Bill Siwicki

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.

Advancing "techquity" demands that providers be all in with collaboration, transparency and inclusivity, says Andrew Hamilton, RN – who offers insights about public health surveillance and the collection and use of social care needs data.

With the digital intake process, 70% of patients now complete their intake forms within 10 minutes. This efficiency has saved staff approximately 10 minutes per appointment, allowing them to focus more on patient care rather than paperwork.

"Medicare is a trend setter. By legitimizing these treatments within the Medicare system, it sets a precedent for other insurers to follow suit, potentially transforming the landscape of mental healthcare delivery," Digital Therapeutics Alliance CEO says.

"Telehealth already has proven its value in increasing access to care – but paired with effective, responsible AI usage, it holds the promise of more efficient, effective and personalized mental health services," a telepsychiatry provider CEO says.

From the custodian to the CEO, everyone is required to take a homegrown course – created with generative artificial intelligence – to prepare for transformation coming to healthcare, the VP of planning explains.

A health tech CEO offers guidance on investment in analytics and IT infrastructure to accelerate the transition to VBC, strategies to get clinician buy-in, and how tech can be used to compare pricing on a market-by-market basis.

Providers should push hard to maximize the use of generative AI and natural language processing tools – but validate performance for each system rigorously before making it available for widespread use, a physician author says.