Dartmouth Institute researchers are working to understand how
medical technologies and innovations in health care delivery can improve clinical care and patient outcomes.
Often, new products or practices are introduced without much, or any, evaluation of their effectiveness or their impact on health outcomes. Yet, patients and the public might assume every drug, device, or treatment being used on them has been adopted after a clinical trial process, and that it represents an improvement—or is likely to produce a better result—than current practice. The reality is that while practices and products are tested for basic safety, it is more likely that we know nothing—or very little—about the effectiveness and outcomes at all.
That's why Dartmouth Institute researchers are working to understand which interventions lead to better health for patients and better health policy for everyone. We are not only advancing the methodological approaches to prevention, diagnosis, and treatment, but also the challenge of keeping up with the ever-changing landscape of interventions and emerging technologies in medicine.
Toward this end, we constantly strive to better understand and connect people around the massive amount of available data that exists in the health care system. Using diverse data sources and methods to answer these questions, our work often combines randomized clinical trials, registries, administrative claims data, and disease modeling or cost-effectiveness analysis.
By understanding how innovations in health care and medicine are changing outcomes of care for patients and populations, we can design policies and interventions to improve outcomes. To achieve these goals, we work closely with health economists, implementation scientists, patient engagement researchers, and health providers to put our findings in context and translate them into practice.
How do medical technologies and innovations in health care delivery improve clinical care and outcomes for patients?
How are innovative medical technologies and delivery practices best used for prevention, diagnosis, and treatment of illness?
How can health information technology be used to provide individually tailored decision support for patients and their health care providers?
What methodological approaches are best for evaluating what works for disease prevention, diagnosis, treatment, and health care delivery?