clinical workforce
IT executives who aspire to be chief AI officers should be passionate, understand that what they do improves lives, build strong partnerships to solve complex challenges, says Mouneer Odeh, the new chief data and AI officer at Cedars-Sinai.
HIMSS25
Bob Dichter, founder and career coach at Phoenix Rising Career Services, recommends that newcomers to the industry determine how their knowledge and experience can apply to healthcare IT and articulate their value clearly.
HIMSS25
Healthcare leaders and clinical informaticists can help decide which digital tools are most useful and accessible for patients without being overwhelming, says Whende Carroll, clinical informatics advisor at HIMSS.
HIMSS25
Successful documentation improvements require collaboration and frontline nurses to be engaged in the decision-making process to drive change and meaningful improvement, says NYU Langone Health's Denise Dauterman and Deborah Jacques.
Chief AI officers can help organizations address clinical issues, such as C. diff inspections and sepsis, and broader needs like scheduling, resources and improving the backend, says Zachary Durst, IT practice consultant at WittKieffer.
A lot of things are moving healthcare interoperability forward. The amount of progress that's been made even in the past 18 months is amazing and a lot of people are paying attention to it, says Dan Torrens, eHealth Technologies CEO.
People in the workforce are increasingly looking for work-life harmony. Flex work is very much in demand, says Robert Crowe, EVP of per diem and local workforce strategies at Medical Solutions and founder of Matchwell.
The all-cash transaction will see Cross Country transition to a privately held company with its common stock no longer trading on the Nasdaq.
To ensure proper AI use in healthcare, chief AI officers must be proactive, reach out to colleagues, develop valuable relationships and set up informational sessions, says Dennis Chornenky, UC Davis Health chief AI advisor.
Chief AI officers should have a strong sense of what the AI policy regulatory environment looks like and an understanding of business strategy, technology and domain expertise, says Dennis Chornenky, chief AI advisor at UC Davis Health.