Simplified Data Quality Enforcement with Databricks

 

Faced with clinician shortages, an aging population, and stagnant health outcomes, the healthcare industry has the potential to greatly benefit from disruptive technologies such as artificial intelligence. However, high quality and usable data are the lifeblood of any advanced analytics or machine learning system, and in the highly complex healthcare industry, data quality (DQ) has historically been poor, with limited standards and inconsistent implementations. With the potential to impact a patient's care and health outcomes, making sure healthcare data is of high quality and usable couldn't have higher stakes. As a result, healthcare companies need to ensure their foundational data is truly usable – defined as accurate, complete, timely, relevant, versatile and use case and application agnostic – before using it to train advanced machine learning models and unlock the promise of artificial intelligence.

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https://www.databricks.com/blog/driving-data-usability-health-plans-through-simplified-data-quality-enforcement-databricks

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