DATA INTEROPERABILITY STANDARDS FULL
The aim of this article is to show why interoperability is so important for achieving the full potential of digitalization in healthcare and medicine. In short: Digital health depends on interoperability. Uncovering the full potential of digital medicine requires an interconnected data infrastructure with fast, reliable and secure interfaces, international standards for data exchange as well as medical terminologies that define unambiguous vocabularies for the communication of medical information. These are suboptimal conditions for the data-driven technologies anticipated to drive medical innovation. In fact, the current medical landscape seems less characterized by “big data” but rather by a large number of disconnected small data. Judged by these criteria, however, large parts of today’s medical data are virtually useless: Hidden in isolated data silos and incompatible systems, the data are difficult to exchange, process and interpret. This requires high-quality datasets, seamless communication across IT systems and standard data formats that can be processed by humans and machines. 1– 6īut medical data are only useful if they can be turned into meaningful information. Combined with artificial intelligence, cloud computing and big data analytics, this wealth of data holds huge potential for healthcare and can improve the lives of millions of patients worldwide – with better diagnostics, personalized treatments, and early disease prevention.
Electronic medical records, mobile health apps, medical imaging, low-cost gene sequencing as well as new sensors and wearable devices provide an ever-increasing flow of digital health data. The digitalization of medicine promises great advances for global health.
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