Data Management Pain Points in Healthcare
March 17th, 2021
There are many data management pain points in healthcare. Find out what they are and how to alleviate them.
To say data management is challenging in healthcare is an understatement. Many challenges persist for all healthcare data stakeholders. Regulations create compliance requirements, and a disconnect in interoperability makes data sharing burdensome. These data management pain points can add up and may have your organization looking for ways to alleviate them. As pioneers in data management, we’ve learned a lot over the years and want to provide you with some pain-free solutions.
What Are the Most Agonizing Data Management Pain Points?
There are aches and pains all through the ecosystem that touch compliance, interoperability, aggregation, insights, and more.
Healthcare data requires special care and compliance with HIPAA and other laws. It’s a pain point because it can hinder some areas like interoperability. But the biggest pain is risk and threats. Healthcare is a favorite target of hackers. Healthcare cybersecurity is integral to compliance. That means that any organization that accesses it must have protocols in place along with regular auditing and a strong security posture.
The Interoperability Pain Point
Without integration of systems, fragmentation is a threat to healthcare data and interoperability. That’s just talking about the internal needs. Sharing data with payers, other providers, public health, and consumers isn’t standardized. Regulators are attempting to remediate this, but the fact that the U.S. health system is so fragmented itself doesn’t help. Until streamlining protocols and practices blanket the entire industry, this will continue to be a pain point.
Data Aggregation Is Painful
For providers and payers especially, data aggregation can be difficult. With multiple sources of data, combining it all for analysis, sharing, or other activities is often held up by a lack of IT resource bandwidth. Aggregating data enables you to learn more because there’s more context. From a predictive lens, healthcare organizations and patients would benefit from this analysis. There are ways to do this via APIs and analytics engines. This healthcare big data could significantly improve outcomes.
Moving Data Is Laborious
Just moving data is sometimes an arduous task. Organizations often need to convert data from one health information system (HIS) to another. Others want to retire legacy systems and archive data they still have to retain.
Not having enough resources causes this healthcare data point. Internal expertise on how to migrate data accurately can also be challenging. There are healthcare data pros like InfoWerks that can help you with this heavy lift.
What Are Your Healthcare Data Pain Points?
Your data should be improving operations, not hindering you. However, data can only be helpful when it’s accessible, portable, and interoperable. We’re experts at all three and make data management pain-free. Contact our team today to discuss your healthcare data pain points.