Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study.
Mark P SendakWilliam RatliffDina SarroElizabeth AldertonJoseph FutomaMichael GaoMarshall NicholsMike RevoirFaraz YasharCorinne MillerKelly Marie KesterSahil SandhuKristin M CoreyNathan BrajerChristelle TanAnthony L LinTres BrownSusan EngelboschKevin J AnstromMadeleine Clare ElishKatherine HellerRebecca DonohoeJason TheilingEric G PoonSuresh BaluArmando D BedoyaCara O'BrienPublished in: JMIR medical informatics (2020)
Machine learning models are commonly developed to enhance clinical decision making, but successful integrations of machine learning into routine clinical care are rare. Although there is no playbook for integrating deep learning into clinical care, learnings from the Sepsis Watch integration can inform efforts to develop machine learning technologies at other health care delivery systems.