Digital Health

How can the health sector benefit from IT progress? How can each of us use IT safely in the daily management of health and illness? How do we create acceptance for new applications and technologies – digital patient files, Internet of Things (IoT) and Big Data?

Research at the BFH Centre focuses on people. Together with those affected – patients, relatives and professionals – practical solutions are developed, for example for dealing with patient information that brings concrete benefits in everyday life. This involves the targeted use of IT, which exploits opportunities and limits risks. The priority is a responsible approach to safety, self-determination and the physical and mental health of patients, relatives and professionals. The BFH Centre ensures that the use of IT meets the needs and demands of those involved and continuously evaluates the effects in its medical informatics laboratory and in practice.

All articles on Digital Health

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An app for treating ulcers – technology does not heal all wounds

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What functions does an app need to have in order to provide meaningful support for wound therapy? An interdisciplinary team from Bern University…
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SmartSDM: The use of digital tools and wearables for people with severe mental illnesses

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A BFH research project has investigated how digital tools and wearable devices are used by people with severe mental illness. Digital transformation…
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Barrier-free thanks to technology? What society says

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What does inclusion mean for our society - and what role does technology play in this? A research team from Bern University of Applied Sciences…
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Diagnosis by AI: Why trust is the key to acceptance

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Errors in emergency diagnostics are common – artificial intelligence (AI) promises to improve diagnostic accuracy. However, both patients and…
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Technology Adoption in Care – What Are the Success Factors?(Part 3)

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What conditions must be met for nurses to adopt technology, integrate it into their daily routines, and use it consistently? Researchers at BFH…
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Responsibility and Risk: Generative AI in Patient-Centred Healthcare Applications

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Generative artificial intelligence (AI) is transforming digital healthcare applications, particularly those involving direct patient interaction.…
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Care@home: Core Competencies for Home-Based Treatment

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Care@home is a care model where patients with acute illnesses are treated in their home environment. This approach presents healthcare professionals…
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AI-assisted Shift Planning in Healthcare – Opportunities and Challenges

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Shift planning is central to job satisfaction in healthcare and often triggers conflicts between work and private life. An interdisciplinary…
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Health Chart: A Swiss Compass for Your Personal Healthcare Journey

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The Health Chart cross-disciplinary research project helps patients visualize their health journey. Initiated by BFH’s Institute of Patient-Centered…
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Inclusive Design of Digital Health Solutions for Older Adults

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Digital health solutions utilize evidence-based approaches for prevention, treatment, and health promotion. To minimize inequalities, they must…
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How neuromonitoring can prevent post-operative brain damage

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Analysing signal data in intraoperative neuromonitoring using machine learning - Simon Koller won over the jury at the DMEA in Berlin with this…
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Artificial intelligence for care

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Nursing is involved in many digital processes - which makes it all the more important that it takes a serious look at how the digital transformation…