The rapidly growing digital healthcare industry … Looking at the 5 trends

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[헬스코리아뉴스 / 박민주] The health care sector is rapidly transforming into digital health care as it is combined with digital technologies such as artificial intelligence, big data, and cloud. Digital technologies such as mobile apps for chronic disease management as well as the use of data collected from wearable devices are changing the healthcare field significantly. In particular, the digital transformation trend is accelerating due to the impact of COVID-19.

In the growth of digital healthcare, what are the trends to focus on?

In the ‘Main Trends of Digital Healthcare Innovation’ announced on the 13th, the Biotechnology Policy Research Center identified the five trends in the digital healthcare industry, including consumer AI, medical big data, cloud data, machine learning new drug development, and personalized genetic testing. presented as

① Consumer AI

(Consumer AI)

Consumer AI is already widely used in the operation of healthcare systems. In addition to cost reduction, it is evaluated that AI will help solve complex problems in health management, such as increasing patient satisfaction and reducing readmission rates and treatment costs.

Consumer AI in healthcare is aided by wearable devices and mobile apps such as Google Fit and Apple HealthKit. Accordingly, it is pointed out that the problem of personal information protection related to health data needs to be resolved.

②Medical big data

(Big Health Data)

Healthcare big data can provide businesses and healthcare providers with insight into patient care, which is emerging as wearable technology proliferates.

More recently, the focus has shifted to developing healthcare big data initiatives that enable secure data exchange between healthcare providers and patients, related to cloud-based technologies that provide real-time tracking of patient health data.

③Cloud data

(Cloud Data)

Cloud computing technology is being evaluated as contributing to opening a new era of digital innovation in the healthcare field. It enables rapid data access and processing, which aids in decision-making by health care providers.

Healthcare organizations are also using cloud-based technologies for information management. This includes solutions such as Electronic Health Records (EHRs) that make it easier for health care providers to store, manage and share data.

Cloud networks have become the basis for telemedicine solutions such as telemedicine monitoring and mobile health services, and in the future, virtual health services will become a viable option for patients who want to be treated at home.

④ Machine learning new drug development

(Drug Discovery with Machine Learning)

As medical big data increases, the introduction of machine learning in the healthcare field is being emphasized. Machine learning refers to predictive analytics that screen vast amounts of medical data and identify patterns that can be used to improve patient outcomes.

In the next few years, machine learning is expected to focus on the discovery of new drug candidates, drug development and application to the overall process of the pharmaceutical industry. Predictive analysis using machine learning is known to fit particularly well with genomic data.

⑤ Personalized genetic testing

(Personalized Genetic Testing)

Genetic testing is segmented into another area that will play an important role in the future of AI and healthcare. Genetic testing is the analysis of an individual’s DNA to predict how they will respond to a particular drug or treatment. Using predictive analytics like this, drug developers can develop personalized treatment plans that can improve the lives of patients with specific conditions.

With the recent spread of personalized genetic testing technology and services, consumers can choose more diversely for genetic testing. Healthcare providers have access to much greater amounts of data to improve patient outcomes and treat patients more effectively.

However, more research is needed to determine the benefits of genetic testing in diverse populations.

“Digital healthcare innovation has gained momentum over the next few years due to the spread of the face-to-face economy caused by COVID-19, an aging population, chronic diseases and rising health care costs,” the report said. At the same time, we will continue to seek digital technologies in ways to improve patient care.”

“With access to smart technology at home, healthcare apps and services, including telemedicine solutions, will increasingly become a viable option for patients seeking quality health care at home.” To support innovation and innovation, global policies and regulations must determine how best to ensure the safety and effectiveness of the use of technologies related to digital healthcare.”

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