Analytics

It leverages population-level data on stroke patients from more than 10,000 healthcare facilities connected to the state HIE to track stroke incidence by area and identify demographic and other trends.

Its new Hospital Safety Grade report shows rates of healthcare-associated infections CLABSI, MRSA and CAUTI with double-digit increases. Meanwhile, safety-related patient experience ratings have declined.

What's more, data work surrounding the early warning system helped spur physician use of evidence-based order sets to greater than 70% – which greatly reduces overall mortality.

Analytics are helping RNs to do their work more safely and efficiently, says Chad B. Carroll, from the HIMSS Nursing Informatics Committee, who talks about how automation can also reduce documentation burden.

The new 'Patient Progression Hub' is a hospital operations control center housing a video wall with customized AI-driven apps and interfaces that monitor and manage patient flows. 

The FHIR-enabled platform supports provider tools that integrate algorithms and machine learning to improve patient diagnoses.

How healthcare organizations can boost their data quality.

In Episode 3 of "Unlocking Big Data," sponsored by Arcadia, Anne Snowdon, Chief Scientific Research Officer at HIMSS, and Mary Kuchenbrod, Vice President, Data Operations at Arcadia, discuss the need for data accuracy in healthcare.

While the hardware still has catching up to do, quantum-based machine learning is already outperforming classical models.

Albert Marinez, chief analytics officer at Intermountain Healthcare, offers perspective on artificial intelligence for performance improvement: building effective models with "AI building blocks," getting buy-in from various stakeholders and more.