ZHAW Digital Health Lab
The ZHAW Digital Health Lab brings together experts from the fields of biomedicine, health, technology and business, who together create innovations for digitisation in healthcare.
Vision & Mission
We believe that digital health has tremendous potential to enhance the well-being of everyone in our population. In aiming to make healthcare more accurate, personalized, and preventive, digital health focuses on the individual.
We face the challenges of digitalization in the healthcare sector by developing solutions for healthcare innovations. Through its broad base within ZHAW, the ZHAW Digital Health Lab combines the expertise of specialized research groups in technology, healthcare, and business. This forms a unique breeding ground for digital health solutions throughout Switzerland.
We aim to be a leading, internationally recognized Swiss competence center in digital health. To achieve this, we rely on interdisciplinary cooperation and scientific exchange between our supporters. We work closely with service providers, industry representatives, health insurance companies, policy-makers, and other research partners to facilitate research, innovation, and technology transfer.
Our vision
The ZHAW Digital Health Lab creates innovations for the healthcare sector that focus on people. We improve health care and promote technology transfer between science, industry and society.
Our mission
As a competence network, we work together with our partners to develop solutions to current challenges in the healthcare sector. In doing so, we exploit the potential of our interdisciplinary approach. We rely on result-oriented cooperation with our network and are valued as a competent partner.
Would you like to be informed about current news, studies and publications, events and current projects in the field of Digital Health? Our newsletter is published about 3 - 4 times a year.
Who we are
The ZHAW Digital Health Lab is a virtual, interdepartmental organization of Zurich University of Applied Sciences (ZHAW) comprising several departments and institutes. It brings together a variety of digital health activities and combines the competence fields of technology, healthcare, and business within ZHAW.
Board & Ambassadors
The ZHAW Digital Health Lab was established in 2018 and is managed by a 7-member board of directors. The board meets regularly with its ambassadors to discuss the latest digital health topics. More information about the board and the ambassadors can be found here.
Supporters
The supporters of the ZHAW Digital Health Lab are currently organizational units of the ZHAW. All supporters have significant potential and the intention to advance the lab and its goals. More information about the supporters can be found here.
Digital Health Lab Day
In keynotes, workshops, poster presentations and start-up pitches as well as other formats, the developments and specific applications of digital solutions for the healthcare sector will be presented and discussed using impressive showcases.
5. digital Health Lab Day - Digital Strategies for Future Healthcare
4. Digital Health Lab Day - Smart Healthcare & Digital Innovation
3. Digital Health Lab Day - Implementing Digital Health Innovations
2. Digital Health Lab Day - Digital Citizen-based Medicine
Projects
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Stroke DynamiX
Stroke DynamiX explores data-driven stroke management using machine-learning techniques in a consortium of statistics researchers, translational enablers, and clinical partners. We implement statistical tools to dynamically model stroke epidemiologically and predict real-time sepsis onset in the clinic. ...
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ML-BCA: Machine Learning for Body Composition Analysis
The Centre for Artificial Intelligence (CAI) of the ZHAW, together with the Cantonal Hospital Aarau, has laid the foundations for machine learning-supported body composition analysis on image files of the KSA within the framework of preliminary studies and has achieved promising results. The aim of this project is ...
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Digital Health Zurich – A practice lab for patient-centred clinical innovation
Digital Health Zurich researches digital health solutions in the hospital context and implements them efficiently and with practical relevance. Core topics are Patient Reported Outcome Measure (PROMs), remote monitoring, integrated care and related technologies as well as empowerment of patients and staff. Our ...
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Design Living-Lab
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Building a global bridge in health professions
Motivation/Rational Given the rapid change in the health care capacity and demand land-scape globally, looking at international collaboration for health professional education is key to success to meet future challenges nurses and midwives will be confronted with. The School of Health Sciences ZHAW has engaged in ...
Publications
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Juvalta, Sibylle; Kerry-Krause, Matthew J.; Jaks, Rebecca; Baumann, Isabel; Dratva, Julia,
2020.
Journal of Medical Internet Research.
22(3), pp. e14492.
Available from: https://doi.org/10.2196/14492
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Watanabe, Kazuhiro; Anzai, Hitomi; Juchler, Norman; Hirsch, Sven; Ohta, Makoto,
2020.
In:
International Mechanical Engineering Congress and Exposition : Volume 3 - biomedical and biotechnology engineering.
2019 International Mechanical Engineering Congress and Exposition, IMECE2019, Salt Lake City, Utah, USA, 11-14 November 2019.
The American Society of Mechanical Engineers.
Available from: https://doi.org/10.1115/IMECE2019-11125
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Holdener, Marianne; Gut, Alain; Angerer, Alfred,
2020.
Applicability of the user engagement scale to mobile health : a survey-based quantitative study.
JMIR mHealth and uHealth.
8(1), pp. e13244.
Available from: https://doi.org/10.2196/13244
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de Sousa, Rita Tavares; Teles, Soraia; Bertel, Diotima; Schmitter, Paul; Abrantes, Diogo,
2020.
Advisory on ambient assisted living solutions : towards an advisor concept and training curriculum
.
In:
Ziefle, Martina; Maciaszek, Leszek A., eds.,
Information and communication technologies for ageing well and e-health.
Cham:
Springer.
pp. 41-61.
Available from: https://doi.org/10.1007/978-3-030-52677-1_3
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Detmer, Felicitas J.; Lückehe, Daniel; Mut, Fernando; Slawski, Martin; Hirsch, Sven; Bijlenga, Philippe; von Voigt, Gabriele; Cebral, Juan R.,
2020.
Comparison of statistical learning approaches for cerebral aneurysm rupture assessment.
International Journal of Computer Assisted Radiology and Surgery.
15(1), pp. 141-150.
Available from: https://doi.org/10.1007/s11548-019-02065-2
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Wieber, Frank; Dahinden, Urs; Hess, Tanja; Alt, Sharon; Steiner, Felix; Zwahlen, Daniel; Strebel, Räto,
2020.
In:
Public Health 2020 : Dreiländertagung : Gesundheitskommunikation im 21. Jahrhundert, Steckborn, Schweiz, 17.-18. Januar 2020.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-21282
Contact
Would you like to know more about the ZHAW Digital Health Lab? Alternatively, would you like to join us in creating healthcare innovations? Contact us at digitalhealthlab@zhaw.ch.
