Effective Research Strategies for Trainees in Internal Medicine Residency Programs.

Prim Care Companion CNS Disord

Departments of Psychiatry and Internal Medicine (Dr Sansone), Wright State University School of Medicine, Dayton, Ohio; Department of Psychiatry Education, Kettering Medical Center, Kettering, Ohio (Dr Sansone); Department of Psychology, Columbia College, Columbia, South Carolina (Dr Wiederman); and Sycamore Primary Care Center, Kettering Medical Center, Kettering, Ohio (Dr Sawyer).

Published: July 2015

For most training programs, the development of research endeavors among trainees is an ongoing challenge. In this article, we review various considerations when attempting to undertake research activities within an internal medicine residency training program, including availability of institutional resources (eg, dedicated research time for trainees and faculty, available faculty mentors, accessible adjunctive personnel), engagement of residents into research, classic project quagmires in training programs, the institutional review board, publication options (eg, letters to the editor, case reports, literature reviews, original research reports), and journal submission strategies. Given that research entails multiple components and distinct skills, the overall program goal should be to make research an educationally understandable process for trainees. Research can be a rewarding activity when nurtured in a facilitating educational environment.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4468886PMC
http://dx.doi.org/10.4088/PCC.14r01712DOI Listing

Publication Analysis

Top Keywords

internal medicine
8
medicine residency
8
training programs
8
effective strategies
4
trainees
4
strategies trainees
4
trainees internal
4
residency programs
4
programs training
4
programs development
4

Similar Publications

Multilayer network analysis in patients with end-stage kidney disease.

Sci Rep

December 2024

Department of Internal Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Haeundae-ro 875, Haeundae-gu, Busan, 48108, Republic of Korea.

This study aimed to investigate alterations in a multilayer network combining structural and functional layers in patients with end-stage kidney disease (ESKD) compared with healthy controls. In all, 38 ESKD patients and 43 healthy participants were prospectively enrolled. They exhibited normal brain magnetic resonance imaging (MRI) without any structural lesions.

View Article and Find Full Text PDF

Vertebral collapse (VC) following osteoporotic vertebral compression fracture (OVCF) often requires aggressive treatment, necessitating an accurate prediction for early intervention. This study aimed to develop a predictive model leveraging deep neural networks to predict VC progression after OVCF using magnetic resonance imaging (MRI) and clinical data. Among 245 enrolled patients with acute OVCF, data from 200 patients were used for the development dataset, and data from 45 patients were used for the test dataset.

View Article and Find Full Text PDF

Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is associated with potentially severe toxicity and high costs. Accurate biomarkers for response are lacking. The present work is the first to investigate the value of deep learning on CT imaging of metastatic lesions for predicting ICI treatment outcomes in advanced melanoma.

View Article and Find Full Text PDF

With breakthroughs in Natural Language Processing and Artificial Intelligence (AI), the usage of Large Language Models (LLMs) in academic research has increased tremendously. Models such as Generative Pre-trained Transformer (GPT) are used by researchers in literature review, abstract screening, and manuscript drafting. However, these models also present the attendant challenge of providing ethically questionable scientific information.

View Article and Find Full Text PDF

Factors affecting fatigue progression in multiple sclerosis patients.

Sci Rep

December 2024

Nehme and Therese Tohme Multiple Sclerosis Center, American University of Beirut Medical Center, Riad El-Solh, PO Box 11-0236, 1107 2020, Beirut, Lebanon.

Fatigue is one of the most prevalent and disabling symptoms among patients with MS, but there is limited research investigating the longitudinal determinants of fatigue progression. This study aims to identify the sociodemographic, behavioral and clinical characteristics, and therapeutic regimens that are correlated with worsening fatigue over time in patients diagnosed with MS. This is a retrospective chart review of 483 patients.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!