Читать книгу Do No Harm - Matthew Webster - Страница 52

We have been on a short exploration of how big data fits into the big picture of both hospitals and IoMT devices. We have explored how big data fits into the overall Medicine 2.0 as data is part of the advancement of not only medical science, but also for protecting patients that utilize IoMT. As our IoMT devices become more sophisticated and capable of even deeper readings than ever before, this will only catapult our understanding of medicine even further. That shift will help us be more preventative and thus save lives and also further reduce our healthcare expenditures.

On the data science side of things, whether you are talking about deep learning, machine learning, or artificial intelligence, these practices help the data scientists to aggregate, correlate, and present key findings more quickly. They are a critical tool to help sort through vast quantities of data. They help to make data science much easier and the role of data scientists more important for the companies that rely on big data whether they are working on population health, advertising, or myriad other disciplines—including information security.

The utilization of this data is a brilliant and clearly fantastic use of resources on many fronts. But, there is clearly room for improvement as privacy rights, from many people's perspective, are being violated. We clearly need a better approach going forward not only from an IoMT perspective, but also from a data perspective.