OrderRex: clinical order decision support and outcome predictions by data-mining electronic medical records | Zendy

Jonathan H. Chen | Zendy; Tanya Podchiyska | Zendy; Russ B. Altman | Zendy

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OrderRex: clinical order decision support and outcome predictions by data-mining electronic medical records

Author(s) -

Jonathan H. Chen,

Tanya Podchiyska,

Russ B. Altman

Publication year - 2015

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocv091

Subject(s) - recommender system , computer science , benchmark (surveying) , statistic , receiver operating characteristic , clinical decision support system , data mining , decision support system , medical record , machine learning , collaborative filtering , clinical practice , precision and recall , recall , medicine , statistics , family medicine , psychology , mathematics , geodesy , radiology , geography , cognitive psychology

To answer a "grand challenge" in clinical decision support, the authors produced a recommender system that automatically data-mines inpatient decision support from electronic medical records (EMR), analogous to Netflix or Amazon.com's product recommender.

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