A5084506735- Clinical Reasoning and Diagnostic Skills
- Innovations in Medical Education
- Radiology practices and education
- Artificial Intelligence in Healthcare and Education
- Electronic Health Records Systems
- COVID-19 and healthcare impacts
- Empathy and Medical Education
- Machine Learning in Healthcare
- Patient Safety and Medication Errors
- Biomedical Text Mining and Ontologies
- Healthcare Systems and Technology
- Diversity and Career in Medicine
- COVID-19 Clinical Research Studies
- Cancer Diagnosis and Treatment
- Clinical practice guidelines implementation
- Surgical Simulation and Training
- COVID-19 and Mental Health
- Interprofessional Education and Collaboration
- Family and Patient Care in Intensive Care Units
- Social Media in Health Education
- Medical Education and Admissions
- Healthcare cost, quality, practices
- Respiratory Support and Mechanisms
- Gastroesophageal reflux and treatments
- Helicobacter pylori-related gastroenterology studies
New York University
2008-2024
Health Innovations (United States)
2024
Bellevue Hospital Center
2008-2021
NYU Langone Health
2021
Despite evidence of socio-demographic disparities in outcomes COVID-19, little is known about characteristics and clinical patients admitted to public hospitals during the COVID-19 outbreak.To assess demographics, comorbid conditions, factors associated with critical illness mortality among diagnosed at a hospital New York City (NYC) first month outbreak.Retrospective chart review NYC Health + Hospitals / Bellevue Hospital from March 9th April 8th, 2020.A total 337 were study period. Primary...
Verity Schaye currently has work funded by the NBME Stemmler fund on use of AI in assessment: Development and Validation a Machine Learning Model for Automated Workplace-Based Assessment Resident Clinical Reasoning Documentation. The other author declares no conflict interest.
In the spring of 2020, New York City became epicenter Covid-19 pandemic in United States. During peak from March 10 to May 1, hospitals Department Medicine at University Grossman School — including an academic, private hospital a community setting, hospital, affiliated public and Veterans Affairs federal cared for more than 5,000 hospitalized patients with Covid-19. Each encountered unique challenges based on its own resources, affiliations, size, patient populations. However, ongoing...
Residents receive infrequent feedback on their clinical reasoning (CR) documentation. While machine learning (ML) and natural language processing (NLP) have been used to assess CR documentation in standardized cases, no studies described similar use the environment. The authors developed validated using Kane's framework a ML model for automated assessment of quality residents' admission notes. Internal medicine subspecialty fellows' notes at one medical center from July 2014 March 2020 were...
Abstract Medical education assessment faces multifaceted challenges, including data complexity, resource constraints, bias, feedback translation, and educational continuity. Traditional approaches often fail to adequately address these issues, creating stressful inequitable learning environments. This article introduces the concept of precision education, a data-driven paradigm aimed at personalizing experience for each learner. It explores how artificial intelligence (AI), its subsets...
Over the last decade there has been tremendous growth in development of accelerated MD pathways that allow medical students to graduate three years. Developing an pathway program requires commitment from and faculty with intensive re-thinking altering curriculum ensure adequate content achieve competency timeline. A re-visioning assessment advising must follow application AI new technologies can be added support teaching learning. We describe curricular revision at NYU Grossman School...
<title>Abstract</title> <bold>Background</bold> Objective measures and large datasets are needed to determine aspects of the Clinical Learning Environment (CLE) impacting resident performance. Artificial Intelligence (AI) offers a solution. Here, authors sought what CLE might be performance as measured by clinical reasoning documentation quality assessed AI. <bold>Methods</bold> In this observational, retrospective cross-sectional analysis hospital admission notes from Electronic Health...
Introduction: Educators have theorized that interventions grounded in dual process theory (DPT) and script (ST) may improve the diagnostic reasoning of physicians but little empirical evidence exists. Methods: In this quasi-experimental study, we assessed impact a clinical (CR) curriculum DPT ST on medicine residents participating one three groups during 6-month period: no, partial, or full intervention. Residents completed thinking inventory (DTI) at baseline 6 months. At months,...
