What is the name of your organization?
EGHF
What is the name of your solution?
Nayagarh Smart Health Project
Provide a one-line summary or tagline for your solution.
Strengthening Primary Healthcare in Nayagarh District: An Integrated Digitally Enabled Approach using Artificial Intelligence
In what city, town, or region is your solution team headquartered?
Noida, Uttar Pradesh, India
In what country is your solution team headquartered?
IND
What type of organization is your solution team?
Nonprofit
Film your elevator pitch.
What specific problem are you solving?
India’s public health infrastructure faces significant challenges in timely diagnosis, data continuity, and clinical decision-making at the primary care level. These gaps lead to inefficiencies in care delivery and contribute to the growing burden on secondary and tertiary facilities.
Key Challenges:
Fragmented Digital Health Ecosystem: The absence of scalable and interoperable healthcare models prevents real-time data exchange, limiting frontline providers' ability to deliver timely, coordinated care. Existing electronic health records (EHR) systems are fragmented, restricting patient history tracking and chronic disease management.
Overburdened Tertiary Care: Most Ayushman Arogya Mandir, Primary Healthcare Centres and Sub-Centres rely on paper-based documentation, leading to frequent data loss and inefficient record-keeping. Limited diagnostic services and lack of point-of-care tools result in delayed disease detection and unnecessary referrals, further straining higher-level healthcare facilities.
Supply Chain Inefficiencies: Frequent stock-outs of essential medicines, diagnostics, and equipment disrupt consistent and quality care at the primary level.
Limited Screening & Weak Community Outreach: Routine screening for non-communicable diseases and maternal-child health remains insufficient, particularly in remote regions. Difficult terrain, population growth, and extreme weather conditions hinder early identification and timely intervention.
What is your solution?
Our solution envisions a user-friendly, integrated digital health ecosystem that strengthens primary healthcare holistically. A unified, interoperable Health Information System (HIS), integrated with ABDM standards, enables real-time, secure data exchange across all levels of care. It supports multilingual voice-to-text features, automated data segmentation, and assistive data generation—ensuring inclusivity and ease for both patients and providers.
Smart diagnostic devices deployed at Ayushman Arogya Mandirs enable rapid screening and analysis for key conditions within communities. Data from these devices and digital records feed into an AI-enabled analytics layer for early risk detection, clinical decision support, and optimized supply chain management.
Smart devices and standardized systems ensure accurate, ethical, and actionable use of health data while enhancing consent-based information exchange. The platform boosts collaboration among patients, doctors, and facilities, delivering services efficiently and responsively.
By enhancing the capacity and resilience of health systems—including workforce, infrastructure, and logistics—this solution improves access to quality care for underserved communities, advancing a data-driven, equitable, and proactive primary healthcare model at scale.
Who does your solution serve, and in what ways will the solution impact their lives?
This solution serves rural and underserved populations in Odisha and Gujarat, aiming to bridge critical gaps in primary healthcare. By deploying portable, digital point-of-care diagnostic devices at ayushman arogya mandirs- PHCs and Sub-Centres, the initiative enables on-site testing for common infectious conditions. This reduces delays in diagnosis and ensures timely treatment initiation and follow-up.
ABDM-enabled digital health information system (HIS), integrated with AI-powered Clinical Decision Support Systems (CDSS), will analyse digital health records, enhance data-sharing across healthcare levels, and support evidence-based clinical decision-making. These tools empower healthcare workers to deliver more informed, efficient, and proactive care, while generated longitudinal health records also support chronic disease management.
The initiative is being implemented in collaboration with government bodies in Odisha. Government partnerships ensure seamless integration into existing public health infrastructure, support capacity-building of healthcare staff, and enable expansion through scalable models.
Overall, the solution improves diagnostic access, enhances care continuity, reduces burden on secondary and tertiary hospitals, and strengthens public health systems at the grassroots level. Further we aim to scale this solution to secondary care level as well.