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ORLANDO, FL – The Centers for Disease Control and Prevention, GE Healthcare and the Alliance of Chicago Community Health Services are collaborating on a project to test the efficacy of actionable health alerts delivered to a physician's electronic medical record.
Officials made the announcement last month at HIMSS11 in Orlando, Fla., saying the project would begin with a six-month study to determine whether the alerts are triggered often enough or too often, and whether doctors take the advice displayed in them.
The study will use GE Healthcare's Medical Quality Improvement Consortium (MQIC) database, which holds more than 17 million de-identified patient records.
The Alliance of Chicago Community Health Services, with participation from the Chicago Department of Public Health, has developed and implemented a use case for the pilot program since 2009.
“There’s a real opportunity here to more seamlessly contribute to – and benefit from – public health surveillance at the point of patient care,” said Fred Rachman, CEO of the alliance. “If this is successful and we’re able to deliver instant, actionable health alerts, we can intervene more rapidly at the individual patient level and more effectively contain communicable outbreaks. This type of rapid dissemination of relevant, up-to-the-minute information to clinicians at the point of care is a model. It demonstrates how public health-oriented clinical decision support could enable us to manage disease more effectively at an earlier stage. It could impact lifespan and quality of life at a global level.”
Mark Dente, the chief medical informatics officer for GE Healthcare IT, explained how the alerts will work.
"When a physician is seeing a patient, she just punches the data in as she normally would,” he said. “The real work happens behind the scenes.”
Once the data is entered, it’s de-identified and transmitted to an archive, where it’s measured against a disease profile and, when a suitable match is found, the relevant alert is issued and appears on the doctor’s EMR display, Dente said.
“Our first use case explores foodborne illness – and CDC estimates there are 48 million cases of it in the U.S. alone each year,” Dente said. “As symptoms are captured by the computer, CDC matches them to patients reporting the same symptoms in a concentrated area – and a public health alert is issued. We could potentially reduce full days off the typical time needed to disseminate a public health alert, potentially saving lives. This is an incredibly exciting effort.”
“The adoption rate for EMR systems is increasing and public health needs to leverage data from these systems,” said Nedra Garrett, director of the CDC’s Division of Informatics Practice, Policy and Coordination. “Providing public health information to providers at the point of care based on presenting symptoms of the patient is a big leap forward.”
