With the considerable changes in cloud computing, there have also been changes with augmented and virtual reality. The healthcare industry has now started the convergence of blockchain, cryptocurrency, VR, and AI. With it being the medical industry usually, they do not adopt new technology until it has been proven safe. However, the latest technology helping to improve transparency and accountability within the healthcare systems. Here are a few types of newer technology and how they can help the medical field.
Blockchain Technology
In the healthcare industry, there are several flaws that include healthcare hierarchy, data ownership, and data security. There have also been situations where health records or history have been mixed up, leading to what could be potential life-threatening situations. With blockchain technology, you can store and manage health insurance information, helping to keep everything sorted and transparent. This would allow patients to manage their own care through a patient-centered model.
Virtual Reality and Augmented Reality
When you think of virtual reality, you think of gaming as that is a huge use of the type of technology. However, it is being widely adopted by the medical field as it is created using real-world data to discover more about the real-world counterpart, usually the patient themselves. This type of technology can allow doctors to see how the treatment affects someone’s physical body anywhere in the world. It can also help provide surgeons with real-time information on the patient’s vitals, procedure details, equipment location, and any other data needed to complete a successful surgery.
Artificial Intelligence
Artificial intelligence is being widely used in healthcare to help diagnose diseases, offer treatment options, and help to improve overall outcomes for patients. Using artificial intelligence allows you to revolutionize the healthcare industry by making it more efficient and cost-effective. The best thing about artificial intelligence is that it can provide accurate diagnoses for patients with rare diseases and treatment decisions after removing all human bias.
