Author Archives: Michael Italia

Harvest: Data Discovery for Humans

Biomedical data can be a pain to work with. Data lives in multiple places: electronic health records, proprietary vendor databases,  MS Access databases, and even flat files. Furthermore, healthcare data models are often incredibly complex, with multiple temporal attributes and … Continue reading

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Getting the PHI Out (while leaving colors bright and vibrant) [Part 2]

In a previous post, I described our experiences using a software package from MIT (“deid”) for automated removal of PHI from radiology impressions. The technical details of how to prepare a dataset and customize deid would have made that post … Continue reading

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Getting the PHI Out (while leaving colors bright and vibrant) [Part 1]

One of our larger projects right now is a database-backed web application for pediatric hearing research called AudGenDB. Part of the work there involves carefully extracting and cleaning data from the electronic health record (EHR). I could write a whole … Continue reading

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