On the “Moneyball” – Building the Team, Product, and Service to Rival

Breaking Biases

http://www.youtube.com/watch?v=yGf6LNWY9AI

Evolution of an Idea

The White House Harvard Technology Healthcare

• Reduce Turnover 45% - 75%

• Improve Quality of Care and Patient Experience

1996 2001 20142010

Big Data and Preferences

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Big Data and Software Development

Big Data and Hiring in Hospitals

By year, all facilities combined (non-RNs only)    Year Number of employees Numer of terminations Turnover rate Cost to replace

2009 5217 1121 21.49% $ 13,452,000.00

2010 4616 1020 22.10% $ 12,240,000.00

2011 4557 1040 22.82% $ 12,480,000.00

2012 4497 1103 24.53% $ 13,236,000.00

By year, all facilities combined (RNs only)    Year Number of employees Numer of terminations Turnover rate Cost to replace

2009 2326 533 22.91% $ 15,457,000.00

2010 2210 468 21.18% $ 13,572,000.00

2011 2102 389 18.51% $ 11,281,000.00

2012 2070 497 24.01% $ 14,413,000.00

Note: The Joint Commission estimates the cost to replace for RNs to range between $46,000 and $64,000. For purposes of this analysis, we have estimated conservatively at $29,000. Along the same lines, our conservative estimate for the average cost to replace non-RN positions is $12,000. These costs to replace include lost productivity due to ramp-up time for a replacement hire as well as recruiting costs and hiring costs.

Total 2012 Estimated Cost of Turnover: $27,649,000

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Sample Success

  60 days 90 days 180 days 360 days

  Rate Rate Rate Rate

Pegged Recommended Hires 5.7% 8.6% 8.6% 25.7%

         

Pre-Pegged Period 25.0% 27.3% 35.2% 48.9%

Pegged Improvement 77.1% 68.6% 75.7% 47.4%

Turnover Reduction Achieved

Keys to Big Data

• Set Clear Objectives• Prediction?• Segmentation?• What is the Business Goal?

• Define success and figure out how to measure it accurately

• Understand the difference between intended and unintended consequences

Keys to Big Data (Cont’d)

• Carefully map out the work flow for data collection

• Be cautious in presenting results – assume your conclusions are wrong until you know they aren’t

• Define success and figure out how to measure it accurately!!!!

Q&A

Questions?