The machine solution was developed by healthcare technology company Jvion. The company’s cognitive machine solution uses artificial intelligence to help providers predict a patient’s health risks and how to prevent them.
“Over the last 18 months, we have seen a sustained 20 percent drop in readmission rates,” said Paul Hiltz, CEO at Mercy Medical Center. “This drop and the improvements in quality that we have realized are attributed to the implementation of Jvion’s Cognitive Machine and the commitment of our staff to continually improve the patient care experience.”
The cognitive machine outputs are integrated into Mercy Medical Center’s EHR and clinical workflow. Bedside nurses and care coordinators access patient-specific insights on readmission risk, the factors that drive that risk and the interventions that will have the most significant effect on reducing readmissions. These insights are documented by clinicians, who use the cognitive machine’s insights to create individualized care and discharge plans.
The hospital plans to use the cognitive machine to decrease no-show appointments at their ambulatory clinics and reduce avoidable admissions.
More articles on clinical leadership & infection control:
Sutter Health to offer free symptom-checking chatbot service
University of California to receive CRISPR patent
Anti-vaxxers’ kids seek ways to get immunizations on their own
