by Pei-Syuan Lai
In the past, people only sought doctors’ help at hospital when they felt sick. As time goes by and with the advancement of science and technology, medical care has gradually shifted from treatments on diseases alone in the 1970s to preventive medicine today.
Smart healthcare knows better
The World Health Organization (WHO) defines smart healthcare as “Information and Communication Technology applications in the medical and health fields, including medical care, disease management, public health monitoring, education, and research.” In addition, many scholars believe that it refers also to the integration of medical informatics, public health, and business applications, mainly through the Internet and related technologies to provide more accurate personal healthcare services and health information.
The so-called “smart” refers to training machines using AI (artificial intelligence) to run algorithms based on a large amount of data. In this way, machines are able to develop processing systems that simulate human intelligence, doing what humans are capable of with higher precision. If used in the medical field, machines can deal with tasks with higher efficiency and they do not wear out as easily human workers do.
Smart healthcare solutions
During medical processes, be it identifying early signs or preparing for hospice care, health information plays a crucial role in facilitating the treatment and care for patients, sometimes bringing about different medical researches and diagnoses.
With the widespread use of digital devices and the advancement of big data technology, a large amount of medical data is stored in the cloud and can be accessed through different platforms. This contributes to the foundation for big data analysis as AI technology allows effective summarizing, analyzing, and using of data. Based on the results, doctors can make diagnoses with higher accuracy.
Precision medicine has been another hot topic in recent years. A genetic testing registry is put together by comparing and analyzing genetic testing, protein tests, and patients’ health information. This allows doctors to provide patients with more
AI in medical imaging, on the other hand, is also widely used in clinical diagnoses and treatments for various diseases. Because of this technology, time for diagnosis is shortened, while the accuracy is increased. With improved clinical medicine and care, medical professionals can have more time to rest. Meanwhile, staff burnout is avoided, and healthcare cost is reduced.
Conclusion
By combining medicine and technology, the medical industry has a promising future, where there are new opportunities in the market. At the same time, through information circulation among platforms, new products developed can also bring businesses to all walks of life.
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