Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Using clinical history taking chatbot mobile app for clinical bedside teachings – A prospective case control study
29
Zitationen
3
Autoren
2022
Jahr
Abstract
Introduction: A novel chatbot mobile app for training of undergraduate medical students' clinical history taking skills was developed in 2021. Students were able to take clinical history from the virtual patient for bedside teaching. A case-control study was conducted to evaluate the effectiveness of learning with chatbot mobile app, versus conventional bedside teachings with real patients. Methods: 132 final year medical students were randomized into two groups - Conventional bedside teaching with clinical history taken from a real patient, and Bedside teaching with clinical history taken from the Chatbot. Independent blinded assessment of students' history taking skills was conducted. Students' performance were assessed by standardized marking scheme. Results: Median age was 23 years old (Range 21-30 years old). There were 62 female and 70 male students.64 students were randomized into conventional group while 68 students were randomized into the chatbot group. Baseline demographic data were comparable between the two groups.Blinded assessment of students' performance in clinical history taking were comparable between the conventional group and chatbot group (p > 0.05). Conclusion: With the promising results we have demonstrated in this study, we believe training of history taking skills by chatbot will be a feasible alternative to conventional bedside teaching.
Ähnliche Arbeiten
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller
1999 · 5.633 Zit.
An experiment in linguistic synthesis with a fuzzy logic controller
1975 · 5.599 Zit.
A FRAMEWORK FOR REPRESENTING KNOWLEDGE
1988 · 4.551 Zit.
Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
2023 · 3.564 Zit.