Enhancing Transparency and Trust in Healthcare Decision Support Systems through Explainability

Author(s)	Prof. Mr. NANTHINI P, SATHISH KUMAR S
Country	India
Abstract	Healthcare decision support systems help physicians in detecting, treating, and caring for sufferers. But the more complicated these computer systems expand, the more difficult it is to truly understand how they make rulings. To their processes to be trustworthy and reliable, they must be open and clear. By explaining the procedure for making choices, health care providers can analyze suggestions and make informed choices. Methods that aid in understanding findings involve highlighting key aspects, using basic concepts, and providing visual explanations. Further, it helps to ensure impartiality in treatment and decrease errors. Even with these techniques, it's still hard to strike the appropriate equilibrium between accuracy and clarity. In the healthcare industry, honest explanations enhance trust and responsible its use.
Keywords	Explainable AI, Healthcare Decision Support Systems, Transparency, Trustworthiness, Interpretability, Visual Explanations, Bias Reduction, Accuracy-Clarity Balance, Responsible AI, Medical Decision-Making, Fairness in Treatment.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-03-17
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.39312
Short DOI	https://doi.org/g882hx

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