Abstract: Methodology for user-friendly scoring and rating relative composite quality performance of physician inpatient care uses various statistical methods. Physicians are respectively assigned multiple z-values to identify relative statistical significance associated with a plurality of quality indicators for various clinical categories using available databases. Once so assigned, each z-value is converted to a z-score to rescale to a standard normal distribution. Such z-scores are converted to a percentile value which serves as the physician's relative quality score for each quality indicator. Percentiles are then averaged across quality indicators to produce a raw composite percentile score, which is then resealed to a standard normal distribution using a z-score transformation for appropriate statistical distribution and equal weighting.

Abstract: Methodology for user-friendly scoring and rating relative composite quality performance of hospital inpatient care uses various statistical methods. Hospitals are respectively assigned multiple z-values to identify relative statistical significance associated with a plurality of quality indicators for various clinical categories using available databases. Once so assigned, each z-value is converted to a z-score to rescale to a standard normal distribution. Such z-scores are converted to a percentile value which serves as the hospital's relative quality score for each quality indicator. Percentiles are then averaged across quality indicators to produce a raw composite percentile score, which is then rescaled to a standard normal distribution using a z-score transformation for appropriate statistical distribution and equal weighting.