Objective: Annual program evaluations are important activities of all graduate medical education programs. Although the Accreditation Council for Graduate Medical Education provides general guidelines, there is substantial scope for educational innovation. Strengths, opportunities, aspirations, and results (SOAR) is a strengths-based framework for strategic planning. Because SOAR emphasizes positivity and engagement, it is an appealing framework for evaluating graduate medical education programs. Our objective was to demonstrate the feasibility and acceptability of SOAR in a program evaluation committee of a fellowship program to generate strategic initiatives.
Methods: The authors used the four steps of SOAR within the program evaluation committee in 2022. Interviewers collected positive stories to understand program strengths. Then, rapid ideation was used to translate strengths into opportunities. These opportunities were condensed and refined for fellows to assess how well they align with aspirations. The ones that aligned best with aspirations were prioritized for implementation. Results were monitored through a scorecard based on specific, measurable, achievable, relevant, and time-bound (SMART) goals every month.
Results: Of 15 divisional members, 11 participated (73.3%). Five major strengths were identified: supportive environment, variety of cases, scheduling flexibility, integration with larger networks, and multidisciplinary collaboration. These 5 yielded 15 opportunities, which were refined and condensed to 9. Four were selected for implementation: scholarly works accountability group, hybrid-flex curriculum, fellowship weekly huddles, and structured electives. Scorecards have shown successful implementation during a 4-month period.
Conclusions: SOAR is an innovative and feasible approach to program evaluation that uses trainee engagement to translate and synergize existing program strengths into actionable program improvement.
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http://dx.doi.org/10.14423/SMJ.0000000000001606 | DOI Listing |
Ann Phys Rehabil Med
January 2025
Physical and Rehabilitation medicine Department, Raymond Poincaré Hospital, GHU Paris Saclay, APHP, 104 Bld Raymond Poincaré, Garches, France; End: icap laboratory, Inserm Unit 1179, UVSQ, 2 Av. de la Source de la Bièvre, Montigny-le-Bretonneux, France.
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Med Image Anal
January 2025
Department of Electrical and Computer Engineering, College of Information and Communication Engineering, Sungkyunkwan University, Suwon, 440-746, South Korea. Electronic address:
This study introduces HCC-Net, a novel wavelet-based approach for the accurate diagnosis of hepatocellular carcinoma (HCC) from abdominal ultrasound (US) images using artificial neural networks. The HCC-Net integrates the discrete wavelet transform (DWT) to decompose US images into four sub-band images, a lesion detector for hierarchical lesion localization, and a pattern-augmented classifier for generating pattern-enhanced lesion images and subsequent classification. The lesion detection uses a hierarchical coarse-to-fine approach to minimize missed lesions.
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January 2025
Center for Computational and Integrative Biology, Rutgers University, Camden, NJ 08102, USA; Department of Computer Science, Rutgers University, Camden, NJ 08102, USA.
Recent developments in single-cell analysis have revolutionized basic research and have garnered the attention of the forensic domain. Though single-cell analysis is not new to forensics, the ways in which these data can be generated and interpreted are. Modern interpretation strategies report likelihood ratios that rely on a model of the world that is a simplification of it.
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January 2025
In vitro Toxicology and Biomedicine, University of Konstanz, Konstanz, Germany.
Acta Med Philipp
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Department of Pharmacology and Toxicology, College of Medicine, University of the Philippines Manila, Manila, Philippines.
Background And Objective: Scabies is the second most common cause of disability due to skin disease in the Philippines. However, there were no cited studies in Global Burden of Disease 2019 and the disability-adjusted life years (DALY) computations were most likely based on statistical modelling. The Philippine Department of Health has embarked on a program to estimate the disease burden of priority diseases in the country, which include scabies.
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