Digital medicine: these were the eHealth trends 2018

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Which digital health developments were important for doctors and patients in 2018? We have compiled the biggest trends of the year in digital healthcare for you.

The 2018 eHealth and mHealth trends include chatbots, virtual reality, big data and deep & machine learning, but also blockchain technologies. The Medical network coliquio sees further trends such as telemedicine as an increasingly self-evident part of healthcare or wearables that play a role in clinical studies and in remote patient monitoring, as well as command centers for hospitals, where all data from medical devices and cameras converge, thus ensuring that Clinical staff can react more quickly to vital data such as cardiac arrest.

eHealth Trend 1: Chatbots

Chatbots are not just the next big trend in marketing, where it's under the term Messenger marketing is known. Chatbots are also becoming increasingly important in digital healthcare, as we reported in our article "Chatbots – the next big eHealth trend?".

eHealth Trend 2: Virtual Reality 

Virtual reality glasses are no longer just popular with computer games. We have already seen you at the last German X-ray Congress in Leipzig. Experts see possible fields of application in the treatment of psychological and neurological diseases such as anxiety disorders, but also for strokes or phantom pain. Medizintechnologie.com has put together some information.

eHealth Trend 3: Big Data, Deep & Machine Learning

Due to the great advances in artificial intelligence in recent years, misdiagnoses could be reduced in the future. For example, health insurance companies could save costs by comparing treatment processes with the same clinical picture and recognizing unnecessary costs in advance. Intelligent algorithms compare millions of cases with each other in a few minutes or include image and text databases with existing diagnoses. Based on this treatment data from previous patients, doctors can more quickly find the right treatment plan and the right therapy for the current patient and support it or check their diagnosis. Patients could obtain a second medical opinion with little effort.

In addition, the doctor can devote more time to his patients because bureaucratic work can be reduced, for example through speech recognition systems, which transfer doctor's visit reports to medical IT independently. Likewise, doctors and hospitals for medicines as well as medicines and aids can link different data sources with the help of big data in order to compare supply data from suppliers and to obtain a prescription that is both active and cost-effective.

The graphics processor manufacturer NVIDIA writes on its website and its Deep learning blogthat it can quickly create first-class neural networks for medical imaging and thus help with classification, detection and segmentation. Because the development of better anti-cancer drugs, faster genome analyzes and more precise imaging requires a high level of research with enormous demands on computing power.

eHealth Trend 4: Blockchain

The blockchain is primarily designed to store transaction data in a protected, traceable and tamper-proof manner. Various application scenarios are conceivable in the healthcare sector: increased interoperability of health data; improved cyber security; affordable, smart health connected healthcare applications enable patients to feed their data into the healthcare system; new business models through more error and manipulation-resistant accounting systems (smart contracts) and counterfeit-proof recipes; result-oriented treatment and corresponding reimbursement models as well as the possibility that patients make their anonymised health data available to research and receive appropriate benefits in return.

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