Are you hearing 🦻 what I'm saying 🗣️ ? This #JGIM #QualitativeResearch study out of University of Pittsburgh School of Medicine #GIM RAND shows that review of systems forms are inconsistently operationalized and defined. Discordance exists between physicians and laypersons. The forms create additional burden for individuals involved in care delivery and could be replaced. Natalie Ernecoff Janel Hanmer Full text ⬇️: https://rdcu.be/ebyg2
JGIM Journal of General Internal Medicine
Hospitals and Health Care
A comprehensive journal that matches the broad scope of general internal medicine (GIM).
About us
The Journal of General Internal Medicine (JGIM) is a comprehensive journal that matches the broad scope of general internal medicine (GIM). It aims to promote advancements in clinical and health services research, medical education, and clinical practice in primary care, general internal medicine, and hospital medicine. Official Journal of the Society of General internal Medicine (SGIM) Focused on topics in clinical general medicine, epidemiology, disease prevention, equity in health care delivery, advancing medical education and curriculum development in internal medicine An efficient and rigorous peer review ensures content quality and provides expert guidance for clinicians, educators and researchers in internal medicine Explores numerous other non-traditional themes, narrative medicine, and innovative methods as they apply to GIM This is a transformative journal, you may have access to funding. Co-Editors-in-Chief Joseph Conigliaro, Lenny Lopez, D Michael Elnicki Journal Impact Factor 4.3 (2023) 5-year Journal Impact Factor 5.3 (2023) Submission to first decision (median) 8 days Downloads 3,720,437 (2023)
- Website
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https://link.springer.com/journal/11606
External link for JGIM Journal of General Internal Medicine
- Industry
- Hospitals and Health Care
- Company size
- 11-50 employees
- Type
- Nonprofit
- Specialties
- General Internal Medicine, Research, Patient Care, and Medical Education
Updates
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Lead aVR: Forget Me Not. What's the #EKG telling you? ST elevation in lead aVR with concomitant widespread ST depression – think multivessel disease, acute left main, proximal LAD, or RCA occlusion, and AVRT! Read in #JGIM: https://rdcu.be/ebyiP
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In this #JGIM paper out of Sunnybrook, steve shadowitz et al report that road traffic crashes cause substantial death and disability in the US yet safety counseling by doctors is lacking for understandable reasons. #TrafficSafety Read the full paper: https://rdcu.be/d8UiE
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This paper in #JGIM from Robert Gallo Paul Heidenreich Stanford University School of Medicine Palo Alto VA Hospital helps answer that age old question: What should we do about the patient's #Metformin during this admission? Read the full text: https://rdcu.be/d8Udc
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This #JGIM #OriginalResearch study by Alex Makhnevich Liron Sinvani Northwell Health highlights: 🟢 Need for standardizing #dysphagia management 🟢 Importance of addressing goals of care 🟢 Education on the risks/benefits of dysphagia diets & PEG tubes Full text ⬇️: https://rdcu.be/d8Uf7
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JGIM Journal of General Internal Medicine reposted this
🚨 I am so exited to share that our paper is out on implementing AI and an easy approach to mitigate bias! This has been a long time coming. Our population health, equity, and IT team started years ago to develop BE-FAIR, the Bias-reduction and Equity Framework for Assessing, Implementing, and Redesigning healthcare predictive models. ✨ Previous approaches lack real-world application and specificity to health system implementation, BE-FAIR is an applied framework for responsible artificial intelligence (AI) tested in a large health system. ✨ Bottom line, transparency revealed subgroups with disparate performance in the risk model, and further identified ways to mitigate potential bias through adjustment in workflows. Background: For patients with complex health conditions, population health programs across the country use healthcare predictive models to determine which patients are most in need of scarce resources. Despite increasing use, models are not consistently evaluated for bias that may exacerbate health disparities. BE-FAIR: 💠 Applies an anti-racism lens, de-siloed team structure, historical intervention review, disaggregated data analysis, and calibration evaluation. 💠 Offers a practical approach to address bias in healthcare predictive models, guiding model development, and implementation. 💠 By identifying and mitigating biases, BE-FAIR enhances the fairness and equity of healthcare delivery, particularly for minoritized groups, paving the way for more inclusive and effective population health strategies. 💠 We identified systematic way to improve workflows in raw data collection and implementation outreach threshold that could be adjusted to reduce potential bias. So useful! #BEFAIR #AI #AIequity #populationhealth #implementation #appliedframework University of California UC Davis Health JGIM Journal of General Internal Medicine Hendry Ton Jason Adams Jeffrey Hoch Sandy Taylor Daniel Tancredi Mayu Sasaki, MPH, PMP Matthew Crase Yi Zhang Sili Fan Nasim Afsar, MD MBA MHM Tina Shah MD MPH Shantanu Nundy Marshall Chin Arlene Bierman Christine Chang Caleb J. Colón Rodríguez, DrPH, MHSA Malika Fair William Jordan
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Shah and Fiala discovered that inequities in accessing #EHR patient portals have either intensified or stayed the same for several marginalized communities. #HealthEquity #DigitalDivide Mark Fiala Read in #JGIM: https://rdcu.be/d7XvU
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Exercises in #ClinicalReasoning: How did a colon hematoma (at the side of colonoscopic biopsy) relate to the final diagnosis for a man with chronic diarrhea, unintentional weight loss, hypotension, and an elevated alkaline phosphatase? Can you solve this puzzle? Test yourself in #JGIM: https://rdcu.be/d8S5Q Andre Sofair
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Academic #coaching boosts residents' success! 🎓📈 A new study shows significant exam score improvements for those in coaching sessions, fostering self-directed learning and personalized strategies. Empowering residents for lifelong learning! #MedEd Does your program offer coaching to your residents? What does the system look like? Read more from Dr. Kathryn Burtson, Dr. Holly Meyer Uniformed Services University in #JGIM: https://rdcu.be/eaG4M
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A recent University of California, San Francisco study shows that federal regulatory changes ease the #documentation burden on #PrimaryCare physicians and enables them to achieve more meaningful clinical reporting. Natalya Maisel Julia Adler-Milstein Read in #JGIM: https://rdcu.be/eaGzn
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