Week 2: Variance Management Systems Issues

Bob Luttman, Robert Luttman & Associates

                                               
Home Page

Overview

Statistical Issues

Multi-collinearity

Cascade Effect

Sample Size

Halo Effect

Operational Issues: Documentation and Reporting

Too Much Data

Traditional Pathway / Variance Documentation

What's Wrong With This Picture?

Operational Issues: Summary

Legal Issues: Overview

Legal Issues

The Biggest Issue: So What?

Summary and Conclusion

Assignment

Feedback

Questions?

Too Much Data!

Many organizations begin their pathways program trying to collect data on all variances. We call this drinking from the fire hose. You will literally drown in data. In fact, this approach has killed variance programs and even the overall pathways program.

Collecting too much data exacerbates the statistical issues above. It also is a logistical nightmare. Most variance data is worthless, it provides no relevant information for managing or improving processes.

Other organizations attempt to reduce the data collection load by identifying key - or critical - variances: those activities or outcomes that they believe affect some outcome. This is a legitimate option, as long as you can control for multi-collinearity and the halo effect.

Even the latter approach is limited, however, by the traditional clinical pathways/variance documentation format and process.

Home Page | Overview | Statistical Issues | Multi-collinearity | Cascade Effect | Sample Size | Halo Effect | Operational Issues: Documentation and Reporting | Too Much Data | Traditional Pathway / Variance Documentation | What's Wrong With This Picture? | Operational Issues: Summary | Legal Issues: Overview | Legal Issues | The Biggest Issue: So What? | Summary and Conclusion | Assignment | Feedback | Questions?

rluttman@robertluttman.com
Improving Healthcare Across the Continuum