Enhancing Medical Knowledge Sharing and Decision Support with AI- Driven Collaborative Platforms in Healthcare
- Version
- Download 11
- File Size 349.89 KB
- File Count 1
- Create Date 18 April 2025
- Last Updated 18 April 2025
Enhancing Medical Knowledge Sharing and Decision Support with AI- Driven Collaborative Platforms in Healthcare
Authors:
Prof. Ashvini Bamanikar¹, Jyotish Batra², Abhishek Katale³, Saurabh Thakur⁴, Ghanashyam Kadam⁵
¹ Professor, PDEA’s College of Engineering, Pune, ²³⁴⁵ Students, PDEA’s College of Engineering, Pune
- bamanikar@gmail.com
- jyotishbatra2003@gmail.com
- abhishekkatale427@gmail.com
- work@gmail.com
- ghanashyamkadam1@gmail.com
Department of Computer Engineering
Pune District Education Association’s College of Engineering, Manjari Bk. Hadapsar, Pune, Maharashtra, India. - 412307 Email: coem@pdeapune.org
Abstract: 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.
Download