Episode #46 of the Charged podcast
Departments, Centers, & Programs:
Infectious Disease Associates
100 Blossom Street
Boston, MA 02114-2696
- M.D.; Ph.D., Harvard Medical School
- Residency, Massachusetts General Hospital
- Fellowship, Massachusetts General Hospital
American Board Certifications
- Internal Medicine, American Board of Internal Medicine
- Infectious Disease, American Board of Internal Medicine
Accepted Insurance Plans
Note: This provider may accept more insurance plans than shown; please call the practice to find out if your plan is accepted.
My research addresses the clinical, operational and economic impacts of competing Infection Control strategies for important nosocomial pathogens such as methicillin-resistant Staphylococcus aureus (MRSA). This involves hospital-based clinical studies, national survey-research, as well as “dry-bench” studies using computer-based simulation modeling. Our team collaborates with colleagues with expertise in computer science and articificial intelligence on risk prediction related to hospital acquired infections. I also collaborate with colleagues on research and implementation of antibiotic allergy evaluations.
- Press Release
- Sep | 24 | 2020
Mass General Brigham study finds COVID-19 infected workers return to work faster using time and symptom-based protocols rather than repeat testing
Recently, investigators from Mass General Brigham (MGB) assessed the experience of using a test-based protocol in over 1000 infected health care workers.
- Feb | 8 | 2019
Through the glass doors of three rooms in the Medical Intensive Care Unit, teams at the MGH recently got a window into what it would look like to treat two patients for Ebola Virus Disease.
- Mar | 22 | 2019
Every day at the MGH, more than 20,000 instruments and medical devices are used in patient care. On April 1, the hospital will introduce a new purchasing process for reusable critical or semi-critical devices, such as surgical instruments and endoscopes.
- Jun | 12 | 2019
A research team from Mass General MIT, and the University of Michigan has developed a new method for predicting a patient's risk of contracting C. difficile.