Detecting adverse events for patient safety research: a review of current methodologies

By H. Murff, Vimla L. Patel, George Hripcsak, David W. Bates. Journal of Biomedical Informatics, 2003

361 citations recorded by the source corpus.

Subfields: Emergency Medical Services, Family Practice, Health Information Management

View Paper: https://www.semanticscholar.org/paper/04d4b12f170482506712e1e478a674b90799edbc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Emergency Medical Services

1. R. Lazowski
2. Chris S. Hulleman

In Family Practice

1. Wendy W. Chapman

In Health Information Management

1. Dina Demner-Fushman
2. Wendy W. Chapman
3. Donald M. Berwick
4. Clement J. McDonald
5. Walter Daelemans
6. Simon Suster
7. R. Lazowski
8. Chris S. Hulleman

Citations in the corpus

• Five System Barriers to Achieving Ultrasafe Health Care (2005, background): “The rates of adverse events are most likely reasonably convergent in the published literature, but some investigators have pointed out the importance of an accurate numerator and denominator in the calculation (21, 22).”
• What can Natural Language Processing do for Clinical Decision Support? (2009, background): “found the electronic discharge summaries to be an excellent source for detecting adverse events; however, practically useful automatic detection of those events could not be achieved using simple keyword queries to trigger an alert [78].”