Intelligente Chatbots im Gesundheitswesen – Prozessoptimierung im Gesundheitsbereich, von der Dienstleistung bis hin zum Controlling

Mornhinweg, Nick

doi:10.1007/978-3-658-21710-5_8

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…Rule-based chatbots use predefined conversational paths and structures and can thus only communicate using a limited knowledge base; they are not based on AI. 21 Mental-health chatbots and virtual agents for emotional support are already being used in the field of mental health 22 and in learning environments using electronic devices and media. 23 Chatbots can help address organisational tasks, such as providing information, helping find an appointment, counteracting long waiting times or preventing perceived stigma and mental-health barriers in a functional and empathetic way.…”

Section: Chatbots As Conversational Agents For Studentsmentioning

confidence: 99%

Assessing medical students’ perceived stress levels by comparing a chatbot-based approach to the Perceived Stress Questionnaire (PSQ20) in a mixed-methods study

Moldt¹,

Festl-Wietek²,

Mamlouk³

et al. 2022

DIGITAL HEALTH

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Objective Digital transformation in higher education has presented medical students with new challenges, which has increased the difficulty of organising their own studies. The main objective of this study is to evaluate the effectiveness of a chatbot in assessing the stress levels of medical students in everyday conversations and to identify the main condition for accepting a chatbot as a conversational partner based on validated stress instruments, such as the Perceived Stress Questionnaire (PSQ20). Methods In this mixed-methods research design, medical-student stress level was assessed using a quantitative (digital- and paper-based versions of PSQ20) and qualitative (chatbot conversation) study design. PSQ20 items were also shortened to investigate whether medical students’ stress levels can be measured in everyday conversations. Therefore, items were integrated into the chat between medical students and a chatbot named Melinda. Results PSQ20 revealed increased stress levels in 43.4% of medical students who participated ( N = 136). The integrated PSQ20 items in the conversations with Melinda obtained similar subjective stress degree results in the statistical analysis of both PSQ20 versions. Qualitative analysis revealed that certain functional and technical requirements have a significant impact on the expected use and success of the chatbot. Conclusion The results suggest that chatbots are promising as personal digital assistants for medical students; they can detect students’ stress factors during the conversation. Increasing the chatbot's technical and social capabilities could have a positive impact on user acceptance.

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Section: Chatbots As Conversational Agents For Studentsmentioning

confidence: 99%

Assessing medical students’ perceived stress levels by comparing a chatbot-based approach to the Perceived Stress Questionnaire (PSQ20) in a mixed-methods study

Moldt¹,

Festl-Wietek²,

Mamlouk³

et al. 2022

DIGITAL HEALTH

View full text Add to dashboard Cite

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Künstliche Intelligenz als disruptiver Faktor im Dienstleistungsgeschäft

Valentowitsch

2021

Künstliche Intelligenz Im Dienstleistungsmanagement

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Rationalisierung durch Digitalisierung?

Waag

2023

Soz Passagen

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ZusammenfassungDer vorliegende Beitrag möchte den Analysen zur Digitalisierung in der Sozialen Arbeit eine arbeits- und interaktionssoziologische Perspektive hinzufügen. Auf diese Weise werden mögliche Vor- und Nachteile der Digitalisierung aus der Sicht von Fachkräften, Hilfsbedürftigen und Organisationen deutlich. Es zeigt sich, dass die im Zuge der Digitalisierung oft geäußerten Ängste und Hoffnungen hinsichtlich der Rationalisierung Sozialer Arbeit zu kurz greifen. Die Analyse wird durch arbeitssoziologische Überlegungen zur Dienstleistungsarbeit sowie die Interaktionstheorie Luhmanns theoretisch gerahmt. Letztere ist in eine Organisations- sowie eine umfassende Sozialtheorie eingebettet und bietet dadurch kohärente Anknüpfungspunkte für die Untersuchung der möglichen Auswirkungen der Nutzung digitaler Technologien in helfenden Interaktionen. Anstatt durch Standardisierung Abstimmungsprobleme zu reduzieren, dürfte die Nutzung digitaler Technologien vor allem neue Abstimmungsprobleme begünstigen.

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Intelligente Chatbots im Gesundheitswesen – Prozessoptimierung im Gesundheitsbereich, von der Dienstleistung bis hin zum Controlling

Cited by 3 publications

References 4 publications

Assessing medical students’ perceived stress levels by comparing a chatbot-based approach to the Perceived Stress Questionnaire (PSQ20) in a mixed-methods study

Assessing medical students’ perceived stress levels by comparing a chatbot-based approach to the Perceived Stress Questionnaire (PSQ20) in a mixed-methods study

Künstliche Intelligenz als disruptiver Faktor im Dienstleistungsgeschäft

Rationalisierung durch Digitalisierung?

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