The question, what is healthcare data management, doesn’t have a simple answer. It’s complex and includes many different nuances and challenges. The entire healthcare ecosystem is part of the answer. Simply put, it’s how a healthcare organization manages its data.
That management of data includes keeping it private and observing compliance mandates. It also deals with the data’s accessibility, portability, and interoperability. The amount of healthcare data is increasing every minute. Its value to the delivery of care, reducing costs, and improving public health is immense. However, the true potential of healthcare data remains untapped.
In this post, we’ll look at the ways that we address, what is healthcare data management.
Data Management Includes Moving It
Data movement in healthcare includes many subsets. There are data conversions and data sharing. In a healthcare data conversion, you move patient data from one software platform to another. It sounds easy, but it’s rather complex.
To migrate data successfully, you must:
- Follow compliance guidelines.
- Ensure field matching is accurate.
- Include a robust QA process.
- Move structured and unstructured data.
Those are the pillars of successful healthcare data migrations. Because there is no industry standard for EHRs or pharmacy management solutions, you can’t just copy and paste or use a simple program. It’s a process that requires expertise, testing, and quality controls to deliver the most accurate outcome.
Data sharing is also critical in data moving. Internal and external systems need to exchange data in a secure and consistent process. Data sharing is a data management pain point for many, but it’s necessary to support decision-making and have a holistic view of public health.
Another aspect of sharing is patient access through portals. Most EHRs have this feature and share data automatically, but there may be additional information that patients should be able to retrieve. For example, lab reports are sometimes in other systems, requiring the portal to acquire that data from its host.
Data Management Requires Storing It
Storing data is another segment of healthcare data management. First, you should have secure cloud backups of all your applications and data. This function is imperative for strong cybersecurity practices.
The other element of storing data is archiving it. Healthcare data archiving enables you to move data from active or legacy programs into a centralized repository. It’s then accessible, secure, and searchable. In addition, you’ll be able to meet medical record retention guidelines by archiving.
Data Management Involves Analyzing It
Healthcare data has little value without analysis. By leveraging technology platforms, you can derive critical insights from your data. You can begin to answer micro and macro questions based on the patterns and trends in your data.
Data analytics will likely be the most critical aspect of healthcare data management. It has the potential to improve care delivery and be predictive for both public outcomes and individual patients. Further, it could reduce costs, helps organizations maximize revenue, and more business-focused needs.
What Is Healthcare Data Management? It’s How You Use It
Healthcare data management means many things. What it means to your organization is how you use it. Your data must be accessible, portable, and interoperable to have healthy data operations. When you don’t have those functions, it derails your capabilities. We’re experts in all areas and are a healthcare data partner of choice for many organizations. Explore our healthcare data management solutions today.