The Society of Bedside Medicine, with the Gordon and Betty Moore Foundation and Johns Hopkins, sponsors a Bedside Medicine Fellows Program. The one-year fellowship provides a $35,000 stipend to support a project that promotes diagnostic excellence.
Letter of Intent deadline: December 1, 2022.
The fellowship aims to create a community of talented clinician-educators and researchers who recognize the value of the bedside encounter in improving diagnostic accuracy and overall patient care.
The one-year fellowship provides a $35,000 stipend (plus an additional $5000 for travel) to support a project at the fellow’s home institution that promotes diagnostic excellence and the reduction of diagnostic error. It is expected that the majority of the budget will be used to support protected time for the fellowship. Projects can be based in either the outpatient or inpatient setting. Priority project areas include:
- History taking and Communication
- Physical examination
- Clinical reasoning
- Shared-decision making
- Point-of-care technology
At least one aspect of the project should address issues of diversity, equity, inclusion, and justice as they apply to the bedside clinical encounter and diagnostic excellence.
Eligible candidates include junior faculty (within 5 years of their residency or fellowship training) or fellows in an ACGME-accredited academic program. Applicants must have an MD, DO, MBBS or equivalent. Candidates should identify a mentor at their local institution but will also receive direct mentorship from the Society of Bedside Medicine.
In addition to executing a specific project, candidates will participate in SBM-sponsored activities designed to foster a community of individuals dedicated to bedside medicine and diagnostic accuracy. Fellows will present their work at the annual meeting of the Society of Bedside Medicine and provide quarterly updates to the Society board.
Learn more about the Bedside Medicine Fellowship here.
SBM Announces 2nd Class of Bedside Medicine Fellows
Justin Choi (Cornell) will use a socio-cognitive approach to understand the influence of team dynamics, team-patient interactions and racial/ethnic diversity on the bedside diagnostic process.
Prathit Kulkarni (Baylor) will attempt to understand and optimize the process of telediagnosis in the evaluation of acute medical problems via telemedicine.