Patient Pre-Screening With Machine Learning and NLP

The Problem

Patient pre-screening adds value even before a patient arrives at a medical facility to seek care. However, the current methods of pre-screening, which mostly consists of questionnaires and symptoms checkers, are basic and a lot of the times erroneous. How can pre-screening be improved for delivery of better care?

Solution

Machine Learning models can be deployed to improve patient pre-screening. The models can use vast volumes of data to learn patterns and provide initial diagnosis more accurately. In addition, NLP models can help improve the experience by providing voice based interactive solution that helps patients explain symptoms in voice as they would with a doctor. Furthermore, AI models can also help patients in seeking care by making appointments, finding a medical facility, procuring medication, co-ordination with insurance agents and more.