Summary: A majority of the patient information patients and care teams use to make health care decisions is effectively “locked” in clinical notes such as those written or dictated by physicians. Natural Language Processing techniques have been maturing to extract these concepts, fill information gaps, and support health care’s clinical, operational, and financial objectives. I delivered this webinar to summarize some of Atrius Health’s work using the Linguamatics I2E platform.
Some of the session details (slides below):
Summary: Atrius Health expects a large proportion of commercially insured patients to shift into accountable care arrangements in the near future. The presenters will describe their work to develop new risk models for commercial patients, using both financial claims and Epic data, and compare these against other risk models.
One of the stranger experiences I had explaining Symcat. It was cleverly edited to make the conversation more fast-paced.
You can watch the interview on the CNBC website.
I am appreciative for the opportunity to share alongside David some of my journeys in conceiving of and building Symcat during the Johns Hopkins Informatics Grand Rounds. In it, we talk about some of the history of decision support, the technology behind Symcat, and some additional points about entrepreneurship and web development that excite us.
If standing in front of 1,400 people for a live demo of your new app doesn’t get your pulse up, then… you’ve probably done it many times before. That was not the case for me. Fortunately, I didn’t need to do any extemporaneous speaking when I was next invited to the stage.