The Potential Issues of IoT and AI in the Healthcare

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You won’t be surprised if you know the Internet of Things (IoT) and artificial intelligence (AI) are big businesses. With healthcare system and hospitals rush to adopt these new technologies, many people don’t realize that the abilities and functions of these technologies need to be improved. They can buy complementary technologies to sure that IoT and AI are deployed well.

According to the Digital Health Technology Vision 2018, more than three-quarters of healthcare decision-makers plan to invest in IoT and smart sensors. More than half of people said that they are purchasing AI system. Most of the people (86%) said that they are seeking for a kind of technology to help them drive automated decision by using data.

At the same time, many people start to realize that the basic change that AI stood not only need to buy and install special software. It’s reported that over 80% of execs said that they are not ready to face the responsibility and social issues that need they to explain AI – based decisions and behaviours.

Besides, about three-quarters of people said, they’ve begun developing internal ethical standards to sure that their AI system works in the best way for workers and patients. As Kaveh Safavi said: “Adopting responsibility actions”.

“The smart technologies like AI are helping health organizations develop rapidly cooperating with others and establish deeper and more meaningful relationship with patients in various hospitals. With the development of this form transform technology, organizations will continue to show the data management and transparency and trust of the designing system to enhance the social benefits of these technologies.” said, Kaveh Safavi, MD, head of Accenture’s global health practice.

For example, the new report shows the hospitals that recently face the new risks of IoT and AI will face the potential issues of lasting network security: it’s easy to cause machines generate inaccurate data.

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