Author

Shelley Calder

Beth Israel Deaconess Medical Center

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:electronic health records· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Steven HorngiD· 2 shared Ashley L. O’DonoghueiD· 1 shared Charles Safran· 1 shared David Alexander SontagiD· 1 shared Evan L. Leventhal· 1 shared Jennifer P. StevensiD· 1 shared Joshua W. JosephiD· 1 shared Larry A Nathanson· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Steven HorngORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 11, 2019

Getting Beyond Interruptive Alerts: Reducing Unintentional Duplicate Orders using a Visual Aid

Steven Horng, Joshua W. Joseph, Shelley Calder…·Evan L. Leventhal

This paper tests if a visual aid reduces unintentional duplicate orders in an EHR by highlighting previously ordered items, finding a 49% decrease in lab orders and 40% in radiology orders.

DOI 10.1101/640318

electronic health recordsstatistical model

BioinformaticsbioRxivPreprintApr 12, 2017

Contextual Autocomplete: A Novel User Interface Using Machine Learning to Improve Ontology Usage and Structured Data Capture for Presenting Problems in the Emergency Department

Nathaniel R. Greenbaum, Yacine Jernite, Yoni Halpern…·Steven Horng

This paper demonstrates a contextual autocomplete system that improves structured data capture and quality in emergency department documentation using machine learning.

5 citations

machine learning (classical)benchmarking