An Overview of the Most Recent Advances in Healthcare: How Data Will Change the Way Patients Are Treated

The volume and complexity of big data in healthcare have created opportunities to develop new analytical tools and methods. Artificial intelligence (AI) is increasingly being used to create new technologies that will transform patient care, administrative and delivery processes, and pharmaceutical treatments. Continuous patient monitoring is now possible for any health condition, including patients with diabetes, Parkinson’s, and cardiovascular diseases. AI appears to be promising in terms of effectively saving clinicians’ time, improving diagnostic and prognosis procedures, and organising and managing healthcare. However, there are serious concerns about the safety and security of electronic health records and patient information. Therefore, AI software engineers and businesses must address a series of issues, including the validation, reliability, and accuracy of machine learning procedures, the collection of big data via the internet of things, data security, privacy breaches, and encryption.