Long waits of hospital discharge and insurance fraud are common in healthcare. Medi Assist’s bold integration of artificial intelligence (AI) has come up to ease the issues. It is to streamline hospital discharges and tackle healthcare fraud. It is a technological upgrade for the industry and of course a significant improvement in patient experience.
About 7,000 patients from top hospitals like Fortis and HN Reliance Foundation were discharged last month without the usual hours of waiting for final bills. Medi Assist’s AI predicts accurately the out-of-pocket expenses of patients with a margin of just ₹500. It allows patients to settle bills faster.
However, the question arises as to why it has taken such as a long time for AI to address a basic issue. Perhaps the answer lies in the complexity of India’s healthcare data. Records are often handwritten here. The records are unstructured and fragmented. Medi Assist’s achievement is not just about implementing AI.
However, the most significant impact of Medi Assist’s AI goes beyond smoother discharges. It tacks a deep-rooted issue in India’s health insurance ecosystem and it is fraud. Insurance fraud has long driven up costs for both insurers and policyholders. The AI models analyze more than 160 parameters for each claim and have already doubled fraud detection savings.
The convenience of faster discharges is clear and the real win here is how AI is actively making healthcare more transparent, efficient as well as fair. Medi Assist’s AI-driven fraud detection represents a model for future insurance practices. It is not just about identifying fraud, but also about learning from it in real time. It is about improving accuracy and savings continuously.
