Just how “big” any given big data environment is depends on a number of factors. This shouldn’t come as a surprise when one considers that every industry has unique needs and goals, and, as such, their data collection and analysis will naturally differ. (As will the number of subsets and variables for any given business intelligence query.) In regard to big data for healthcare facilities, hospitals, and medical clinics, it’s essential that professionals have a dependable, thorough data analysis system at their disposal. Not only will such a model boost internal efficiency, but it will also help medical professionals produce improved outcomes, avoid costly (and potentially illegal) data-storage errors, and save an operation time and money. Here are answers to three FAQs about the big data healthcare environment:
What Separates Big Data from Data Sciences, Analytics etc.?
To begin with, big data is not synonymous with data sciences, analytics, or business intelligence. While all they are all linked, big data is the foundation upon which meaningful statistical analysis is built. Without big data’s raw intake capabilities, further predictive applications are next to impossible. In other words: if you want data-management solutions, you have to have an existing data source first.
Why Does my Healthcare Facility Need Big Data?
When most professionals think about big-data solutions, they probably assume they will relate to economic matters. And while big data for healthcare can and should help clinics and facilities operate with greater financial autonomy, big data and subsequent data analysis in this field aims to aid doctors and medical professionals in delivering enhanced outcomes for their patients. Consider that data volumes double every 18 months in the medical field, and you’ll begin to see why proper data governance and application is key.
Should I Trust All Big Data Recommendations?
For years, big data was defined by three concepts: volume (size of the data files), variety (diversity of the information), and velocity (how fast can the data be practically applied). In recent times, a fourth “v” –– veracity –– has been added to the list. The key to successful implementation of big data lies in the subsequent analysis and extraction of key, useful bits of information and the ability to spot and remove false trends or “noise.” The bigger the data subset, though, the more difficult it can be to find the proverbial “needles in the haystack.” That’s why it’s imperative for medical companies to partner with a healthcare-specific analytics firm. Without a deep understanding of the industry and the problems therin, productive data analysis is next to impossible.
The Bottom Line
When it comes to big data, details make a huge difference. At Amitech, we have years of experience collaborating closely with professionals in the medical field. What’s more, we understand all the dynamics of data collection and analysis, and we’ll tailor a plan that suits your needs perfectly. Contact us here to get started today!