Author

Larry A Nathanson

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

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

Steven HorngiD· 2 shared Abdulhakim Tlimat· 1 shared Ashley L. O’DonoghueiD· 1 shared Charles Safran· 1 shared Colby S. Redfield· 1 shared David Alexander SontagiD· 1 shared David W. SchoenfeldiD· 1 shared Edward A. Ullman· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Steven HorngORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

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

Steven Horng, Joshua W. Joseph, Shelley Calder, Jennifer P. Stevens, Ashley L. O’Donoghue, Charles Safran, Larry A Nathanson, 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.

bioRxiv · Jul 11, 2019 · PreprintBioinformatics

Derivation and Validation of a Record Linkage Algorithm between EMS and the Emergency Department

Colby S. Redfield, Abdulhakim Tlimat, Yoni Halpern, David W. Schoenfeld, Edward A. Ullman, David Alexander Sontag, Larry A Nathanson, Steven Horng

The paper develops and validates a machine learning algorithm to link EMS electronic patient care reports to emergency department records, achieving high sensitivity and positive predictive value.

bioRxiv · Apr 12, 2017 · PreprintBioinformatics