Clinical Trial by Harvard Pilgrim Health Care Institute, HCA Healthcare, UCI Health and CDC Identifies Strategy to Rapidly Detect and Respond to Hospital Outbreaks Using Algorithm-Driven Technology
Retrieved on:
Tuesday, April 23, 2024
Data Management, Other Health, Technology, Managed Care, General Health, Infectious Diseases, Hospitals, Clinical Trials, Other Technology, Biotechnology, Science, Software, Networks, Other Science, Research, Health, University, Hospital, Risk, CDC, University of California, HCA Healthcare, Patient safety, Fungal infection, Doctor of Science, Patient, MPH, UCI, NEJM, Harvard Medical School, Infection, Harvard Pilgrim Health Care, Doctor of Public Health, Senior advisor, COVID-19, CLUSTER, Vaccine
The large multi-state, real-world study was conducted in 82 hospitals and led by Harvard Pilgrim Health Care Institute, HCA Healthcare, University of California, Irvine (UCI) Health and the Centers for Disease Control and Prevention (CDC).
Key Points:
- The large multi-state, real-world study was conducted in 82 hospitals and led by Harvard Pilgrim Health Care Institute, HCA Healthcare, University of California, Irvine (UCI) Health and the Centers for Disease Control and Prevention (CDC).
- While hospitals and health systems work to prevent infections and reduce the opportunity for outbreaks to occur, there is no standardized approach for detecting transmission.
- Early detection can lead to a rapid response that reduces the chance for outbreaks to occur.
- “The CLUSTER trial provides evidence that early detection powered by automation tools and quick action can prevent outbreaks from growing."