Automation is everywhere – in our phones, in our cars, in our homes. The Internet of Things (IoT) is an inter-operational network of physical devices, vehicles, and other electronic items. The network enables all of these devices to connect to …
Predictive analytics is a rapidly growing area of data science. It uses various statistical techniques, such as predictive modeling and machine learning, to make predictions about unknown future events. In healthcare, predictive analytics analyzes historical and real-time data to identify …
For decades, medical professionals and other players in the healthcare industry have been generating massive piles of data. New tech-savvy tools that allow users to connect structured and unstructured data presents a unique way to derive meaning from this large …
Big data refers to massive bits or sets of data – both structured and unstructured. Analyzed computationally, it intends to reveal trends, patterns, and associations – especially in human behavior. It also has one or more of the following characteristics: …
The intersection between medicine and technology can be quite confusing. Often times, the terms telemedicine and telehealth are used interchangeably. However, there is a distinction between the two.
Telemedicine is the practice of medicine using technology to deliver care at …
Interoperability refers to the ability of computer systems or software to communicate, exchange, and make use of information. In order for two systems to be interoperable, they must be able to exchange data and then present that data in a …
Artificial intelligence (AI) and deep learning are revolutionizing the healthcare industry on a global level. They are practical tools that are helping medical universities, hospitals, and other healthcare organizations to optimize their services, improve the standard of care, and reduce …
