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Artificial intelligence has elevated the quality and efficiency of documentation, improved the completeness of that documentation and reduced charting time significantly. It has also enabled more attentive and personalized care.

At the HIMSS AI in Healthcare Forum in Brooklyn next month, keynote speaker Tom Lawry will offer some no-nonsense perspective on the steps health systems need to take to make the most of their artificial intelligence investments.

New collaborations with big tech and upcoming AI-based applications for public health took centre stage.

Fostering a culture of transparency, accuracy, and respect for patient data may be key to fully realise AI's potential in healthcare, says a healthcare data analyst.

The staff-led system has also cut down hospital record processing by 70%. 

Panissa Caldwell, RN, the health system’s director of clinical services, explains how telehealth, artificial intelligence and other tools can help nurses make the most of their educations and careers.

Small providers struggle for survival, and security risks only exacerbate the challenge. But by sharing technologies and making use of resources like virtual CISOs, some hospitals are staying ahead of their biggest closure risks.

It initially supports personalised cancer treatment based on the hospital's big clinical and genomic data.

Artificial intelligence alone is not the answer, says Charles Worthington of the U.S. Department of Veterans Affairs. Connecting AI-enabled insights like risk scoring to a larger healthcare program is what helps move the needle on outcomes.

The technology, homegrown at Stanford Medicine, allows users of its electronic health record to do voice-based queries, helping make chart reviews and other routine tasks more efficient.