Decision Support

Population health tech experts from Enli Health, Epic and Optum showcase best practices for making the IT work best at healthcare provider organizations.

The automated platform works by reading and collecting patient data, with minimal manual input, thereby accelerating the screening process.

In New York City, the health system is harnessing AI to help its patient population understand CDC guidelines and its own communications.

The app – accessed by texting "COVID" to 64722 – enables New York City residents to easily enroll to help the health system monitor coronavirus symptoms across the five boroughs, informing care decisions and pointing the way toward possible cures.

Uploaded temperature readings from a million Kinsa Health devices are enabling the company to map atypical fevers, offering a potential warning of increases in virus infections.

"EHR disaster preparedness testing in the future will need to be able to simulate large volumes of patients over long periods of time," says one nursing informatics consultant.

New functionality helps healthcare teams identify, track and isolate the community spread of COVID-19.

The map identifies populations likely to experience severe outcomes once infected – and the socioeconomic drivers for such a risk, helping providers allocate resources.

This implementation complements the existing use of Alcidion’s Patientrack solution and is the first step in a five-year agreement.

Accurate outbreak data reporting depends on a robust, standards-based and interoperable information infrastructure. We still have a long way to go.