Predicting risk of hospitalization or death among patients receiving primary care in the Veterans Health Administration.

@article{Wang2013PredictingRO,
  title={Predicting risk of hospitalization or death among patients receiving primary care in the Veterans Health Administration.},
  author={Li Wang and Brian B Porter and Charles Maynard and Ginger A. Evans and Christopher L Bryson and Haili Sun and Indra N. Gupta and Elliott Lowy and Mary McDonell and Kathleen L. Frisbee and Christopher Nielson and Fred Kirkland and Stephan D. Fihn},
  journal={Medical care},
  year={2013},
  volume={51 4},
  pages={
          368-73
        }
}
BACKGROUND Statistical models that identify patients at elevated risk of death or hospitalization have focused on population subsets, such as those with a specific clinical condition or hospitalized patients. Most models have limitations for clinical use. Our objective was to develop models that identified high-risk primary care patients. METHODS Using the Primary Care Management Module in the Veterans Health Administration (VHA)'s Corporate Data Warehouse, we identified all patients who were… CONTINUE READING
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