Analytics

Senior scientist at Booz Allen Hamilton Jennifer Gaudet Hefele previews her HIMSS23 explanation of the ways AI can analyze troves of online patient narratives.

Jeremy Petch, director of digital health innovation at Hamilton Health Sciences, discusses his HIMSS23 lecture on the reliability of explainable AI in healthcare and how to ensure the responsible use of explainability techniques.

David Higginson, Phoenix Children's Hospital EVP and chief innovation officer, highlights the ways AI algorithms supplement the work of the clinical and operational teams.

Natural language processing, a type of AI, reviews a massive number of healthcare documents to help two U.S. military health IT experts do their work more efficiently.

Natural language processing technology helps NorthShore University HealthSystem look at social determinants of health data. Health equity senior programmer analyst Emily Kwan highlights her upcoming HIMSS23 session.

Wendy Paul, medication process architect at Seattle Children's Hospital, and Kyle Longhurst, product manager at Pariveda, preview their HIMSS23 discussion on a discharge medication error quality improvement project.

"Staffing Optimization With AI: A look back & look forward," a HIMSS23 educational session, will feature Natalie Edgeworth, senior manager for workforce optimization and innovation at Providence.

Artificial intelligence and machine learning bring up questions of transparency, efficacy and safety that boards must face, according to Berkeley Research Group managing director Tom O’Neil.

In a look ahead at a HIMSS23 panel Olga Kagan, RN, adjunct professor at CUNY School of Professional Studies and Molloy University, explains the ways tools can empower nurses, assist in career development and lower burnout levels.

J. Tod Fetherling, Huron managing director, surveys the panel he’ll present at HIMSS23 regarding models the panelists developed that can help predict lung cancer and how to translate analytics into patient communication.