Artificial Intelligence
At the new C-suite-focused event, held earlier this month in Chicago, attendees spoke about the unique conversations they've had with each other, and about the successes and challenges of deploying artificial intelligence in healthcare.
One AI tool enables rapid assessment of coronary artery disease location and severity; another telehealth service focuses on improving cardiovascular health through nutrition.
Successful AI adoption starts with choosing leaders who will champion the technology and engage their frontline teams to use the tools and provide feedback, says HIMSS digital health strategist Jill Seys.
"We're building a plane and flying it at the same time," said Christopher Kunney on what's happening with AI.
eClinicalWorks showcased a series of artificial intelligence tools it says are all aimed at improving the relationships between doctors and patients, and billing departments and healthcare consumers.
Rosha Pokharel, CEO and founder of SolvDat, says it's key to consider the business case, the feasibility to build as it relates to data and adoption and, thirdly, whether you have the right skills and team in place.
Healthcare organizations should join federal 'sandboxes' to help shape policy, prepare the workforce, and stay on top of compliance and ethics as artificial intelligence evolves, says Lora Sparkman, VP of patient safety and quality at Relias.
Also, the Chinese University of Hong Kong is leading the creation of a globally representative foundational AI in healthcare using 100 million retinal images.
The health network is saving clinicians 1-2 hours per week and reducing their cognitive burden. Further, 70% of physicians report increases in patient satisfaction, and most clinics typically see 1-3 additional patients daily.
The health system is finding success with predictive models and LLMs and is "eager to understand and leverage" more advanced use cases, while ensuring they're "safe, secure, ethical and unbiased," says Chief Analytics Officer Kerri Webster, RN.