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.
These records are ****enabled to be shared between different healthcare organizations through a secure information system (whether it is secure or not is debatable). Each doctor is able to add or change records in the system without having to go through time-consuming paperwork. These records also help patients keep track of their medications, as well as serving as an important data reference for medical research.
Two, health monitoring
Another innovation in the healthcare industry is ? wearable devices? applications, which are devices that 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, lowering the cost of healthcare, 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 a number of ? 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.
They use a method known as ? time-series analysis? technique to analyze patient admissions over the past 10 years. The study could help researchers discover patterns in patient admissions and use machine learning to find algorithms that can predict future admission patterns.
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.
V. Medical imaging
Medical imaging includes X-rays, MR*** vibro-imaging, and ultrasound, which are all key aspects of the medical process.
Radiologists often need to look at each test result individually, which not only creates a huge workload, but also potentially delays the patient's optimal treatment time. But big data can effectively solve this problem.
On the content of the 5 major applications of big data medical industry, Qingteng Xiaobian will share with you here. If you have a strong interest in big data engineering, I hope this article can help you. If you still want to know more about data analysts, big data engineers tips and materials, you can click on other articles on this site to learn.