AI/ML

Health system C-suites are seeking AI tools that deliver both clinical and economic value and integrate well with EHR workflows, says Dr. Peter Bonis, chief medical officer at Wolters Kluwer Health.

Dr. Antoine Keller, cardiothoracic surgeon at Ochsner Lafayette Hospital, discusses the importance of mitigating implicit bias – and how artificial intelligence can promote access and help the underserved, as with a portable diagnostics tool.

If clinical end users can't be confident in artificial intelligence, it will be difficult to expect them to adopt it, says Dr. Sonya Makhni, medical director of applied informatics at Mayo Clinic Platform.

But big challenges remain, says Michael Pencina, director of Duke AI Health, who discusses the IT infrastructure, workforce and workflow hurdles that need to be overcome before its potential is realized.

Nicole Ramage, senior market insights manager at HIMSS, unpacks new research that tracks where healthcare organizations are on their artificial intelligence journeys.

Esteban Rubens, Oracle healthcare field CTO, recommends that healthcare organizations cleanse, normalize and consolidate their data into a "lakehouse" before implementing AI tools that can support clinical and operational staff.

As burnout becomes a public crisis, artificial intelligence and automation can help – but have to be carefully deployed, says Dr. Eve Cunningham, chief of virtual care and digital health at Providence.

Healthcare organizations are getting much more comfortable – and much more mature – with their artificial intelligence initiatives, says Rob Havasy, senior director of informatics strategy at HIMSS.

Artificial and cybersecurity "aren't mutually exclusive, they're mutually inclusive," says Sunil Dadlani, chief information & digital officer at Atlantic Health System.

HIMSS President and CEO Hal Wolf offers perspective from around the world as health systems and nations work to innovate and regulate healthcare artificial intelligence.