363-1130-00L  Digital Health in Practice (University of Zurich)

SemesterFrühjahrssemester 2023
DozierendeUni-Dozierende
Periodizitätjährlich wiederkehrende Veranstaltung
LehrveranstaltungFindet dieses Semester nicht statt.
LehrspracheEnglisch
KommentarNo enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: 04SM22MAS100

Mind the enrolment deadlines at UZH:
https://www.uzh.ch/cmsssl/en/studies/application/deadlines.html



Lehrveranstaltungen

NummerTitelUmfangDozierende
363-1130-00 VDigital Health in Practice (University of Zurich)
Findet dieses Semester nicht statt.
**Course at University of Zurich**
28s Std.Uni-Dozierende

Katalogdaten

KurzbeschreibungToday, we face the challenge of chronic conditions. Personal coaching approaches are neither scalable nor financially sustainable. The question arises, therefore, to which degree Digital Health Interventions (DHIs) are appropriate to address this challenge. In this lecture, students will learn about the need for, as well as the design, implementation, and assessment of DHIs.
Lernziel• To understand the importance of digital health interventions for the prevention, management, and treatment of non-communicable diseases and common mental disorders
• To discuss the opportunities and challenges of digital health interventions (e.g., data collection with wearables, smartphone- and chatbot-delivered health interventions)
• To gain hands-on experience in the conceptual design, implementation and evaluation of a wearable- and smartphone-based digital health intervention
InhaltFitbits detect lasting changes after Covid-19 (New York Times, 2022), The promise of the metaverse in cardiovascular health (European Heart Journal, 2022), Can Virtual Reality Help Ease Chronic Pain? (The New York Times Magazine, 2022), First of its Kind Alexa Experience Provides Hands-Free Access at Home to General Medical Care (GlobeNewswire, 2022), Can digital technologies improve health? (The Lancet, 2021), Predictive analytics and tailored interventions improve clinical outcomes (npj Digital Medicine, 2021), Q1 2022 Digital Health Funding Reaches $6B Across 183 Deals (Rock Health, 2022).

Digital health applications use information, sensor and communication technology to understand, prevent, manage, or treat diseases. The design of these applications requires interdisciplinary expertise at the intersection of medicine, psychology, computer science, technology, management, economics, and law. Only a close collaboration between experts from these disciplines and a specific target population can lead to a shared understanding of the problem at hand and, as a result, highly effective digital health applications. For this reason, national and international students studying computer science, business informatics, psychology, management, economics, or law are invited to work collaboratively with medical students.

Digital health applications and companies have the goal of advancing health care services to fight the ongoing increase of non-communicable diseases (NCDs) and common mental disorders (CMDs) in developed countries. To this end, the question arises of how to develop evidence- based digital health interventions (DHI) that allow medical doctors and other caregivers to scale and tailor long-term treatments to individuals in need at sustainable costs. Through input lectures and practical applications, this module has, therefore, the objective to help students to better understand the need, design, implementation, and evaluation of DHIs.

The following topics are covered:
1. DHIs for the prevention, management, and treatment of NCDs and CMDs
2. Strategies for long-term compliance with DHI
3. Conceptual design of a wearable- and smartphone-based DHI
4. Technical implementation of a wearable- and smartphone-based DHI
5. Evaluation of a wearable- and smartphone-based DHI
Literatur1. Cohen AB Dorsey ER Mathews SC et al. (2020) A digital health industry cohort across the health continuum Nature Digital Medicine 3(68), 10.1038/s41746‐020‐0276‐9
2. Collins LM (2018) Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: The Multiphase Optimization Strategy (MOST) New York: Springer, 10.1007/978-3-319-72206-1
3. Coravos A. Khozin S. and K. D. Mandl (2019) Developing and Adopting Safe and Effective Digital Biomarkers to Improve Patient Outcomes Nature Digital Medicine 2 Paper 14, 10.1038/s41746‐019‐0090‐4
4. Fleisch E Franz C Herrmann A (2021) The Digital Pill: What Everyone Should Know about the Future of Our Healthcare System, Emerald Publishing: Bingley,UK, 10.1108/9781787566750
5. Katz DL Frates EP Bonnet JP Gupta SK Vartiainen E and Carmona RH (2018) Lifestyle as Medicine: The Case for a True Health Initiative American Journal of Health Promotion 32(6), 1452-1458, 10.1177/0890117117705949
6. Kvedar, JC, Fogel AL, Elenko E and Zohar D (2016) Digital medicine’s march on chronic disease Nature Biotechnology 34(3), 239-246, 10.1038/nbt.3495
7. Kowatsch T Otto L Harperink S Cotti A Schlieter H (2019) A Design and Evaluation Framework for Digital Health Interventions it ‐ Information Technology 61(5‐6), 253‐263, 10.1515/itit‐2019‐0019
8. Kowatsch T Fleisch E (2021) Digital Health Interventions, in: Gassmann O Ferrandina F (eds): Connected Business: Creating Value in the Networked Economy, Springer: Berlin, 10.1007/978-3-030-76897-3_4
9. Kowatsch T Schachner T Harperink S et al (2021) Conversational Agents as Mediating Social Actors in Chronic Disease Management Involving Health Care Professionals, Patients, and Family Members: Multisite Single-Arm Feasibility Study, Journal of Medical Internet Research (JMIR) 23(2):e25060 10.2196/25060
10. Kowatsch T Lohse KM Erb V et al (2021) Hybrid Ubiquitous Coaching With a Novel Combination of Mobile and Holographic Conversational Agents Targeting Adherence to Home Exercises: 4 Design and Evaluation Studies, Journal of Medical Internet Research (JMIR) 23(2):e23612, 10.2196/23612
11. Nahum‐Shani I Smith SN Spring BJ Collins LM Witkiewitz K Tewari A Murphy SA (2018) Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support Annals of Behavioral Medicine 52 (6), 446‐462, 10.1007/s12160-016-9830-8
12. Sim, I. (2019) Mobile Devices and Health The New England Journal of Medicine, 381(10), 956‐ 968, 10.1056/NEJMra1806949
KompetenzenKompetenzen
Fachspezifische KompetenzenKonzepte und Theoriengeprüft
Verfahren und Technologiengeprüft
Methodenspezifische KompetenzenAnalytische Kompetenzengeprüft
Entscheidungsfindunggeprüft
Medien und digitale Technologiengeprüft
Problemlösunggeprüft
Projektmanagementgeprüft
Soziale KompetenzenKommunikationgeprüft
Kooperation und Teamarbeitgeprüft
Kundenorientierunggeprüft
Menschenführung und Verantwortunggeprüft
Selbstdarstellung und soziale Einflussnahmegefördert
Sensibilität für Vielfalt geprüft
Verhandlunggefördert
Persönliche KompetenzenAnpassung und Flexibilitätgeprüft
Kreatives Denkengeprüft
Kritisches Denkengeprüft
Integrität und Arbeitsethikgeprüft
Selbstbewusstsein und Selbstreflexion gefördert
Selbststeuerung und Selbstmanagement geprüft

Leistungskontrolle

Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird)
Leistungskontrolle als Semesterkurs
ECTS Kreditpunkte4 KP
Prüfende
Formunbenotete Semesterleistung
PrüfungsspracheEnglisch
RepetitionRepetition nur nach erneuter Belegung der Lerneinheit möglich.
Zusatzinformation zum PrüfungsmodusRegistration modalities, date and venue of this performance assessment are specified solely by the UZH.

Lernmaterialien

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Es werden nur die öffentlichen Lernmaterialien aufgeführt.

Gruppen

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Einschränkungen

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