The aim of this project was to design a product solution which could reduce the pollution of harmful noise during hip replacement surgery. For Critical Alarms Lab, this project was the first project out of the ICU and into the OR, broadening the Lab’s scope and research environments.
Doplor sleep combines sleep data and sound data to generate insights and make users aware of how sounds are affecting sleep. By learning about how to assess sleep quality, the following parameters are included in data visualization: Sleep time and duration, change of sleep stages (REM, light, deep, and wake), and the duration of each sleep stage.
Overcome is a digital interface that facilitates patients’ understanding of medical alarms and inform about nurses’ decisions towards an alarm through the provision of visual feedback.
Orthopedic operating rooms are very loud environments, exposing the medical staff to a significant amount of noise. But little is known about how the sound exposure distributes among the different kinds of surgeries, whether there is a difference among the professions. We developed an app – together with a smartphone and a microphone attached to their collar, individual staff members can easily measure their sound exposure during surgical procedures.
On the ICU, sounds are the most direct way in which the nurses receive information about the patients. However, there are a lot of problems with the number and loudness of these sounds. The Cacophony Mapper creates insight in which types of sounds, and when and where on the ICU these sounds are the most problematic.