Three approaches to making your healthcare data actionable – what works and what doesn’t
Historically, there have been several ways that healthcare organizations approached clinical data integration, with varying degrees of success.
In the video below, Mike Noshay, Chief Strategy & Marketing Officer at Verinovum, discusses the pros and cons of each of the three approaches, and how to go from merely integrating data to making it insightful and actionable.
The “Highly Structured” Approach
PROS
- Repeatable approach; solid foundation
- Strict data standard guidelines = increased data quality
- Confidence and precision
CONS
- Requires ongoing resources, incremental improvement, manual error remediation
- Error-prone data remediation mapping; mistakes leave data on cutting room floor
The “Ad Hoc/Data Lake” Approach
PROS
- Quickly land data into a central data store
- Potentially cost effective
CONS
- Creates illusion of a useful asset but lacks data quality, precision, structure, context
- Heavy resource draw – continuous data quality review, data science analysis, cleansing
Verinovum’s “Data Curation” Approach
PROS
- Transparency into data quality early and often
- Reliable and traceable data that’s reusable for the next use case
CONS
- New territory – needs additional internal education
- Collaborative ‘partnership’ and resource investment