Workflow

Megan Zakrewsky, Veradigm's VP of product for clinical data exchange, says that in automating payer data exchange and reducing clinician desktop crowding, the EHR is also eliminating patient care gaps by up to 80%, based on larger provider groups.

The reimagined ambulatory electronic health record system is designed to offer artificial intelligence capabilities that help with data-driven clinical decision support and reduce burdensome documentation, the company says.

Ismelda Garza, chief information officer at Cuero Regional Hospital, is fresh off of a Meditech deployment and now fully into the optimization phase. She discusses the importance of working with clinicians and consultants, keeping momentum up after go-live, and much more.

Mount Sinai researchers used a clinical and biomedical text processing model at six hospitals to analyze triage data and reliably predict hospital admissions.

Gold Coast Health has found a way to digitise workflows while maintaining legacy systems.

Artificial intelligence has helped the organization reduce its rehospitalization rate, identify declines in activities of daily living earlier and engage therapy sooner. Fall reduction efforts are also moving in the right direction.

Evidence-based solutions are already available and even applicable to smaller health settings, according to Dr Jenny Shao, chief medical officer at GuidelineX.

It can be a challenge to find AI tools that work, says Josh Wymer, chief health information & data strategy officer in the Missouri Department of Health and Senior Services, who discusses the importance of taking a unified approach to deployment.

Narayana Health has also reduced administrative workload by over 50%.

Punit Soni's company is a major player in this area of artificial intelligence. Here he gives advice to healthcare CAIOs, CIOs and other IT leaders implementing the systems – and to doctors and nurses using them. He sees significant changes coming to healthcare over the next five years.