Operationalizing NLP to Support Value-based Care

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.

Identification of High Risk Commercial Patients for Population Management (Epic XGM 2015)

Just got back from Epic XGScreenshot 2015-07-11 18.43.53M 2015 presenting some of the work I have been doing at Atrius Health in predicting high risk patients.

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.

Continue reading

Symcat: A Consumer-side Expert System for Diagnosis (Johns Hopkins Informatics Grand Rounds)

I am appreciative for the opportunity to share alongside David some of my journeys in conceiving of and building Symcat during the Johns Screenshot 2015-07-11 19.17.18Hopkins 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.

  1. video of the presentation
  2. slides