Predicting length of stay from an electronic patient record system: a primary total knee replacement example
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Informatics,Health Policy,Computer Science Applications
Link
http://link.springer.com/content/pdf/10.1186/1472-6947-14-26.pdf
Reference29 articles.
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2. Webb A: The long goodbye. Health Serv J. in press
3. NHS Institution for Innovation and Improvement, ‘Length of Stay Quality and Service Improvement Tool’. [ http://www.institute.nhs.uk/quality_and_service_improvement_tools/quality_and_service_improvement_tools/length_of_stay.html ]
4. Kulinskaya E, Kornbrot D, Gao H: Length of stay as a performance indicator: robust statistical methodology. IMA J Manag Math. 2005, 16: 369-381. 10.1093/imaman/dpi015.
5. Smith ID, Elton R, Ballantyne JA, Brenkel IJ: Pre-operative predictors of the length of hospital stay in total knee replacement. J Bone Joint Surg. 2008, 90: 1435-1440.
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