Bill Siwicki

By year's end, staff expect to see a reduction in time spent on manual tasks and a reduction in duplicative research data generation leading to an overall reduction in ongoing operational costs.

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.

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.

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.

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.

Therapists at the mental health provider are quite happy with the results – mean time to complete documentation has improved by 75%. Some therapists say they would think twice about leaving WellPower because of the AI technology.

Explainable AI aims to make models more interpretable and transparent, ensuring their decision-making processes can be understood and trusted by clinicians and others.

Artificial intelligence is helping improve remote patient monitoring technology, with especially promising applications focused on diabetes. One CEO discusses the quality and cost-efficiency promise of "the next generation of remote care."

Cerebral has decreased time spent on audits by 78% and has seen an even bigger improvement in meeting critical insurance criteria. The technology offers precise data feedback that could be missed in manual auditing, an exec says.