Quality and Safety

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.

What does the next year in AI and genAI look like? How can and must AI help with the clinician shortage? Is fearmongering detrimental to AI's future? Greg Miller, vice president of business development at Carta Healthcare, has the answers.

So says a new OIG audit, which found the VA and Oracle Health have been misaligned in their responses to outages throughout Electronic Health Record Modernization. While the agency has made procedural improvements, it needs to go further, auditors say.