AI support system for authoring clinical documentation
![](https://deshpande-mit-edu.ezproxyberklee.flo.org/wp-content/uploads/2021/12/istockphoto-1296963883-612x612-1-aspect-ratio-580-360-580x360-c-default.jpg)
Quality medical records
Electronic Health Record (EHR) systems hold potential to aid clinical diagnosis, operations and research. However, their data is often unstructured, and the systems are time-consuming and difficult to work with. These problems contribute to clinical errors and physician burnout. This team is developing MedKnowts, a system combining machine learning and human-computer interaction to reduce the effort needed both to synthesize knowledge for medical decisions and to create quality structured records. MedKnowts provides a seamless interface that reimagines documentation as part of clinical reasoning rather than a compliance requirement. The result will be faster documentation, a lower search burden, and higher quality notes for billing, compliance and communication.
![](https://deshpande-mit-edu.ezproxyberklee.flo.org/wp-content/uploads/2023/12/Screenshot-2023-12-05-at-12.30.44 PM.png)
Layer Health
Technology from this project spun out into a startup company, Layer Health
![](https://deshpande-mit-edu.ezproxyberklee.flo.org/wp-content/uploads/2022/09/MIT-LLM-MedicalPhoto.jpg)