“Beyond aligning clinical data desires to business objectives, IT must be prepared to enable clinical data for enterprise use — which involves closing technology and process gaps. CIOs must assess IT’s readiness to acquire clinical data from across the care continuum, prepare it for downstream consumption and deploy it into operational workflows,” according to the Gartner report, “U.S. Healthcare Payer CIOs Should Avoid Data Lake Mistakes with Clinical Data Integration.”
Verinovum recognizes the challenges that come with having too much “dirty” data in data lakes for ACOs, CINs, providers, and payers alike and is pleased to be cited as a sample vendor in several Gartner reports about data integration for payers and healthcare providers, including the aforementioned healthcare payer report.
The Gartner healthcare payer report reads:
“Your business objectives are clearly aligned to CDI initiatives, and the IT organization is ready to enable clinical data for enterprise application use. However, it is critical to compare commercial vendor solutions to internal capabilities before diving into a data lake investment. Vendors offer both end-to-end solution options (such as interfacing with EHRs, standardizing outputs, applying taxonomies and ontologies, preparing the data for consumption, sharing data, and delivering use-case-based insights) and narrowly targeted offerings.”
Analytic databases that rely on clinical information collected from numerous endpoints are plagued by a lack of uniformity and standardization in the data feeds they are consolidating. As a result, a significant portion of patient records:
- May be ignored entirely
- May lack the correct, properly formatted, standardized codes required to match the exacting criteria of risk stratification algorithms
- Or may lack carefully constructed numerator and denominator definitions of quality metrics for population health
To address these issues, Verinovum has created a data enrichment and clinical integration hub that can diagnose and remediate healthcare data quality problems. Our newest offering, Data Curation as a Service, extends the resolved and enriched cross-institution dataset back to the customer for incorporation into their BI and analytics workflows, enabling a wide array of quality improvement risk reduction activities. Better health data leads to better patient outcomes, better experiences, and lower costs.
Gartner U.S Healthcare Payer CIOs Should Avoid Data Lake Mistakes with Clinical Data Integration, May 3, 2018
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