[37] - E-Clinic Notes

Inspiration

For physicians, a lot of emphasis is placed on writing the clinic note due to its importance in documentation and billing. But the current format of writing the clinic note is time consuming--especially considering the average number of patients a physician sees in the clinic per day. Focusing so much on the clinic note takes away from the quality of the interaction a physician has with his/her patients. And for the physicians who put off the inevitable until the end of the clinic day, it leaves them with a bulk of clinic notes to write when they could be at home spending time with their families.

What it does

“E-Clinic notes” is a machine-learning-based algorithm that listens to the conversation between a patient and physician and writes a specialty-focused clinic note based on what it hears.

How we built it

React

Challenges we ran into

One challenge we faced was how to teach the computer which parts of the conversation should go into the note versus which parts of the conversation it could ignore.

Accomplishments that we're proud of

We finished a demo.

What we learned

We learned a little bit about machine learning.

What's next for Clinic Note

Next, we seek to develop this technology to different chief complaints and different specialties. Also, we seek to incorporate a feature where the app suggests certain physical exam skills/special maneuvers, labs, potential diagnoses, and potential plans based on the chief complaint and the most up to date medical literature.

Built With

• javascript
• react