Analytics

Digital transformation in healthcare requires more than the latest medical technology; to mitigate risks — and reduce clinical burnout — hospitals also need connectivity and interoperability.

As we enter 2024, healthcare organizations are already focusing on all the above plus advancing digital health and telemedicine, clinical efficiency, employee retention and outsourcing their IT utilizing managed services.

Healthcare leaders overwhelmingly say more than half of their data is accurate, but fewer say it’s being used to make decisions, according to a recent market insights survey conducted by HIMSS and Arcadia.

Mayo Clinic's Dr. Sonya Makhni answers key questions on creating and delivering artificial intelligence, inherent bias and the importance of risk classification systems. 

In season 2, episode 2 of "Unlocking Big Data," sponsored by Arcadia, Albert Duntugan, UCLA Health’s chief data officer, and Nick Stepro, Arcadia’s chief product and technology officer, talk about how to make data more accessible to different end users.

How healthcare leaders can fully utilize their data.

Chrissy Daniels, chief experience officer at Press Ganey, says this year the patient experience needs to explore innovative approaches to patient engagement and education, and emphasize the importance of integrating cutting-edge technologies.

Interoperability Institute's Jim St. Clair and the VA's Thomas Osborne and Dr. Paul Tibbits say digital representations in healthcare research are evolving rapidly. They'll have updates on modeling at the personal and enterprise levels at HIMSS24.  

The EHR vendor says it's been rapidly integrating artificial intelligence across all its offerings over the past year to automate healthcare workflows and hone in on better provider and patient experiences.

Also: NIH awarded Mount Sinai researchers $4 million to develop an artificial intelligence-powered model to detect adverse outcomes of obstructive sleep apnea.