DataHealth

DataHealth AI is an AI powered multilingual voice platform that translates real time doctor and patient consultations and automatically converts them into secure structured medical records that flow seamlessly across hospital departments.

In many hospitals across India, doctors and patients often do not share a common language. A patient may describe symptoms in Hindi, Tamil, or another regional language while the doctor communicates primarily in English or a different language. This language barrier can lead to misunderstandings, incomplete documentation, and delays in care. Additionally, clinical workflows inside hospitals are fragmented. After a consultation, the patient typically moves between multiple departments such as laboratory, pharmacy, and diagnostic centers. These transitions are often manual, requiring physical prescriptions, repeated explanations, and separate data entries at each stage. The lack of a unified and structured system results in inefficiencies, increased wait times, and potential medical errors. Hospitals need a system that can assist with communication, create structured clinical records, and coordinate care across departments using a centralized patient identifier.

DataHealth AI captures doctor and patient interactions and converts them into a unified record of the consultation. The system supports communication where the patient and doctor may speak different languages. It transforms the consultation into structured outputs such as symptoms or clinical notes, prescriptions, diagnostic test recommendations, and follow up instructions. Each patient has a unique identifier through which their consultation history, prescriptions, and test results can be accessed. Hospital departments such as laboratory or pharmacy can receive and process relevant information generated from the consultation. Updates from departments such as laboratories or pharmacies are reflected back into the patient's record.