Revolutionizing Healthcare: AI-Powered Solutions, Technological Integration for Accessible and Effective Medical Service
The main characteristics of the healthcare platform that this study suggests for rural areas are User ID or image-based recognition, Options for consultation, Disease Prediction, Integration with Aasha Workers, Technical considerations and Project Objectives. User ID or image-based recognition are used for a secure login process. Options for Consultation is to select from medical chatbots or video consultations with physicians. Disease Prediction is to make recommendations for possible disease diagnosis, real-time image analysis (such as reviewing uploaded photos) and machine learning are used. Risk assessment: Machine learning algorithms evaluate risks for different health disorders based on user-provided data (age, medical history, etc.). Integration with Aasha Workers is a platform establishes a connection with Aasha workers, who can provide medication as required following consultations. Technical considerations are a platform can be built using web development frameworks such as Flask or Django. Strong privacy and data security protocols are necessary. Project Objectives: Expand access to healthcare in remote locations. Give patients knowledge and tools for self- evaluation to empower them. Improve interaction and cooperation between medical professionals, patients, and Asha employees.
Authors
- Abdul Sattar Shaikh (ORCID: https://orcid.org/0000-0002-9352-7092)
- Vaidehi Patil
- Sakshi Bharat Takbhate
- Shailesh Gawai
- Altaf Mainoddin Limbore
Publication Details
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1109/acroset62108.2024.10743713
- Citations
- 4
- Primary Topic
- Healthcare Systems and Public Health
- Type
- article
- Field-Weighted Citation Impact
- 1.55