Published 01-09-2024
Keywords
- Healthcare,
- Usability
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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Abstract
This paper explores the significance of human-centric design principles in the development of AI-driven Clinical Decision Support Systems (CDSS). CDSS play a pivotal role in modern healthcare by providing clinicians with real-time insights and recommendations to improve patient care. However, the success of these systems relies heavily on their usability and acceptance by healthcare professionals. By integrating user-centered design principles into the development process, AI-driven CDSS can be tailored to meet the needs and preferences of clinicians, ultimately leading to improved usability, adoption, and patient outcomes. This paper presents a comprehensive analysis of human-centric design approaches in the context of AI-driven CDSS, highlighting the importance of user feedback, iterative design processes, and user interface considerations. Additionally, it discusses the challenges and opportunities associated with implementing human-centric design principles in AI-driven CDSS and provides recommendations for future research and development in this area.
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