AI Article Synopsis
- Management reasoning (MR) is essential in clinical settings but is less studied compared to diagnostic reasoning (DR).
- There is a lack of published strategies for effectively teaching MR in clinical education environments.
- The authors propose a framework that combines key theories and tools to help frontline clinical teachers incorporate MR into their instruction during inpatient rounds.
Article Abstract
Management reasoning (MR) is a key domain of clinical reasoning that is distinct from the more heavily studied and taught diagnostic reasoning (DR). Despite MR's importance to patient care, there are few published strategies for incorporating MR education into the clinical learning environment. In this perspective, the authors review key theories and clinical principles relevant to MR and integrate these concepts with previously described tools for teaching MR to provide frontline clinical teachers with practical, theory-informed framework for teaching MR during inpatient rounds.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s11606-024-09039-4 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Effectiveness of psychodrama on mental health outcomes based on Chinese samples: A systematic review and meta-analysis of randomized controlled studies.
Glob Ment Health (Camb)
December 2024
Mental Health Education and Counseling Center, China University of Labor Relations, Beijing, China.
Background: Psychodrama (PD), supported by extensive global research, is increasingly becoming a vital method for alleviating psychological symptoms and promoting mental well-being in diverse populations across China. However, comprehensive evidence based on rigorous interventions is currently lacking.
Methods: This article systematically reviews the literature on randomized controlled experimental intervention studies of PD in the Chinese Mainland from 1982 to 2023.
Secure Base Leadership in military training: enhancing organizational identification and resilience through work engagement.
Front Psychol
December 2024
Department of Social and Organizational Psychology, Faculty of Psychology, Universidad Nacional de Educación a Distancia (UNED), Madrid, Spain.
Introduction: This study examines the relationships between secure base leadership, organizational identification, and resilience among military cadets, utilizing the Job Demands-Resources (JD-R) model as a theoretical framework. Specifically, it explores the mediating role of work engagement in these associations within the context of military training.
Methods: A cross-sectional study was conducted with 363 cadets from the General Military Academy of the Army in Zaragoza, Spain.
The aging population presents critical challenges to global healthcare systems, with Japan expected to have 35% of its population aged 65 or older by 2040. Older adults often experience multimorbidity, cognitive impairments, and physical frailties, increasing healthcare utilization and costs. Traditional medical approaches that focus on organ-specific diagnoses are insufficient for addressing these multifaceted needs.
View Article and Find Full Text PDFExploring school leaders' and parents' attitudes toward implementing an organizational system for academic diversity and inclusion in international schools in Egypt.
Int J Dev Disabil
June 2024
Educational Studies Department, American University in Cairo, Cairo, Egypt.
Egypt has recently undergone significant educational reforms, granting children with disabilities the right to inclusive education and well-being as stipulated in the Arab Republic of Egypt's Constitution and Ministerial Degrees. This qualitative study aimed to capture the current situation of inclusion in Egypt's educational landscape and gather insights from school leaders ( = 2) and parents ( = 4) regarding the services provided to children with intellectual disabilities (ID) in two international schools in Egypt. Through semi-structured interviews, this study aimed to assess recent changes and efforts made in education reform to support inclusive practices for ID in international schools in Egypt.
View Article and Find Full Text PDFDecorrelative network architecture for robust electrocardiogram classification.
Patterns (N Y)
December 2024
Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.
To achieve adequate trust in patient-critical medical tasks, artificial intelligence must be able to recognize instances where they cannot operate confidently. Ensemble methods are deployed to estimate uncertainty, but models in an ensemble often share the same vulnerabilities to adversarial attacks. We propose an ensemble approach based on feature decorrelation and Fourier partitioning for teaching networks diverse features, reducing the chance of perturbation-based fooling.
View Article and Find Full Text PDFWant 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!