Useful to healthcare providers, severity indices conclude which
patients are most at risk for infection as well as the intensity of
illness while in the hospital. ""Text Mining Techniques for
Healthcare Provider Quality Determination: Methods for Rank
Comparisons"" discusses the general practice of defining a patient
severity index for risk adjustments and comparison of patient
outcomes to assess quality factors. This ""Premier Reference
Source"" examines the consequences of patient severity models and
investigates the general assumptions required to perform standard
severity adjustment.
General
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