The Biggest Problem with Modern Data Management and How You Can Fix It

Data drives business transactions. It particularly impacts an organization’s strategic operations, fueling better, more successful, business decisions, but only when it's relevant, timely and, of course, accessible! In the healthcare industry, data is especially valuable because it also saves lives.

Today’s automated processes have no doubt made data acquisition across all industries easier and faster than ever. They capture facts and figures during points of contact and across social media platforms, computers and other systems in such quantities and at such high speeds that organizations have massive stores of information always available with which they can research — and forecast — trends and behaviors. However, just because you possess Big Data, it doesn’t necessarily mean you possess usable data. Indeed, the sheer quantity of data available these days poses the biggest problem for modern data management systems. Here’s how you can fix it:

The Problem of Data Quantity

The problem with modern data management in the healthcare sector isn’t really the massive amount of data (doubling every 18 months!) it must capture, collate and manipulate. After all, the more information that doctors, hospitals, researchers, payors, and other providers have, the better outcomes patients receive. In fact, the biggest problem for modern data management systems is how to build a data network that recognizes and integrates data of the highest quality so that only the highest valued data is added to those ever-growing data caches. Many modern data management systems rely on a static information warehousing approach that sees data merely as points to be placed in a repository and later removed as needed. The increasing push toward fully integrated healthcare services, however, means a variety of care providers are entering, extracting and using data from any one modern data management platform in multiple ways; thus, a single “one size fits all approach” can’t and won’t accommodate the myriad of needs as mandated by each of them. 

How to Fix the Problem with Modern Data Management

Modern data management in the healthcare industry (as well as all others) must ensure proper data quality by layering traditional data management processes with cutting-edge technologies that guarantee security, governance and privacy while still providing the capacity for actionable results. Continuously scouting new data sources, adding trained data scientists to business intelligence teams who can leverage knowledge outputs using complex algorithms and insight and combining cloud architecture with existing servers to house information are the best options for fixing modern data management problems. Together, these types of resources create a dynamic data ecosystem where information actually lives — not just resides. In a data management ecosystem data points are able to interact with one another in ways that bring forth depth and meaning under examination, ensuring relevancy and scalability and, therefore, improving not just operational business practices, but diagnostic and therapeutic patient care, as well.

Want to Learn More?

Modern data management systems must be able to recognize, assemble and retrieve valuable data points so that information remains pertinent and beneficial across the widest range of initiatives. To learn more about maximizing your company’s data management platform, please contact our team at Amitech. Our experience ensures a comprehensive understanding of the healthcare industry, enabling us to develop a data management system that will best support your own unique needs. You can also learn more about our services here.