Andrea Fox

At Omaha-based CHI Health, a hybrid cloud platform supported stroke patient care after the worldwide IT disruption knocked out its electronic health records, says one neurologist who recounts the experience.

Between healthcare chatbots, smart patient records, doctors armed with predictive analytics and frontline staff often interfacing electronically, patients want healthcare interactions and experiences to be transparent and personalized.

Artificial intelligence has the potential to expand a healthcare organization, reaching more patients and improving outcomes. But how can healthcare leaders help their clinical workforce understand the implications and ensure their buy-in?

There is pain and reward when designing artificial intelligence that improves frontline staff experience, said Mercy Chief Nurse Executive Betty Jo Rocchio in her keynote at the HIMSS AI in Healthcare Forum.

Also: PatientPay partners to reduce rev cycle friction, two radiology IT rivals join forces and Check Point acquires an AI-powered risk management company.

The FBI and CISA say a significant percentage of foreign threat actors associated with the government of Iran are targeting several U.S. sectors, including healthcare and local governments, to obtain network access and deploy ransomware.

A new automated patient-messaging link with electronic health records is designed to help community health centers address uncontrolled diabetes without increasing the workload of overburdened staff. 

The American Hospital Association is applauding the Office for Civil Rights for opting not to appeal a district court decision that vacated its recent rule regulating online tracking technologies.

Integrating partnerships and promoting workforce development in the communities CareFirst BlueCross BlueShield serves is helping address the social drivers that affect health outcomes, says President and CEO Brian Pieninck.

The Advanced Research Projects Agency for Health says new funding to advance capabilities that detect and auto-correct misalignments with training data could help users of medical devices integrated with artificial intelligence ensure peak performance.