Healthcare-Associated Infections Research

Dr. Richard Platt

Dr. Platt’s research focuses on the epidemiology, consequences, and prevention of nosocomial infections, on infectious diseases in the community setting, and on pharmacoepidemiology. Much of his current work involves the use of the defined populations of large health care systems, their extensive and often automated data, and their ability to make system-wide interventions. He leads a CDC Prevention Epicenter, the FDA Mini-Sentinel Program, which performs safety evaluations of marketed medical products using electronic health data covering 150 million people, and the coordinating center for Patient Centered Outcomes Research Institute's National Clinical Research Network, PCORnet.

Dr. Deborah Yokoe

Dr. Yokoe’s research has focused on developing more reliable and efficient methods for detection of healthcare-associated infections. She has also made substantial contributions to the identification of community-acquired infections of public health importance such as tuberculosis and sexually transmitted diseases. She is co-chairing a national taskforce to update evidence-based guidelines for prevention of healthcare-associated infections.

Dr. Michael Klompas

Dr. Klompas is a national leader in the study of ventilator-associated pneumonia (VAP). He led efforts to develop the new CDC definition of VAP that is now being used by all U.S. hospitals. In addition, he has developed an electronic system that automatically identifies and reports modifiable diseases from clinicians’ electronic medical record data in order to identify these diseases from electronic record data with high accuracy. This surveillance system has been adopted by Metro Health in Ohio; four additional installations of this surveillance system are currently underway in Massachusetts.

Dr. Michael S. Calderwood

Dr. Calderwood has worked to improve national surveillance capabilities for surgical site infections (SSIs), leading multicenter and national studies assessing methods to improve SSI detection using administrative claims. He collaborates with AHRQ, CDC, and CMS to improve the accuracy and validity of publically reported SSI data used for inter-hospital comparison and value based purchasing. He has also been evaluating the impact of Medicare’s policy of adjusting payment for healthcare-associated infections on health outcomes in U.S. hospitals, and working with the Institute for Healthcare Improvement evaluating the impact of a multi-modal network used to spread an SSI prevention bundle. Finally, he is a co-investigator in the CDC Prevention Epicenters program, leading a study aimed at identifying host and pathogen factors that predict progression from colonization to invasive disease with methicillin-resistant Staphylococcus aureus.

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