Patient Safety Commons^™

The Mrna-Lnp Vaccines - The Good, The Bad And The Ugly?, Botond Z. Igyártó, Zhen Qin

Department of Microbiology and Immunology Faculty Papers

The mRNA-LNP vaccine has received much attention during the COVID-19 pandemic since it served as the basis of the most widely used SARS-CoV-2 vaccines in Western countries. Based on early clinical trial data, these vaccines were deemed safe and effective for all demographics. However, the latest data raise serious concerns about the safety and effectiveness of these vaccines. Here, we review some of the safety and efficacy concerns identified to date. We also discuss the potential mechanism of observed adverse events related to the use of these vaccines and whether they can be mitigated by alterations of this vaccine mechanism …

Early Immersion In Team-Based Event Review: Experiential Patient Safety Education For Pgy 1 Internal Medicine Residents, Michelle Perkons, Alexis Wickersham, Sonia Bharel, Timothy Kuchera, Rebecca Jaffe

Department of Medicine Faculty Papers

INTRODUCTION: In recent years, there has been a national push to incorporate high-fidelity quality improvement and patient safety (QIPS) education into physician training programs. In fact, integration of robust patient safety education became an Accreditation Council for Graduate Medical Education (ACGME) Common Program Requirement for residency programs in 2017. We developed a curriculum to not only fulfill the ACGME's requirement but also provide PGY 1 internal medicine residents with the skills needed to become active participants in ongoing patient safety work throughout their training and careers.

METHODS: Our patient safety curriculum was woven into residents' existing protected educational time and …

Evaluating The Efficacy Of Chatgpt In Navigating The Spanish Medical Residency Entrance Examination (Mir): Promising Horizons For Ai In Clinical Medicine., Francisco Guillen-Grima, Sara Guillen-Aguinaga, Laura Guillen-Aguinaga, Rosa Alas-Brun, Luc Onambele, Wilfrido Ortega, Rocio Montejo, Enrique Aguinaga-Ontoso, Paul Barach, Ines Aguinaga-Ontoso

Department of Medicine Faculty Papers

UNLABELLED: The rapid progress in artificial intelligence, machine learning, and natural language processing has led to increasingly sophisticated large language models (LLMs) for use in healthcare. This study assesses the performance of two LLMs, the GPT-3.5 and GPT-4 models, in passing the MIR medical examination for access to medical specialist training in Spain. Our objectives included gauging the model's overall performance, analyzing discrepancies across different medical specialties, discerning between theoretical and practical questions, estimating error proportions, and assessing the hypothetical severity of errors committed by a physician.

MATERIAL AND METHODS: We studied the 2022 Spanish MIR examination results after excluding …

Communication Of Patients’ And Family Members’ Ethical Concerns To Their Healthcare Providers, Mariam Noorulhuda, Christine Grady, Paul Wakim, Talia Bernhard, Hae Lin Cho, Marion Danis

Student Papers, Posters & Projects

BACKGROUND: Little is known about communication between patients, families, and healthcare providers regarding ethical concerns that patients and families experience in the course of illness and medical care. To address this gap in the literature, we surveyed patients and family members to learn about their ethical concerns and the extent to which they discussed them with their healthcare providers.

METHODS: We surveyed adult, English-speaking patients and family members receiving inpatient care in five hospitals in the Washington DC-Baltimore metropolitan area from July 2017 to March 2020. Descriptive statistics were used to determine the frequency, comfortableness, and helpfulness of discussions regarding …

Improving Bedside Procedural Safety Through Optimizing Timeout Documentation And A Pre-Procedure Checklist, Jennifer Harris, Md, R. Benson Jones, Md, Kristin Lohr, Md, Grant Turner, Md, Drew Kotler, Md, Justine Blum, Md, Megan Margiotta, Md, Matthew Bokhari, Md, Erica Li, Md, Riti Kanesa-Thasan, Md, Bracken Babula, Md, Rebecca Jaffe, Md

Department of Medicine Posters

Aim

GOAL: Improve the safety of patients undergoing bedside procedures while maintaining the full spectrum of graduated autonomy in procedure training for residents.

SMART Aim: Increase the rate of timeouts documented for bedside procedures from 29% to 50% by June 2018.