Navigating the Artificial Intelligence Revolution: The Future of General Practice in India

Area of Science:

• Medical Informatics
• Artificial Intelligence in Healthcare
• Public Health Applications

Background:

• Global trends show increasing AI integration in healthcare.
• India aims to leverage AI for societal benefit via public service applications.
• Digital health initiatives in India are expanding rapidly.

Purpose of the Study:

• To explore the integration of AI into general medical practice in India.
• To examine practitioners' and patients' perspectives on AI in healthcare.
• To identify challenges and future directions for AI adoption in Indian healthcare.

Main Methods:

• Review of global AI healthcare trends.
• Analysis of India's strategic approach to AI in public services.
• Examination of Indian practitioners' views on AI for diagnostics and clinical judgment.
• Assessment of patient data privacy concerns.
• Identification of limitations in AI for administrative tasks.

Main Results:

• Practitioners exhibit mixed feelings about AI's diagnostic capabilities versus its ability to replicate clinical judgment.
• Patient data privacy is a significant concern amid digital health expansion.
• Data constraints and lack of clinical user involvement limit AI's administrative utility.
• Infrastructure, provider upskilling, and research investment are crucial.

Conclusions:

• Successful AI integration in Indian healthcare requires addressing technological, ethical, and practical challenges.
• A balanced approach is needed to foster innovation while ensuring human-centered care.
• Future efforts must focus on robust infrastructure, skilled workforce, and ethical guidelines.