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Strengthening primary health care through e-referral system
Md Abu Bashar1, Sudip Bhattacharya2, Shailesh Tripathi3
1Department of Community Medicine, PGIMER, Chandigarh, India.
Journal of Family Medicine and Primary Care
|May 31, 2019
Summary
An artificial intelligence-enabled e-referral system can improve India
Area of Science:
- Health Informatics
- Public Health
- Health Systems Management
Background:
- Healthcare systems globally aim for tiered care, starting at primary facilities to optimize costs.
- Patients in India often bypass primary care, burdening higher-level facilities due to an ineffective referral system.
- Challenges in India's healthcare include overpopulation, physician distribution, and motivation issues.
Purpose of the Study:
- To propose an artificial intelligence-enabled electronic referral (e-referral) system.
- To address the limitations of traditional paper-based referral systems in India.
- To streamline the referral process and improve healthcare access.
Main Methods:
- Leveraging internet technology for an e-referral system.
- Implementing artificial intelligence to enhance referral processes.
- Developing a collaborative platform for provider search and decision support.
Main Results:
- AI-enabled e-referral offers advantages over paper-based systems.
- Timely case management for healthcare workers.
- Streamlining of the disorganized referral process.
Conclusions:
- An e-referral system is crucial for strengthening India's healthcare system.
- Public-Private Partnerships can facilitate e-referral implementation.
- Bridging the healthcare access gap is a key outcome.
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