Analytics

Getting to the unique root cause for each patient has enabled the healthcare organization to reduce hospitalizations, improve medication adherence, reduce healthcare costs, reduce medications and help patients lose weight.

Thierry Marchal of Ansys and researcher María Angeles Pérez discuss how combining clinical data and mathematical models to create digital simulations can increase precision across specialties and expedite patient treatment.  

Videha Sharma, clinical innovation lead at the University of Manchester, explains the NHS’s plan to expand pharmacogenetics, or how people’s genetic codes influence the effects of drugs, beyond specialist care to general practice.

Dr. Tim O'Connell, cofounder and CEO of Emtelligent, explains how NLP can quickly surface relevant data information buried in patient charts, helping guide clinicians' treatment decisions.  

An evidence-driven, app-based tool leverages trending and forecasting data to help multiple sclerosis patients manage their fatigue, says Dr. Guido Giunti, digital therapeutics lead at Trinity College Dublin and 2024 HIMSS Changemaker award winner.  

Gustavo Adolfo Torres Becerra, healthcare manager at Minsait, an Indra company, talks about how interoperability enables citizens’ clinical data to be recorded to help them receive more personalized care and become involved in their own health.

Gabriel Garcia-Lopez, health information systems director at the Los Angeles LGBT Center, explains how attending a HIMSS conference inspired him to serve on HIMSS committees to help advance LGBTQ+ health equity – and led to a 2024 Changemaker Award.  

In season 2, episode 5 of "Unlocking Big Data," sponsored by Arcadia, John Halamka, president, Mayo Clinic Platform, and Arcadia president and CEO Michael Meucci, talk about AI use cases that improve clinicians’ efficiency and job satisfaction.

Whether you're grappling with unexpected expenses, convoluted management tasks, or technical snags, this session is designed to equip you with the knowledge and tools necessary for optimizing your cloud application delivery framework.

To help health IT leaders address the risks associated with AI, here are some key steps to help approach digital transformation in a safe and sustainable way.