As healthcare organizations consider the next level of innovation, the focus must shift towards productizing patient outcomes while harnessing the power of Responsible AI.

The progress being made to incorporate generative AI into all aspects of healthcare could be seen and heard throughout the halls at HIMSS24.

“Creating Tomorrow’s Health” is the theme of HIMSS24, a global conference, and figuring out how to move AI from pilots to deployment will take center stage.

Erik Barnett outlines five areas within healthcare and life sciences where the U.S. executive order and federal support for responsible AI principles could impact deployment of generative AI in the U.S.

The use case for remote patient monitoring and AI ushers in a new era of healthcare that’s patient-centered, data-driven, and cost effective, fostering better health outcomes, convenience, and financial sustainability across the healthcare ecosystem.

Although the healthcare industry has traditionally been a technology laggard, the sentiment is changing as many health system leaders see AI and machine learning as an opportunity to be pioneers.

According to Avanade’s Rob Hazelton, Global Industry Lead, Healthcare & Life Sciences, the main ‘buzz’ at HIMSS23 could be summed up in two letters – AI.

By incorporating Avanade X principles, we can help organizations improve their employees’ experience in meaningful, human-centered ways that truly matter to them.

The potential in health and life sciences for ChatGPT and open AI, more generally called generative AI, is enormous, but like any other technology, we need to identify how to leverage it and how to get started.

Remote patient monitoring is more used in modern medicine than ever before but without RPM privacy and security controls, patient data may be compromised. Read 3 tips to improve security.