Sensors in healthcare and what they mean for us

11.09.2023 Modern technologies are revolutionising our health care system. In a four-part series, the authors of SocietyByte – the science magazine of Bern University of Applied Sciences (BFH) – analyse what opportunities this presents and where the challenges lie.

Clinical thermometers , fitness and health trackers, mattresses that analyse sleep patterns or sensors that sound the alarm when a person leaves the room: digital tools have long since found their way into our healthcare system and it is difficult to imagine our hospitals and care facilities without them. And yet we are still only at the beginning.

Robotics and artificial intelligence – used correctly – can revolutionise healthcare. The area of innovation ‘Digital Health’ of the Applied Research and Development in Nursing at Bern University of Applied Sciences investigates what impact these technologies are having on care, caregivers and the healthcare sector  in general. The key question is how these technologies must be used to deliver the greatest possible benefit to humanity.

The science magazine SocietyByte picks up on this issue and takes a closer look at the topic of “Sensor technology in healthcare” in a four-part series on Human Digital Transformation (HDT). The authors examine the possibilities that digital technologies can offer  in the health sector. They also ask why the integration of such technologies in everyday healthcare is still fraught with difficulties. This is all being done in the context of the Innosuisse project RAMOS. BFH launched the project in collaboration with ARTORG, the Centre for Biomedical Engineering Research at the University of Bern, and industry partner QUMEA, in summer 2022.

The first part of the HDT series entitled “Sensor technology in health care – opportunities and challenges” presents this project in more detail and provides a technical introduction to the topic. The second part of the series (end of August) looks at the question of what sensor data actually means and how algorithms work in reality. Parts three and four of the series will be released in autumn 2023.

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