Given the growth and proliferation of new data sources across the digital health landscape and the data sharing mandate of utilizing FHIR-based APIs to transfer that data, it becomes even more essential for healthcare stakeholders to identify strategies and solutions that can support them in efficiently leveraging harmonized data to inform and improve patient health, address health inequalities, and ensure accurate and reliable reporting, analytics, and even machine learning models.
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Social Determinants of Health affects as much as 50% of health outcomes.

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Nearly 2/3 of clinicians utilize the services of Health Information Exchanges (HIEs) to exchange data.

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Without a terminology server, it takes an average of 10 hours to update 1 dataset.

Watch this webinar, “Strategies for the Digital Health Data Tsunami,” to hear experts discuss:

  1. Best practices for ensuring your algorithms and machine learning models are leveraging reliable data
  2. Challenges the healthcare industry is facing given the volumes of disparate data being generated within the ecosystem
  3. Adoption of the ONC Gravity Project’s, SDOH standards to advance health equity in a standards-based approach
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