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Stream/Area:
-
Subject:
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Paper ID:
IJSREM68439
Volume:
10 |
10 |
Oct 2026
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Department of computer science and engineering
Kings College of Engineering

Department of computer science and engineering
Kings College of Engineering

Department of computer science and engineering
Kings College of Engineering

Department of computer science and engineering
Kings College of Engineering

Department of computer science and engineering
Kings College of Engineering

Department of computer science and engineering
Kings College of Engineering
Department of computer science and engineering
Kings College of Engineering
Artificial intelligence (AI) is increasingly used in healthcare for risk prediction, triage, imaging and remote monitoring, yet many promising tools perform well in the laboratory but fail to become part of routine care. A common reason is that they are built around available data and algorithms rather than around the real needs, workflows and constraints of patients and clinicians. This paper proposes the use of human-centred design thinking (Empathize, Define, Ideate, Prototype and Test), consistent with the principles of ISO 9241-210, as a framework for developing an AI-based healthcare application. It describes how each stage can be applied to a clinical setting, with example research methods, personas and “How might we” questions; presents a modular system architecture with candidate modelling techniques, explainability and safety features; outlines an illustrative scenario, an implementation roadmap and an evaluation plan; and discusses ethical concerns such as patient safety, privacy, bias, transparency and accountability. The paper is conceptual: it offers a design approach and does not report experimental results. It concludes that combining design thinking with AI helps create healthcare applications that are safe, useful, trusted and adopted by the people who use them.
KEYWORDS
This paper proposed a human-centred design thinking approach for developing an AI-based healthcare application. By empathising with patients and clinicians, defining the right problem, deciding the division of work between AI and humans, prototyping early and testing repeatedly, designers can build applications that are not only technically capable but also safe, understandable, fair and useful in real care settings. Future work should implement a prototype following this framework, compare different modelling techniques, and evaluate the effect on clinical outcomes, clinician workload, engagement and fairness with real users.
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Publication Date
10/28/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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