Area:
categorization, causal reasoning
We are testing a new system for linking grants to scientists.
The funding information displayed below comes from the
NIH Research Portfolio Online Reporting Tools and the
NSF Award Database.
The grant data on this page is limited to grants awarded in the United States and is thus partial. It can nonetheless be used to understand how funding patterns influence mentorship networks and vice-versa, which has deep implications on how research is done.
You can help! If you notice any innacuracies, please
sign in and mark grants as correct or incorrect matches.
Sign in to see low-probability grants and correct any errors in linkage between grants and researchers.
High-probability grants
According to our matching algorithm, Benjamin M. Rottman is the likely recipient of the following grants.
Years |
Recipients |
Code |
Title / Keywords |
Matching score |
2011 — 2013 |
Rottman, Benjamin Margolin |
F32Activity Code Description: To provide postdoctoral research training to individuals to broaden their scientific background and extend their potential for research in specified health-related areas. |
Medical Decision Making: Roles of Evidence and Experience
DESCRIPTION (provided by applicant): Physicians frequently make complicated and high-stakes decisions that contradict evidence-based medical guidelines. One psychological reason may be that physicians learn from prior experiences with patients and use their prior experiences when making decisions for future patients. Though learning from prior patients may be adaptive to some extent given that evidence-based guidelines cannot identify optimal decisions for each unique patient, inappropriate reliance on experience may result in suboptimal decisions that fail to adequately incorporate available evidence. Physicians are often expected to make decisions based on guidelines and are expected not to learn from or react to prior patients when treating future patients because experience with prior patients is limited. The overarching goal of this proposal is to elucidate the cognitive and motivational processes through which prior experiences influence physicians'treatment and diagnostic testing decisions. In the first set of studies, physicians will be tracked over time to examine how previous experiences in which patients they discharged and were subsequently readmitted to the hospital influenced the physicians'decisions to discharge future patients from the hospital. This will be accomplished by analyzing an extensive database of medical records for hospitalized patients. Psychological factors such as the level of expertise of the physician, the source of prior experiences (personal experience or social transmission), and how physicians generalize knowledge from patient to patient will be examined for influences on discharge decisions. In a second set of studies examining the effects of experience on decision making, medical students, interns, and residents will engage in a series of simulated decisions about hypothetical patients who may have pulmonary embolism. Testing for pulmonary embolism involves a complicated set of decisions, and lab-based experiments will allow us to carefully examine participants'testing strategies as they change from one patient to the next. Psychological factors such as the prevalence of pulmonary embolism, the order of pulmonary embolism cases, and whether participants learn that specific symptoms predict pulmonary embolism will be examined for influences on testing strategies. Collectively, the proposed studies will elucidate psychological reasons for sub- optimal medical decisions and may suggest ways to improve medical decision-making. PUBLIC HEALTH RELEVANCE: Suboptimal clinical decision-making is a critical determinant of the efficiency and effectiveness of healthcare. The proposed project will test psychological reasons that physicians make suboptimal decisions due to their experiences with prior patients. Understanding the cognitive and motivational processes underlying clinical decision-making is necessary for facilitating decision-making in agreement with evidence-based guidelines.
|
0.97 |