Predicting and Improving Dental Productivity - NNOHA.org : National ...
Predicting and Improving Dental Productivity - NNOHA.org : National ... Predicting and Improving Dental Productivity - NNOHA.org : National ...
Our Linear Regression model answers the question: what factors effect the productivity of a dental provider? • Factors tested – Panel size – Continuity rate – NS rate – RVU/visit – Years since graduation • Data Collection – 2 separate 18 month periods – All five measures collected from centricity billing system – Mathematically equalized each provider to FTE • Our expectations – “Experienced providers with stable patient panels and low no show rate are more productive”
Motivation for creating a linear regression model • Numerical representation of provider behavior as explained by various variables • Which variables are actually controllable by admin processes and front desk functions? – panel size – continuity rate – provider clinical experience – no show rate – RVU per visit • beyond the financial benefits to the health center: patient care improved – completed and expedited treatment, – better patient flow, and – less under utilized time as with a no show rate.
- 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: Definition Linear Regression A tech
- 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 and 28: 3.50 3.00 2.50 2.00 1.50 1.00 0.50
- Page 29 and 30: Further analysis… analysis • St
- 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,
Motivation for creating a linear<br />
regression model<br />
• Numerical representation of provider behavior as explained<br />
by various variables<br />
• Which variables are actually controllable by admin<br />
processes <strong>and</strong> front desk functions?<br />
– panel size<br />
– continuity rate<br />
– provider clinical experience<br />
– no show rate<br />
– RVU per visit<br />
• beyond the financial benefits to the health center: patient<br />
care improved<br />
– completed <strong>and</strong> expedited treatment,<br />
– better patient flow, <strong>and</strong><br />
– less under utilized time as with a no show rate.
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