Wed, 03/06/2019

Looking to innovate?

During HIMSS, we heard several discussions around bringing together information from many sources, then leveraging that data’s potential. When you unleash that data, (for example, claims data) it helps create a deeper understanding of the patient’s record. CMS pointed out other data management issues such as pushing information back to source systems and the need to better master patient records though they didn't explicitly term them “data management issues”.

If you step back a bit, you’ll notice that the CMS and ONC announcement was really describing a complex data management problem. Forcing siloed healthcare data holders to open up data exchanges through API standards is good, but it’s far from an immediate solution. Healthcare organizations must invest in a data management layer that can handle the complexities of healthcare information across the value chain to create a single version of truth. Some of the challenges include:

  • Multi-domain mastering. Not just the patient domain that CMS mentioned, but physician data mastering (a huge issue for organizations with many downstream impacts)
  • On boarding dozens of data sources preferably without a large team of ETL developers
  • Data cleansing and enrichment
  • Harmonization of hundreds of code sets spanning millions of codes
  • Algorithm management for industry metrics, physician attribution, predictive analysis and other needs

At Information Builders we have developed Omni-HealthData to take on this exact set of challenges. Tracking data sharing developments allowed us to anticipate this eventual push by CMS. Our software solution reflects that by delivering pre-built healthcare models built from the beginning to adhere to the emerging FHIR standard subjects. Additionally, it delivers out-of-the-box support for an extensive portion of the ISA specification today.

This enables our customers to deliver and receive health care data in conformance with the interoperability standards, and importantly, to gain insights into the data through the extensive analytics and algorithm support provided in Omni HealthData.

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