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

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
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article

Revolutionizing Healthcare: AI-Powered Solutions, Technological Integration for Accessible and Effective Medical Service

Abdul Sattar Shaikh, Vaidehi Patil, Sakshi Bharat Takbhate, Shailesh Gawai et al.
4 citations
Healthcare Systems and Public Health
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article

Revolutionizing Healthcare: AI-Powered Solutions, Technological Integration for Accessible and Effective Medical Service

Abdul Sattar Shaikh, Vaidehi Patil, Sakshi Bharat Takbhate, Shailesh Gawai, Altaf Mainoddin Limbore
article en
4 citations

Abstract

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.

Industry, innovation and infrastructure
Openalex Percentile: Top 15%
Healthcare Systems and Public Health
1.55
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