AI has the potential to revolutionize healthcare in areas that range from drug discover to the patient experience. In this podcast, Heather Lane from athenahealth shares the challenges and opportunities of using AI to improve the patient and clinician experience.

Heather's Bio:
Heather has a PhD from Purdue, where she focused on developing machine learning methods for the computer security problem of anomaly detection. She's worked at the MIT AI Lab (now CSAIL) working with Leslie Kaelbling on reinforcement learning and decision-theoretic planning, Markov decision processes, and the tradeoff between stochastic and deterministic planning.

In 2002, she moved to the University of New Mexico as an assistant professor in the Department of Computer Science. There she worked on a number of application areas of ML, including the bioinformatics of RNA interference, genomics, and computational neuroscience (inference of brain activity networks from neuroimaging data). Much of that work involved Bayesian networks and dynamic belief networks.

In 2008, she was promoted to associate professor at UNM and was granted tenure.
In 2012, she moved from academia to industry, joining Google in Cambridge, MA. working on Knowledge Graph, Google Books, Project Sunroof, and Ads Latency.

In 2017, she joined athenahealth to lead a Data Science team working to use athena's immense store of healthcare data to improve healthcare experiences for clinicians and patients.

Social Links

You can follow Heather at: https://www.linkedin.com/in/terranlane/

You can follow Maribel at:
X/Twitter: https://twitter.com/maribellopez
LinkedIn: https://www.linkedin.com/in/maribellopez
YouTube: https://www.youtube.com/c/MaribelLopezResearch

Hashtags: #AI, #Healthcare #PatientExperience