Analytics
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 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.
SPONSORED
Enhance accuracy while keeping humans focused on clinical decisions.
SPONSORED
In this webinar, Intake leaders from three US Healthvest facilities share their experiences in addressing administrative bottlenecks associated with referral management.
SPONSORED
NSCHI is implementing a full suite of Concord Practical AI™ solutions that will create flexible, customized pathways for document classification and data extraction and delivery.
SPONSORED
Healthcare organizations (HCOs) continue to face business challenges such as escalating costs, personnel turnover and the difficulty of querying and electronically receiving unstructured patient data.
Good governance builds trust for staff to give up the tasks they thought were critical to their jobs.
Attendees at the inaugural forum, focused on the healthcare C-suite, are pursuing different projects and are at different stages of artificial intelligence maturity. All are aiming to maximize their AI investments for true enterprise-wide value.
At Healthcare 2030, panelists highlighted successful programs at the VA and other government agencies that included integrating digital tools like remote monitoring and AI scribes.

