Workforce

Many healthcare providers are missing opportunities by believing digital transformation isn't for them. But with cost and margin pressures rising, health systems should reevaluate the long-term value proposition, one consultant says.

Healthcare leaders must demand ethical artificial intelligence and ensure their RFPs list requirements for safeguards, says Sarah M. Worthy of DoorSpace. This will take time, which would mean pulling back from investing in the majority of AI tools.

Northeast Georgia Health System has deployed real-time location service and internet of things technologies to help healthcare workers in trouble. Chris Paravate, the health system's CIO, explains.

Johns Hopkins Aramco Healthcare's Dr. Tamara Sunbul talks about leading CIO masterclasses that foster idea exchange and teach attendees through hands-on experiences so they can immediately add more value to their organizations.

With a shortage of emergency medical service workers in the state, one telehealth service brings a virtual EMT into the ambulance to help the technician who is alone. That offers a wealth of medical expertise from physicians while en route to the hospital.

Larry Adams, RN, a consultant aiding nurse leaders in improving operational efficiencies, shows how artificial intelligence can help combat the nursing shortage – and aid with retention, as well.

Advancements in machine learning are enhancing new large language models' ability to undergo continuous learning and generalize to areas in which the model has not been trained – a transformative next step for AI in imaging.

"Tech CxOs' ability to insert their essential expertise into enterprise decisions will ultimately determine their organizations’ success in the AI era," a new IBM report argues.

The proposal seeks to promote more effective use of healthcare technologies by ensuring they meet standards and implementation specs adopted by ASTP/ONC.

Beyond overseeing the implementation of AI projects, CAIOs consider broader implications, such as changes to operations and culture. And they aim to ensure AI systems are developed and deployed ethically, transparently and responsibly.