Statistical methods for healthcare regulation: rating, screening and surveillance

@inproceedings{Spiegelhalter2012StatisticalMF,
  title={Statistical methods for healthcare regulation: rating, screening and surveillance},
  author={David J. Spiegelhalter and Christopher Sherlaw-Johnson and Martin Bardsley and Ian Blunt and Christopher Wood and Olivia A. Grigg},
  year={2012}
}
Summary.  Current demand for accountability and efficiency of healthcare organizations, combined with the greater availability of routine data on clinical care and outcomes, has led to an increased focus on statistical methods in healthcare regulation. We consider three different regulatory functions in which statistical analysis plays a vital role: rating organizations, deciding whom to inspect and continuous surveillance for arising problems. A common approach to data standardization based on… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 96 REFERENCES

Use of the false discovery rate when comparing multiple

  • D. I. Ohlssen, D. J. Spiegelhalter
  • 2008
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Use of risk-adjusted CUSUM and RSPRTcharts for monitoring in medical contexts

VIEW 7 EXCERPTS

Funnel plots for institutional comparison

VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Intelligent information: a national system for monitoring clinical performance.

VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL