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.
We firmly believe that through sustainable digital transformation, the healthcare system can be enhanced, leading to improved health and well-being for the population and all stakeholders.
Our contribution to fostering intelligent digital transformation in the healthcare sector includes:
- Conducting application-oriented, interdisciplinary research and development while ensuring the transfer of knowledge and methods into both education and practical application.
- Connecting expertise from specialized research groups and establishing practical contacts across various domains, roles, and hierarchies.
- Cultivating synergies through collaborative network efforts, thereby serving as a unique hub for interdisciplinary, application-oriented excellence.
09.11.2023 - Digital Health Lab Webinar: Digitale Kompetenzen von Pflegefachpersonen und Mediziner:innen – Sind sie bereit für die digitale Zukunft? | Prof. Dr. Alfred Angerer, ZHAW
19.10.2023 - Digital Health Lab Webinar: AI Leaders in Swiss Healthcare | Blaise Jacholkowski, Zühlke & Dr. Jens Haarmann, ZHAW
07.09.2023 - Digital Health Lab Webinar: ExerUP!: Design and evaluation of a digital exergame-based solution for an effective and attractive sports rehabilitation | Michelle Haas, ZHAW
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
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. ...
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 ...
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 ...
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 ...
Reissenberger, Pamela; Serfözö, Peter; Piper, Diana; Juchler, Norman; Glanzmann, Sara; Gram, Jasmin; Hensler, Karina; Tonidandel, Hannah; Börlin, Elena; D’Souza, Marcus; Badertscher, Patrick; Eckstein, Jens,
Determine atrial fibrillation burden with a photoplethysmographic mobile sensor: the atrial fibrillation burden trial : detection and quantification of episodes of atrial fibrillation using a cloud analytics service connected to a wearable with photoplethysmographic sensor.
European Heart Journal - Digital Health.
4(5), pp. 402-410.
Available from: https://doi.org/10.1093/ehjdh/ztad039
Bächinger, David; Filidoro, Noemi; Naville, Marc; Juchler, Norman; Kurtcuoglu, Vartan; Nadol, Joseph B.; Schuknecht, Bernhard; Kleinjung, Tobias; Veraguth, Dorothe; Eckhard, Andreas H.,
13(1), pp. 10303.
Available from: https://doi.org/10.1038/s41598-023-36479-5
Emberger, Raphael; Boss, Jens Michael; Baumann, Daniel; Seric, Marko; Huo, Shufan; Tuggener, Lukas; Keller, Emanuela; Stadelmann, Thilo,
2023 10th IEEE Swiss Conference on Data Science (SDS).
10th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 22-23 June 2023.
Available from: https://doi.org/10.1109/SDS57534.2023.00019
Schmitter, Paul; Kirecci, Ilyas; Gatziu Grivas, Stella; Hanne, Thomas; Beck, Chantal,
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-27958
Schmitter, Paul; Ashworth, Simon,
IOP Conference Series: Earth and Environmental Science.
CIB W070 Conference on Facility Management and Maintenance 2023, Trondheim, Norway, 8-11 May 2023.
Available from: https://doi.org/10.1088/1755-1315/1176/1/012012
Gerber, Nicole; Merkle, Thorsten; Jeanfavre, Elsa,
Erhöhung des Wohlergehens von Bewohnenden in Alters- und Pflegeheimen durch Flexibilisierung der Verpflegungsleistungen mithilfe von Technologie : Schlussbericht der Vorstudie als Basis für weitere Forschungstätigkeiten.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-26854
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 email@example.com.