How IoT is Changing Health Informatics

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IoT-Health

IoT Health

IoT Health- Our current digitally-enhanced era has helped to illustrate just how valuable data can be. When collected and analyzed by experts, it can help guide us to make decisions in business, creative industries, and — perhaps most importantly — healthcare. Health informatics is a vital area of medicine in which data about patients and their illnesses is used to assess the progress of their personal health conditions, drive treatment decisions, and also to build important public health strategies.

Expertise in informatics can have positive outcomes in people’s lives, but there are constant efforts to develop and improve tools that can support this. Over the last several years, the development of the internet of things (IoT) has emerged as a potentially integral solution to various challenges. This connected ecosystem of wearable technology, static devices, and apps has been helping to collect and process data that is vital to informatics.

Diagnosis and Treatment

As patients, we often see diagnosis and treatment from a simplistic perspective. We go to the doctor, they perform some tests, and in the best-case scenario, they tell us what’s wrong and how we can fix it. But those diagnoses and treatments are not just pulled out of the brains of our physicians; they are often the product of huge amounts of data, allowing analysts to identify correlating attributes. Similarly, before reaching the market our medications are subject to tests, providing researchers with volumes of data to help understand their effectiveness.

IoT technologies are helping with the data harvesting and analysis aspects of diagnostic medicine. Using wearable devices that collect data regarding symptoms and patient conditions, alongside information from traditional hospital testing, artificial intelligence (AI) software is then used to undertake speedy and thorough analysis work, using algorithms to help identify the likely diagnosis. In fact, a 2019 study by medical journal The Lancet found that AI analysis of medical imaging was in some ways equivalent to that of human medical professionals.

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Article Credit: IotForAll

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