|A doctor using big data and artificial intelligence for her consultation with her patients. / Photo by: wrightstudio via 123RF|
Advances in big data research and artificial intelligence have led to the development of more efficient systems, including those used in healthcare. The union between healthcare, big data, and AI will be beneficial to all by virtue of the trends expounded by Benjamin Roussey, writing for TechGenix.
More Accessible Treatment
Microsoft has developed an AI program that can analyze cancer cells in various patients, making it possible for doctors to detect health issues at an early stage. Furthermore, there are AI and big data procedures for monitoring and processing patient data that help decrease, and sometimes totally eliminate, guesswork from diagnosis. They also reduce patient turnover time and give doctors the opportunity to serve more patients.
Medical Data Protection
Data security is increasingly becoming a major concern as the use of technology becomes more prevalent in health care. Even if the capability to track potential diseases is already existing, improvements have to be made to protect that information. Concerns related to security, privacy, and encryption will take even more precedence as new developments occur in the realm of healthcare technology, AI, and big data.
Automation of Healthcare Diagnosis
The widespread use of AI and big data in healthcare enables the monitoring of complex patterns. This results in increased effectiveness when it comes to identifying diseases and forming a correct diagnosis. For instance, ultrasound procedures now use cloud-based systems, AI, and 3D imaging technology for better precision and accuracy.
Rise of Virtual Follow-ups
There is no need for healthcare professionals to spend countless hours following up processes because patients now have the option of doing it via digital processes and tools. Such an option, however, may not be suitable for diseases and symptoms, like chronic pain, which are treated only after extensive testing and multiple visits and checkups.
Discovery of New Drugs
Big data have helped researchers in making astounding progress finding new and better drugs. With the help of predictive analysis, many firms are focusing more on deep learning technologies to hasten the pace of drug discovery.