Medical centers leverage data-driven technologies to transform healthcare
HEALTHCARE providers from all over the world are waking up to the call to go digital — to meet the dramatic increase in global demand. According to a report, spending on healthcare is expected to reach US$10.059 trillion by 2022.
As a result, medical centers are rushing to analyze data in a bid to better understand the healthcare ecosystem, the population they are serving, and future demand.
In fact, more medical centers are making conscious efforts to employ data-driven solutions like artificial intelligence (AI) and market learning (ML) that would improve healthcare services and work processes.
This became evident during a summit in Bangkok where more than 30 medical centers from Australia, China, Thailand, Malaysia, Indonesia, and New Zealand shared their digital transformation experiences.
During the summit, delegates explained how AI, ML, and the digitalization of healthcare records have shaped the way they’ve approached the healthcare revolution and the route they hope to take in the future.
There is a common vision among these medical centers: To provide services that are seamless for patients while also helping healthcare providers perform efficiently.
In order to achieve these goals, medical centers need to be able to analyze data effectively to gain in-depth insights and make valuable predictions that would help with risk-assessments and decision-making.
AI and ML are viable solutions as they both make mass data processing, analysis, and prediction possible.
The Bangkok’s Bumrungrad International Hospital CIO Kenny Lim explained that both technologies allow them to use data to make predictions about patients’ death risk, sepsis risk, chronic disease risk, as well as hospitalization period.
Clinical predictions, among other things, have tremendously elevated the standards of healthcare services, aside from adding value to healthcare providers’ work performance.
With a wider implementation of AI and ML, healthcare providers will be able to better predict health risks and collect real-time data to assist in effective treatment development.
On another note, digitalizing healthcare records will increase healthcare providers’ access to patients’ complete profiles, helping them save effort during operational procedures.
Digitalizing records will also complement the deployment of AI and ML as historical health records of patients will contribute to more accurate predictions of health risks and help providers understand patients on a holistic level.
Overall, it is clear that data is key to revolutionizing healthcare services that would ultimately improve population health and longevity.
On top of an increasingly valued medical technology sector, we can expect accelerated employment of AI and ML solutions by medical centers in the near future.
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