Quality and Safety

That's the view of a tech CEO who discusses problems with the patient experience and what may happen if hospitals and health systems embrace digital tools on the patient-facing side.

POCUS has proven itself a cost-effective diagnostic tool that enhances the physical exam, says one Jefferson Healthcare physician. Money is not wasted on excessive testing and patients avoid the hospital because their disease is recognized quickly.

The modernized, outcomes-focused AMAM is meant to help health systems keep pace with the rapid evolution of analytics technologies and artificial intelligence and "support equitable, data-driven decision-making at scale."

Once they're found, "we can systematically improve processes," says the health system's patient experience lead, helping move the needle on quality improvement, team member engagement and more.

HIMSS' new Policy Principles for Artificial Intelligence and Machine Learning focus on safety and trust; transparency and privacy; and workforce and sustainability. Jonathan French, senior director of public policy at HIMSS explains more.

Hadassah Backman, RN, is a nurse CEO who says artificial intelligence could do a lot to help RNs with relentless documentation burden, while also helping organizations boost revenue and improve compliance.

A potentially shortened battery life in the MiniMed 600 or 700 series insulin pumps may result in the pump stopping insulin delivery significantly sooner than expected.  

Great Ormond Street Hospital's Dr Shankar Sridharan shares his take on AI application in healthcare and user responsibilities.

APAC hospital IT heads evaluated their respective experiences, barriers, and outlook on AI deployment.

A Carnegie Mellon University professor who specializes in responsible AI and generative AI discusses their importance in healthcare and combining the two – which can be tricky.