Health IT Analytics October 19, 2023
Shania Kennedy

Healthcare big data mining can provide valuable insights into a patient’s health but may reveal non-disclosed information, raising concerns about patient privacy.

As information technology (IT) methods for disease surveillance, predictive analytics, and clinical decision support become more advanced, big data mining will be crucial to ensure tools use large, high-quality datasets.

Data mining can enable electronic phenotyping— a process to query electronic health records (EHRs) and clinical information systems to extract patient characteristics or conditions for research purposes.

While electronic phenotyping can be useful for use cases such as identifying patients with a particular disease for recruitment in a clinical trial, it can also reveal sensitive patient characteristics not disclosed to a clinician, such as transgender identity.

The revelation...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: Big Data, EMR / EHR, Health IT, Healthcare System, Patient / Consumer, Privacy / Security, Provider, Technology
Reevaluating Data Platforms In The Age Of AI
AI Is Nothing Without An AI-Ready Data Strategy
hc1 Acquires Lab Expert Accumen to Expand Data-Driven Lab Insights
Big Data Unicorn Innovaccer’s Latest Report Indicates 87% Of Healthcare Providers Want AI
The Inseparable Triad: Why Cloud Migration Is Essential For Data And AI Strategies

Share This Article