beth israel deaconess medical center a harvard medical school teaching hospital

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Hospital Medicine Research

Hospital Medicine Research encompasses a wide range of research aimed at improving the inpatient hospital care continuum. From the moment that a patient is admitted, up until the time of discharge, opportunities exist to improve patient care outcomes. Investigators within the Division are conducting studies with the goal of giving hospital clinicians greater tools for the proactive prevention of common medical complications within the hospital environment. The end state of this research will be a safer, smarter, and more efficient patient-centric continuum of care. Below is a sampling of the Division's ongoing work in this area.

Inpatient Medication Utilization

Research into inpatient medication utilization focuses on discerning connections between patterns of medication usage and patient care results. Dr.  Shoshana Herzig has investigated the associative relationship between acid-suppressive medication and hospital-acquired pneumonia in non-critically ill medical inpatients. Dr. Herzig's current research aims to determine whether sedative medication also represents a similar potentially modifiable risk factor for hospital-acquired pneumonia, with the goal of identifying and ultimately reducing patient risk for this complication.

Clinical Predictive Guidelines

Clinical predictive guidelines enable clinicians to quickly identify, diagnose, and prevent patient health complications in the hospital setting. Dr. Ed Marcantonio, head of the Division's research program, has conducted extensive work into clinical prediction rules for the onset of delirium after non-cardiac and cardiac surgery, hip fracture repair, and post-acute care. Dr. Marcantonio's research has also identified meperidine as a major risk-factor biomarker for postoperative delirium. His current work focuses on the discovery of additional biomarkers that may serve as risk factors for delirium, along with developing a clinical diagnostic interview for delirium that will enable more accurate prediction for this complication.