25 May
2022
The rapidly evolving field of big data analytics has offered various tools for collecting, managing, analyzing, and leveraging a massive volume of structured & unstructured data generated by healthcare systems. The application of big data analytics in healthcare has given a lot of positive and also lifesaving outcomes. Several researchers are using big data analytics to collect patient treatment records and are analyzing treatment plans & recovery rates of patients suffering from cancer, tumor, and so many other diseases so that the healthcare sector can come up with better treatment outcomes.
One of the most widespread applications of big data in healthcare is Electronic Health Records (EHRs). Kaiser Permanente in the U.S. implemented a system named Health Connect that can share data and make it easier to use EHRs. Data records are shared via secure information systems. Doctors & other healthcare exporters from both the public and private sectors can view the information and can implement changes over time.
Moreover, Clinical Decision Support (CDS) software is another example of data analytics in healthcare that can offer medical data in real-time. It allows doctors to keep an eye on patients even while patients are away from the hospital. This sophisticated tool monitors patients’ data and sends an alarm every time the results are disturbing.
According to a report published by Allied Market Research, the North America big data analytics in healthcare market size is anticipated to reach $34.16 billion with a considerable CAGR from 2018 to 2025. Certain factors such as an increase in demand for cost-effective medication processes, improvement in healthcare management, and advancements in the hospitalization process in this region are driving the growth of the market in more than one way.
In addition, favorable policies and investments by the government for the healthcare sector in the developed economies like the U.S. and Canada are contributing to the growth of the market even more. For instance, numerous incentive payments have been provided to the healthcare providers for the adoption of Electronic Medical Records (EMRs).
Furthermore, continuous growth in a number of medical data generated in the form of biometric data, sensors data, and others are fueling the need to adopt big data analytics solutions for population health management in the healthcare industry. With this drift on board, the improved planning, predictive analysis, and insightful decision making by using cloud analytics tools is going to become mainstream requirements, which in turn, will provide immense growth opportunities to the market in the near future.
Koyel Ghosh
Authors Bio- Koyel Ghosh is a blogger with a strong passion and enjoys writing in miscellaneous domains, as she believes it lets her explore a wide variety of niches. She has an innate interest in creativity and enjoys experimenting with different writing styles. A writer who never stops imagining, she has been serving the corporate industry for the last five years.
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