Predicting and Improving Dental Productivity - NNOHA.org : National ...
Predicting and Improving Dental Productivity - NNOHA.org : National ... Predicting and Improving Dental Productivity - NNOHA.org : National ...
• Obtain the “best possible” hire • Optimize the panel size • Minimize the NS rate How do we now use this • Monitor RVU/Visit in addition to visit count…know what your docs are doing information… information • don't limit the procedures that the dentist can do…keep them interested in working, happy dentist * = productive dentist *employee satisfaction…
Further analysis… analysis • Strip out the outliers • Looks for other tangible variables – Additional data points needed – Increased length of time? • Examine intangible variables: 38% – Personality – Language ability – Special skills – Special interests • Local factors in each community – Different towns = different communities with different needs – What if any is the effect on provider productivity – Mobile vs permanent sites • Prospective analysis of each provider hired against predicted productivity
- Page 1 and 2: Predicting and Improving Dental Pro
- Page 3 and 4: CHC Mission Statement Since 1972 Co
- Page 5 and 6: CHC Dental Clinic Background • 8
- Page 7 and 8: What is the scope? • Basic restor
- Page 9 and 10: CHC Responses To The Problem Macro
- Page 11 and 12: Definition Linear Regression A tech
- Page 13 and 14: Motivation for creating a linear re
- Page 15 and 16: Variable definitions cont… cont
- Page 17 and 18: Factors effecting individual produc
- Page 19 and 20: SUMMARY OUTPUT Regression Statistic
- Page 21 and 22: Results and interpretation • All
- Page 23 and 24: Panel Size and Productivity •Stro
- Page 25 and 26: 120% 100% 80% 60% 40% 20% 0% N/S ra
- Page 27: 3.50 3.00 2.50 2.00 1.50 1.00 0.50
- Page 31 and 32: Physical Flow of Patients • Float
- Page 33 and 34: Instrumentation • Rotary endo and
- Page 35 and 36: Groundwork for Advanced • Demand
- Page 37 and 38: The New System • Advanced Access
- Page 39 and 40: How does it help with access to car
- Page 41 and 42: How Do You Support (Or Impede) Supp
- Page 43 and 44: Measure, Communicate, Investigate
- Page 45 and 46: Daily Reporting of Capacity Utiliza
- Page 47 and 48: 350 300 250 200 150 100 50 0 Dental
- Page 49: Effective Communication of the Goal
- Page 52 and 53: Tie it all Together • Recruit and
- Page 54 and 55: Tie it all Together • Increased P
- Page 56: Contact Information Stewart Joslin,
Further analysis… analysis<br />
• Strip out the outliers<br />
• Looks for other tangible variables<br />
– Additional data points needed<br />
– Increased length of time?<br />
• Examine intangible variables: 38%<br />
– Personality<br />
– Language ability<br />
– Special skills<br />
– Special interests<br />
• Local factors in each community<br />
– Different towns = different communities with different needs<br />
– What if any is the effect on provider productivity<br />
– Mobile vs permanent sites<br />
• Prospective analysis of each provider hired against predicted<br />
productivity