Abstract Background Clinical reasoning (CR) is a core competency in medical education. Few studies have examined efforts to train faculty teach CR and lead curricula schools residencies. In this report, we describe the development preliminary evaluation of workshop grounded theory. Methods Twenty-six medicine (nine hospitalists 17 subspecialists) participated that introduced framework using an interactive, case-based didactic followed by role-play exercises. Faculty pre- post-Group Observed...
Our discussant's thoughtful consideration of the patient's case allows for review three maxims medicine: Occam's razor (the simplest diagnosis is most likely to be correct), Hickam's dictum (multiple disease entities are more than one), and Crabtree's bludgeon tendency make data fit an explanation we hold dear).A 66-year-old woman with a history hypertension presented our hospital one day after arrival United States from Guinea chronic daily vomiting, unintentional weight loss progressive...
Lung cancer is the leading cause of cancer-related death and poses significant challenges in diagnosis management. Although muscle metastases are exceedingly rare typically not initial clinical manifestation neoplastic processes, their recognition crucial for optimal patient care.
<sec> <title>BACKGROUND</title> Clinical reasoning is an essential skill, yet physicians receive limited feedback. Artificial intelligence holds promise to fill this gap. </sec> <title>OBJECTIVE</title> We report the development of both named entity recognition (NER), logic-based and large language model (LLM)-based assessments CR documentation in electronic health record (EHR) across two institutions. <title>METHODS</title> Two note sets were retrieved from EHR at each institution (NYU...
Clinical reasoning (CR) is an essential skill; yet, physicians often receive limited feedback. Artificial intelligence holds promise to fill this gap. We report the development of named entity recognition (NER), logic-based and large language model (LLM)-based assessments CR documentation in electronic health record across 2 institutions (New York University Grossman School Medicine [NYU] Cincinnati College [UC]). The note corpus consisted internal medicine resident admission notes...
Abstract The initial phase of the SARS-CoV-2 pandemic in United States saw rapidly-rising patient volumes along with shortages personnel, equipment, and intensive care unit (ICU) beds across many New York City hospitals. As our hospital wards quickly filled unstable, hypoxemic patients, hospitalist group was forced to fundamentally rethink way we triaged managed cases respiratory failure. Here, describe oxygenation protocol developed implemented response changing norms for acuity on...
Learning Objectives: 1) Understand real world presentation of Giant Cell Arteritis (GCA).2) Identify types bias leading to a delayed GCA diagnosis.Case Report: A 72-year-old male presented with multiple complaints, including scrotal pain, transient vision loss, fatigue, weight loss and new headaches.ED work-up showed leukocytosis aortic dilation on imaging.Clinicians recommended further for possible infection but did not raise concern GCA.The patient declined admission re-presented 2 days...
Subha Airan-Javia is the CEO of CareAlign, a task management system for electronic health records. The remaining authors declare no conflict interest.
Purpose: Frequent quality feedback benefits medical students’ development of competence.1,2 Competency-based education has increased calls for workplace-based assessments (WBAs) as a method providing ongoing formative on performance.3 Still, schools experience challenges with effectively implementing WBAs. WBAs can disrupt clinical learning environments tension between frequent, real-time and the busy, time-intensive, varied workflow classroom. NYU Grossman School Medicine introduced an...
We present two cases that highlight the role of pharmacists in diagnostic process and illustrate how a culture safety teamwork between physicians can help prevent errors.
Abstract Objectives Cognitive biases can result in clinical reasoning failures that lead to diagnostic errors. Autobrewery syndrome is a rare, but likely underdiagnosed, condition which gut flora ferment glucose, producing ethanol. It most frequently presents with unexplained episodes of inebriation, though more case studies are necessary better characterize the syndrome. Case presentation This 41-year old male past medical history notable only for frequent sinus infections, who presented...