Big data refers to a large amount of information collected through digitization. The information collected from various sources will be integrated and analyzed through technology in order to make significant changes in health care. Healthcare analysis has the ability to improve quality of life by reducing costs, providing better patient outcomes, testing and recommending ways to avoid preventable diseases. All of these lead to a better level of treatment strategy, leading to an increase in human life expectancy.
Big data and artificial intelligence can greatly improve the efficiency of the industry and the level of medical security. There are already examples of big data and artificial intelligence working together to improve the efficiency of medical care. At the same time, they can also reduce the burden of our government and produce huge social value. This includes data from laboratory tests, medical imaging, genetic profiling, fluid biopsies and electrocardiograms to insurance claims, clinical trials, prescriptions and academic research. Only based on effective and reasonable data and test data, artificial intelligence technology can gradually give play to its strong advantages.
The most advanced protection, ultimate safety, care for your health. For example, former British Prime Minister Theresa May urged NHS and technology to use AI as a new weapon in research, saying that she would like to see computer algorithms screen out patients’ medical records, genetic data and living habits, so that cancer can be discovered in the early stage and treated at the best time.
Artificial intelligence will provide us with a new way to share data, including breaking the huge profits of the medical industry by using electronic medical records, simplifying revenue cycle coordination and drug supply chain, making patient data more accessible and secure, helping researchers carry out drug development, and synchronizing data from health trackers and wearable devices, The application of sending records to consumers’ health records.
AI must break the prejudices and fears associated with its potential and link it to key areas such as health care. However, through the examples discussed above, AI undoubtedly shows its importance and real-time application in maintenance, diagnosis and treatment. In the next few years, we can make some interesting innovations in the field of medical mobile application development, and there will be a large number of medical discoveries supported and managed by artificial intelligence.