Inga Hege
Biographic Data
| ID | 7933221 |
|---|---|
| NAME | Inga Hege |
| GIVEN NAMES | Inga |
| FAMILY NAME | Hege |
| SIGNATURE | HEGE I |
| AFFILIATIONS | University of Augsburg |
| ORCID | 0000-0003-4335-5162 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Medtoo – sexual harassment in medical education
ChatGPT versus human authors
Purpose This study investigates whether ChatGPT can generate clinically accurate and pedagogically valuable maps for clinical reasoning (CR) training. The aim is to assess its potential as a tool for supporting the creation of high-quality educational resources for CR training.Materials and methods We selected 10 diverse virtual patients (VPs) from the European iCoViP project. For each case, CR concept maps were generated by a custom ChatGPT mode…
Planning a Collection of Virtual Patients to Train Clinical Reasoning
The development of the blueprint required a stepwise approach, which can be replicated for the creation of other VP or case collections. We consider the blueprint an appropriate starting point for the actual creation of the VPs, but constant updating and refining is needed
Clinical Reasoning Needs to Be Explicitly Addressed in Health Professions Curricula
Clinical reasoning entails the application of knowledge and skills to collect and integrate information, typically with the goal of arriving at a diagnosis and management plan based on the patient's unique circumstances and preferences. Evidence-informed, structured, and explicit teaching and assessment of clinical reasoning in educational programs of medical and other health professions remain unmet needs. We herein summarize recommendations for…
The need for longitudinal clinical reasoning teaching and assessment
Background: Clinical reasoning is a key ability essential for practising health professionals. However, little is known about the current global adoption of clinical reasoning teaching and assessment.Purpose: We aimed to provide insights into how clinical reasoning is deliberately taught and assessed in curricula worldwide and to identify needs and perceived barriers for teaching clinical reasoning to students and educators.Methods: A questionnai…
No prominent works on this page.
The need for longitudinal clinical reasoning teaching and assessment
Background: Clinical reasoning is a key ability essential for practising health professionals. However, little is known about the current global adoption of clinical reasoning teaching and assessment.Purpose: We aimed to provide insights into how clinical reasoning is deliberately taught and assessed in curricula worldwide and to identify needs and perceived barriers for teaching clinical reasoning to students and educators.Methods: A questionnai…
Clinical Reasoning Needs to Be Explicitly Addressed in Health Professions Curricula
Clinical reasoning entails the application of knowledge and skills to collect and integrate information, typically with the goal of arriving at a diagnosis and management plan based on the patient's unique circumstances and preferences. Evidence-informed, structured, and explicit teaching and assessment of clinical reasoning in educational programs of medical and other health professions remain unmet needs. We herein summarize recommendations for…
Planning a Collection of Virtual Patients to Train Clinical Reasoning
The development of the blueprint required a stepwise approach, which can be replicated for the creation of other VP or case collections. We consider the blueprint an appropriate starting point for the actual creation of the VPs, but constant updating and refining is needed
Medtoo – sexual harassment in medical education
ChatGPT versus human authors
Purpose This study investigates whether ChatGPT can generate clinically accurate and pedagogically valuable maps for clinical reasoning (CR) training. The aim is to assess its potential as a tool for supporting the creation of high-quality educational resources for CR training.Materials and methods We selected 10 diverse virtual patients (VPs) from the European iCoViP project. For each case, CR concept maps were generated by a custom ChatGPT mode…
Clinical Reasoning and Diagnostic Skills (4 works) · Innovations in Medical Education (3 works) · Medicine (3 works) · Psychology (3 works) · Radiology practices and education (3 works) · Computer Science (2 works) · Curriculum (2 works) · Engineering (2 works) · Medical education (2 works) · Pedagogy (2 works)