complications

UPMC Algorithm Predicts Post-Surgical Complications Better Than the Industry Standard, Study Shows

Researchers at UPMC and the University of Pittsburgh created and deployed a machine learning algorithm that flags patients who are at high risk for postsurgical complications. The research team recently published research validating the tool in JAMA Network Open — the study found that the health system’s model outperforms the industry standard.

By Katie Adams

Health IT, Hospitals

Report: 22% of providers saw death rates spike following a ransomware attack

Ransomware attacks had an impact beyond mortality rates as well, with 71% of respondents saying that these cyberattacks drove up lengths of stay and 36% saying they led to an increase in clinical complications.

By Anuja Vaidya

eBook

Using Informed Awareness to Transform Care Coordination and Improve the Clinical and Patient Experience

This eBook, in collaboration with Care Logistics, details how hospitals and health systems can facilitate more effective decision-making by operationalizing elevated awareness.

By Care Logistics

With the Rise of AI, What IP Disputes in Healthcare Are Likely to Emerge?

Munck Wilson Mandala Partner Greg Howison shared his perspective on some of the legal ramifications around AI, IP, connected devices and the data they generate, in response to emailed questions.

UPMC Algorithm Predicts Post-Surgical Complications Better Than the Industry Standard, Study Shows

Report: 22% of providers saw death rates spike following a ransomware attack

A Personalized Approach to Medication Nonadherence