I. Electronic Medical Records
By far the most powerful application of big data is the collection of electronic medical records. Every patient has his or her own electronic record, including personal medical history, family medical history, allergies, and all medical test results.
Two, health monitoring
Another innovation in the healthcare industry is ? wearable devices? applications, which report on a patient's health in real time. Similar to the software that analyzes medical data within hospitals, these new analytics devices have the same functionality, but can be used outside of a medical facility, reducing healthcare costs, and allowing patients to be informed of their health at home, while also receiving treatment recommendations from their smart devices. These wearable devices continuously collect health data and store it in the cloud.
Three, healthcare resource allocation
This seemingly impossible task has been aided by the help of big data in some of the ? pilot? units to realize it. In Paris, France, four hospitals use data from multiple sources to predict the number of patients per hospital per day and per hour.
Four, Big Data and Artificial Intelligence
Artificial Intelligence (AI) technology analyzes complex healthcare data through algorithms and software to approximate human cognition. AI thus makes it possible for computer algorithms to predict conclusions without direct human input. AI-enabled brain-computer interfaces can help restore basic human experiences, such as speech and communication functions lost due to neurological disorders and neurological trauma.