Biomedical Meets eHealth – From Sensors to Decisions
Already todaybut even more in the futureICT systems in healthcarebiomedical systems and devices will increasingly be intertwined and share a common entity, which is data. This completes the chain and flow of information from the sensor via the processing to the actuator, which can be anything from a human healthcare professional to a robot. Along this pathway, methods for automating the information processing, like signal processing, machine learning, predictive analytics and decision support, play an increasing role to provide actionable information and to support personalized and preventive health care concepts, in both biomedical and digital healthcare systems and applications.
Both scientific disciplines, i.e. biomedical engineering and health informatics, are also closely related to each other and it is often difficult to delineate where the one ends and the other begins.
This starts with the practical settings, for example, in hospitals. Traditionally, there are two different organizational entities working together, i.e. the healthcare engineering and the ICT departments. The first primarily take care of the “hardware”, i.e. appliances, devices and systems, for example imaging equipment like Ultrasound machines or CT scanners. The latter take care of conveying the data generated by these items to the bedside and the healthcare specialists via Health Information Systems (HIS), Radiology Information Systems (RIS) or Picture Archiving and Communication Systems (PACS). However, these systems are interrelated and – as an example – it becomes more and more difficult to locate errors when combined systems come down. In the end, security is also a common concern and standards like the IEC 80001: Application of risk management for IT-networks incorporating medical devices address these overarching needs.
A look to the international level reveals, for example, that the IEEE Engineering in Medicine and Biology Society (EMBS),
Finally, since its beginning in 2007, the scientific backbone of our annual conference has been the working group for “Medical Informatics and eHealth” of the Austrian Society of Biomedical Engineering (OEGBMT)
Graz, March 2018