Overview
The biggest challenge any Healthcare organisation faces today is ingesting data from multiple data sources, with different formats. These range from structured EHR systems, to unstructured formats like Doctor notes, Voice transcripts from patient - doctor conversations and imaging records such as X Rays and Ultrasounds. Assessing these records is critical to ensure the diagnosis and suggested treatment is accurate. While accuracy of assessing this data is critical, time is of essence as well, to provide timely diagnosis. In this solution, GoML has leveraged LLMs, building a multi-agent framework, trained on massive Patient disease and diagnosis data, it integrates with Healthcare data sets of different formats, to provide realtime patient historical data analysis, providing patient health assessment, diagnosis and suggesting relevant treatment plans, with high accuracy. The solution is focused to help healthcare providers to build personalised patient healthcare plan, disease diagnosis and treatment plan, extreme faster and highly accurate. The solution is also aimed at helping the providers provide realtime disease prediction, including Cancer and Heart Diseases prediction for healthcare providers.
Highlights
- Faster personalized Patient health assessment, with high accuracy
- Early disease prediction, including Cancer, Cardiological and Downs Syndrome, for early treatment
- Realtime Healthcare data analysis and insights, across formats, including structured, unstructured, voice and image based data
Details
Pricing
Custom pricing options
Legal
Content disclaimer
Support
Vendor support
Support Email: contact@goml.io
Demo LInk: https://www.youtube.com/watch?v=1D1Y9bfgXfE&t=234s Case Study: