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Data-driven insights have long been an essential part of how healthcare organizations operate. Data is also driving the disruption that is sweeping the global healthcare industry. This is understandable given that a recent IDC study estimates that the Global Datasphere will reach 175 zettabytes by 2025. (175 trillion gigabytes).

As digitization spreads, data is quickly becoming the most valuable resource on the planet. Healthcare businesses are partnering with a healthcare analytics company to consciously migrate toward insight-driven models, in which business decisions, process changes, and technological investments are handled using data knowledge.

Data Engineering Opportunities in Healthcare

The healthcare industry poses a real big data challenge to healthcare platform teams, from high-velocity IoT data to enormous genomics and imaging datasets. High-performance data processing platforms are only one aspect of processing healthcare data; handling complicated evidence-based clinical standards and administrative/compliance rules makes the task considerably more difficult. 

In a similar vein, these solutions must satisfy regulatory submission norms in addition to the regular data visualization challenges. There are also problems with data security. As a result, healthcare data engineering teams face difficulties that are unmatched in other sectors.

If you’re wondering how data and analytics can help to solve critical industry problems in healthcare, keep reading as we decode the top-3 use cases of data engineering in the healthcare industry.

Cost of Delivering Care

Healthcare professionals lack the necessary data to make decisions and bring about meaningful change as a result of the industry’s sluggish adoption of current data and analytics capabilities. 

It is crucial to use data and analytics to spot trends that help healthcare organizations deliver treatment more effectively, decrease errors, better understand risk, lower costs, run their businesses more efficiently, and earn the highest possible reimbursements.

Efficiency and Scale

Modern data and analytics architectures, technologies, and practices can be used to significantly increase the efficiency and scale of data management and analytics systems, enabling a consistent and reliable view of healthcare data, if they are used in the right way (information). Furthermore, these contemporary data and analytics programs often have relative costs that are far lower than those of outdated methodologies and programs.

Data-driven Insights

The volume and variety of healthcare data have increased dramatically as a result of the widespread use of electronic health records systems, medical devices, and digital health, and this trend is only continuing. This offers numerous chances to enhance treatment through clinical research, better care pathways, mobile health, and other means, but it also poses enormous data management and governance difficulties for healthcare companies.

The infrastructures, tools, processes, and policies required to support consistency, access, security, comprehension, trust, and administration of this avalanche of Big Data are in short supply in the healthcare industry. Modern data management, analytics, and governance systems, as well as programmes to transform this data into information, are necessary to unlock the wealth of value contained inside this data.

Advantage Atgeir Solutions as a Leading Healthcare Analytics Company

In addition to the healthcare industry, Atgeir Solutions has vast experience delivering data engineering platforms in a range of business sectors as one of the leaders among healthcare data analytics companies. As the healthcare data companies for global healthcare enterprises, Atgeir Solutions provides a holistic solution to the demands of data engineering. That is why our multifaceted strategy includes traditional data warehouses as well as modern data lakes, cutting-edge DevOps, ETL lifecycle management, a 24×7 support model, and more.


The insights contained in the ever-increasing volume, diversity, and velocity of data being produced should always be leveraged by healthcare organizations. 

Integrating contemporary data and analytics architectures and capabilities is necessary to transform this data into insight, and this can be accomplished by collaborating with a healthcare analytics company such as Atgeir Solutions.

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