Enhancing Medical Knowledge Sharing and Decision Support with AI- Driven Collaborative Platforms in Healthcare
Healthcare professionals require efficient systems for instant collaboration, continuous learning, and informed decision-making. While digital tools exist, they often lack tailored AI integration for medical contexts. This paper proposes an advanced, AI-enhanced collaborative platform focused on medical knowledge exchange, contextual query resolution, and decision support. Through modular architecture and semantic AI models, the platform encourages evidence-based practice, personalized learning, and expert-led discussions. Real-time updates, role-based access, and secure communication protocols ensure adaptability in dynamic healthcare settings. Evaluation shows improved knowledge dissemination and user engagement, pointing to future possibilities of AI- driven support in clinical practice. Keywords: Medical Collaboration, Semantic AI, Decision Support System, NLP in Healthcare, Medical Forums.
Authors
- Ashvini Bamanikar
Publication Details
- Journal
- International Scientific Journal of Engineering and Management
- Published
- 2025-04-19
- DOI
- https://doi.org/10.55041/isjem02920
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00