Enhancing Transparency and Trust in Healthcare Decision Support Systems through Explainability
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.
Authors
- S. Sathish
- P Nanthini
Publication Details
- Journal
- International Journal For Multidisciplinary Research
- Published
- 2025-03-17
- DOI
- https://doi.org/10.36948/ijfmr.2025.v07i02.39312
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00