Data virtualization (DV) is making inroads in the healthcare industry. It continues to be a hot topic with many leading industry gurus calling it as a potential game-changer.
What most of these experts are opining is that how this seemingly new approach to data management can help them in cost optimization and efficiencies. Understandably, this aspect, out of many others, is of increasing interest to them and us.
Data Virtualization Interest Is On the Rise
While most organizations in the healthcare industry have derived a lot of value and quality from the digital revolution, others are not able to meet the challenge of data integration thanks due to ever-present bottlenecks of data silos and different frameworks. Moreover, even mergers and acquisitions of large healthcare conglomerates have resulted in the replication of records that are directly dependent upon archaic frameworks or on proprietary code. Compounding the situation, joining these frameworks is tied with strict HIPAA legislation and mandates, not to mention steep costs.
Fortunately, there is a solution to such a problem. It allows for efficient data integration without having to physically alter its present location. You can achieve that with virtualization technology. It empowers doctor’s facilities, clinics, labs, care providers, hospitals, and other healthcare systems to construct a more agile data architecture by providing real-time continuous data access to existing electronic medical records (EMR) or electronic health record (EHR) systems including patient portals without making any changes to the original source code.
The Value of Data Virtualization
While the phenomenal growth of data and adoption of latest data hk business intelligence (BI) tools are two major impetuses that are fundamental to enhanced data integration, there are other key benefits that can be achieved without ruling out your core business requirements, and this new technique comes to the rescue, offering the following benefits:
Faster access to data: As healthcare organizations grow, integration of data from disparate sources, internal and external, becomes a problem. Faster access to data through data virtualization offers the potential to pull data together from multiple available sources and data silos. Through a common interface of enterprise-wide data platform, access to critical patient information is simplified, regardless of location and format.