Workflow

The artificial intelligence application has led to $9.3 million in claims paid that might have been denied. What's more, the tech has resulted in $871,000 in new revenue for Medicare Severity Diagnosis-Related Group payments.

Red Rover Health's platform enables clinicians to quickly and easily integrate best-of-breed tools into their workflows via APIs. The company's CEO, John Orosco, offers details.

A deep dive into care operating systems, the problems they aim to solve, and how they help improve workforce engagement and satisfaction, explained by Josh Clark, the Institute for Healthcare Improvement's VP of quality and safety operating systems.

A George Mason University expert in nurse burnout also dives into how nurse work scheduling can provide flexibility and improve workforce management and how health IT can support workplace well-being.

Kontakt.io's new agentic AI platform creates 'digital twins' of hospital operations to track patients and equipment and provide data that can help optimize workflows. CEO Philipp von Gilsa explains.

At the HIMSS AI in Healthcare Forum in Brooklyn next month, keynote speaker Tom Lawry will offer some no-nonsense perspective on the steps health systems need to take to make the most of their artificial intelligence investments.

Clinicians can accelerate digital tech adoption by identifying challenges, working with IT staff to find tools that can help and engaging key stakeholders to vet those tools, says Penn Medicine's Anna Schoenbaum.

Seventy percent of calls require no human intervention. Data is free of human error. Providers save more than two hours per day. Staff no longer are tied up on calls and patients are kept out of phone trees – no one is placed on hold.

Taking a patient history upfront via telemedicine has been very fruitful for the high-demand specialty provider. By combining history via virtual care with a then more limited in-person visit, care can be delivered more efficiently – and more patients can be seen.

Fostering a culture of transparency, accuracy, and respect for patient data may be key to fully realise AI's potential in healthcare, says a healthcare data analyst.