Samuel Pawel, Rachel Heyard, Charlotte Micheloud, Leonhard Held
Replication of null results: Absence of evidence or evidence of absence?
eLife
published data science tools ever translated academia realworld clinical settings intended one dimension problem software engineering task turning published academic projects tools usable bedside given complexity data ecosystem large health systems task often represents significant barrier realworld deployment data science tools prospective piloting evaluation many information technology companies created machine learning operations mlops teams help tasks scale low penetration homegrown data science tools regular clinical practice precludes formation teams healthcare organizations based experiences deploying data science tools two large academic medical centers beth israel deaconess medical center boston mayo clinic rochester mn propose strategy facilitate transition academic product operational tool defining responsibilities principal investigator data scientist machine learning engineer health system administrator clinician enduser throughout process first enumerate technical resources stakeholders needed prepare model deployment propose approach planning final product work data extraction analysis visualization model outputs finally describe team execute plan hope guide health systems aiming deploy minimum viable data science tools realize value clinical practice