Bill Siwicki

It's fair to be wary of AI in healthcare, but using proven technology to help do easily automatable tasks is a no-brainer, says the CMO of EmpowerMe.

A risk management expert offers perspective on shoring up data security, preventing misdiagnosis and avoiding overreliance on RPM.

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.

Where can smaller hospitals and health systems begin with artificial intelligence? Brent T. Hoard, a partner at Troutman Pepper and AI expert, says most likely with a vendor. He elaborates on this and much more advice.

Many patients who had 40% medication adherence rates now take their medication 90% of the time. And the organization has seen a 29% reduction in inpatient utilization and a 24% reduction in ER utilization.

IEEE Fellow Chenyang Lu shows where artificial intelligence can be deployed clinically to improve patient outcomes – and discusses the challenges and future of AI throughout healthcare.

The clinical analytics tool is improving engagement metrics at Tennessee-based Psychiatric Medical Care, helping report aggregate data to the board and The Joint Commission, informing performance evaluations – and offering something quantifiable to show patients and families.

Officers in Oklahoma can contact mental health professionals from their vehicles, avoiding ER visits and other risks. In the counties served by the virtual care program, there has been a 93.1% reduction in hospitalizations for mental health crises.

As a result, it can now more easily find clinical trial patients matching ultra-rare diseases or mind-boggling clinical requirements.

Launching telemedicine from within the patient portal – which enables the health system to get electronic signoff on certain documents – is a big boon for compliance and efficiency.