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.
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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Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven,
2022.
Frontiers in Neurology.
13(809391).
Available from: https://doi.org/10.3389/fneur.2022.809391
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Klauser, Viola; Pfenninger, Mirjam; Merkle, Thorsten,
2022.
DIGINUT : Digitalisierung und Nutzen von Patientenernährungsdaten.
Wädenswil:
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-25314
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Meidert, Ursula; Scheermesser, Mandy,
2022.
Verschiedene Gesundheitskonzepte im Rahmen der digitalen Selbstvermessung
.
In:
Cappel, Valeska; Kappler, Karolin Eva, eds.,
Gesundheit – Konventionen – Digitalisierung : eine politische Ökonomie der (digitalen) Transformationsprozesse von und um Gesundheit.
Wiesbaden:
Springer.
pp. 335-359.
Available from: https://doi.org/10.1007/978-3-658-34306-4_12
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Suter, Susanne; Spinner, Georg; Hoelz, Bianca; Rey, Sofia; Thanabalasingam, Sujeanthraa; Eckstein, Jens; Hirsch, Sven,
2022.
Visualization and analysis of wearable health data from COVID-19 patients.
arXiv.
Available from: https://doi.org/10.21256/zhaw-24219
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Hanne, Thomas; Gachnang, Phillip; Gatziu Grivas, Stella; Kirecci, Ilyas; Schmitter, Paul,
2022.
Artificial intelligence and machine learning for maturity evaluation and model validation [paper].
In:
ICEME 2022 Proceeding.
13th International Conference on E-business, Management and Economics (ICEME), Beijing, China, 16-18 July 2022.
Association for Computing Machinery.
pp. 256-260.
Available from: https://doi.org/10.1145/3556089.3556102
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Spinner, Georg; Gerber, Nicole,
2022.
Bayesian network analysis for data-driven decision support.
TRANSFER Special.
pp. 20.
Available from: https://doi.org/10.21256/zhaw-25931
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.
