Artificial Intelligence

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.

Enhance accuracy while keeping humans focused on clinical decisions.

In this webinar, Intake leaders from three US Healthvest facilities share their experiences in addressing administrative bottlenecks associated with referral management.

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.

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.

In just 10 months, the analytics initiative helped the hospital rack up nearly 700 hours of productivity saved for clinicians, nurses, administrators and staff. It's also fostered safer surgical environments with fewer surgical site infections.