Mikkel has been working with software development and implementation for many years, the past seven years with a focus on solutions for the healthcare industry. Mikkel is a pioneer in the field of healthcare IOT for Danish hospitals, specifically within tracking and localization data.
13:30 - 14:00
- Annat, eHälsa
- Framtidens vård
Columna Service Logistics support patient-related service tasks (e.g. patient transports and patient assists), as well as logistical functions such as bed handling, equipment handling and other transport tasks related to the hospital flow (e.g. food, waste, linen, medicine etc).
Prediction of workload by using machine learning is a key element in the future of hospitals to increase transparency even further. Machine leaning gives the ability to predict the number of tasks needed in specific areas - for example patient transports, ad hoc cleaning, and new beds.
This means that service logistics in the future can be proactive and e.g. bring a bed to a ward before the actual demand for one is made. It is also possible to level capacity in the various service teams throughout the day to match the number of tasks at hand. The result of doing this is an overall increase of quality in the clinical processes, as well as an increase in efficiency.