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Dana-Farber’s Lenane Says Data Quality Should Fit the Decision It Supports

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Dana-Farber’s Lenane Says Data Quality Should Fit the Decision It Supports

Dana-Farber Cancer Institute’s Naomi Lenane explains how definitions, ownership and clinician validation decide which data a health system can act on. Watch below or on YouTube.

Perfectly clean data is out of reach in healthcare, so the standard a data set has to meet should depend on what it will be used for, according to Naomi Lenane, CIO and senior vice president of information services at Dana-Farber Cancer Institute. Speaking on a recent episode of the healthsystemCIO Show, Lenane described how the Boston cancer center weighs cleanliness against speed. She also explained why she puts data definitions ahead of cleanup and what it takes for clinicians to trust AI output. She will bring the same question, which data leaders trust enough to act on, to a session at the CHIME26 Fall Forum in Denver.

After years on the EHR side of IT, where her teams generated data and someone else worried about using it, Lenane now runs the enterprise data warehouse. That added responsibility broadened her focus to who uses each data set and for what. She also questions whether every decision needs perfect data. For example, a clinician making a patient decision needs data as clean as possible. Still, decisions made in the moment also depend on timely data. She gave bed capacity as an example of data usable in real time that would need cleanup before billing.

Clinical data also sits in its own category. A new lab analyzer takes months of validation before clinical use, so physicians can trust what reaches the EHR.


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