Researchers pilot 'model to data' approach to developing predictive algorithms

Healthcare IT News

Kat Jercich

Patient privacy concerns can make it challenging to develop predictive models using data from electronic health records. But a new study published this week in the Journal of the American Medical Informatics Association suggests that researchers can use the "model to data" approach to develop models without having direct access to patient data.

"The focus of the MTD framework is to deliver containerized algorithms to private data, of any standardized form, without exposing the data," said University of Washington researchers in the study.

"With increased computational resources, our platform could...

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