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EPR-delivered CPOE adoption rates PredictReduced LOS: The impact of high capability EMRs/EPRs 
Professor Steven H. Shaha, PhD, DBA 
Richard Schreiber, MD 
Kevin Peters, RPh
Prof. Steven H. Shaha, PhD, DBAProfessor, Center for Public Policy & AdministrationPrincipal Outcomes Consultant, AllscriptsFormer Director of Research, KLAS 
100+ peer-reviewed publications, 200+ peer-reviewed presentations, 2 books 
Advisory and consulting work for 11 governments on four continents 
Professor or Lectured or at 14 universities and graduate schools 
e.g. UCLA, Harvard, Cambridge (UK), King’s College, London University, South Manchester, Yale, Princeton, Columbia, Cornell, Zayed Univ(UAE) 
Advisory and consulting to 50+ non-healthcare organisations, including 
Disney, Ritz-Carlton, Coca-Cola, New Line Cinema, IBM, AT&T, 
Time Warner, Johnson & Johnson, Marriott, 3 Depts. of Defense, 
and Pharma: Sanofi, Aventis, Novartis 
Education: 
PhD, Research Methods & Applied Statistics 
DBA, Business Administration (PhD) 
MA, MEd, BS 
Disclosures & Bio
Sample of Peer-reviewed Journals 
•Advance for Health Information Executives 
•Advances in Patient Safety 
•Agency for Healthcare Res & Qual(AHRQJournal) 
•American Journal of Ob & Gynecology 
•American Journal of Sports Medicine 
•Applied Clinical Informatics 
•Archives of Otolaryngology, Head &Neck Surg 
•Breast Cancer Research and Treatment 
•British Medical Journal of Quality & Safety 
•Epidemiology and Infection 
•Health Management Technology 
•Healthcare Financial Management 
•Healthcare Technology Management 
•Intl. Journal of Medical Informatics 
•Intl. Journal of Pediatric Otorhinolaryngology 
•Intl. Journal for Quality in Health Care 
•Journal of Arthroscopic and Related Surgery 
•Journal of Clinical Ultrasound 
•Journal of Emergency Nursing 
•Journal of Mat, Fetal & Neonatology Med 
•Journal of Neurosurgery 
•Journal of Obstetrics and Gynecology 
•Journal of Orthopedic Trauma 
•Journal of Pediatric Emergency Care 
•Journal of Perinatal Medicine 
•Journal of Perinatology 
•Journal of Shoulder and Elbow Surgery 
•Journal of the Am Acadof PedOphth& Strab 
•Journal of Ultrasound in Medicine 
•Journal of Ultrasound in Ob & Gynecology 
•Laryngoscope 
•Nurse Executive Watch 
•Nurse Leader 
•Nursing Economics 
•Pediatric Critical Care Medicine 
•Pediatric Emergency Care 
•Pediatrics 
•RN Magazine 
•Spine 
•Intl. Journal of Pediatric Otorhinolaryngology 
•The Journal of Bone & Joint Surgery 
•Ultrasound in Obstetrics & Gynecology
The Dynamics in HealthcarePressure on every aspect of performance 
“Variable demand with fixed capacity & poor patient flow.” 
“Safety, quality and 
value-based delivery.” 
“Do more with less.”
Methods: EPR SQL Query 
•Retrospective, correlational, interrupted time series 
•66 consecutive months, 22 consecutive quarters 
•76,972 discharges with 6,135,994 eligible orders from all inpatient floors: 
–All pharmacy (medication and intravenous) 
–Laboratory 
–Cardiology 
–Radiology imaging 
–Nursing care 
–Admission/discharge/transfer 
–Consult 
–Respiratory therapy 
–Ancillary services (physical, occupational, and speech) 
–Dietary 
6 11/11/2014
Methods (cont.) 
•All orders were integrated into the EMR/EPR: 
–Source of the CPOE 
–Corresponding results retrieval and repository 
•Exclusions: 
–Verbal orders 
–Emergency department med order 
7 11/11/2014
• Inverse relationship of LOS to CPOE Adoption 
3.80 
3.90 
4.00 
4.10 
4.20 
4.30 
4.40 
4.50 
0 
10 
20 
30 
40 
50 
60 
70 
80 
90 
100 
Pre Yr 1 
Q1 
Yr 1 
Q2 
Yr 1 
Q3 
Yr 1 
Q4 
Yr 2 
Q1 
Yr 2 
Q2 
Yr 2 
Q3 
Yr 2 
Q4 
Yr 3 
Q1 
Yr 3 
Q2 
Yr 3 
Q3 
Yr 3 
Q4 
Yr 4 
Q1 
Yr 4 
Q2 
Yr 4 
Q3 
Yr 4 
Q4 
Yr 5 
Q1 
Yr 5 
Q2 
Yr 5 
Q3 
Yr 5 
Q4 
CPOE % LOS Smoothed 
Percent CPOE Adoption 
Mean LOS 
As CPOE adoption Rose, LOS Fell …
Discipline r Value Percent p-Value 
House-Wide -0.798 0.637 63.7% <0.001 
Cardiology -0.278 0.077 7.7% 0.036 
Family Medicine -0.431 0.186 18.6% 0.008 
Hospitalists -0.297 0.088 8.8% 0.032 
Internal Medicine -0.799 0.638 63.8% <0.001 
General Medicine -0.918 0.843 84.3% <0.001 
Nephrology -0.513 0.263 26.3% 0.003 
Hematology/Oncology -0.367 0.135 13.5% 0.015 
Pulmonary -0.301 0.091 9.1% 0.031 
General Surgery -0.695 0.483 48.3% <0.001 
Orthopedic Surgery -0.782 0.612 61.2% <0.001 
Thoracic Surgery -0.335 0.112 11.2% 0.022 
Vascular Surgery -0.552 0.305 30.5% 0.002 
Urology -0.483 0.233 23.3% 0.004 
R2 
• Predictive relationship for each discipline 
… for each specialty:
22 quarters, the case mix index (CMI) increased slightly but significantly 
•for the organization as a whole 
•as well as for 13 disciplines 
•all concurrent with significant reductions in LOS for comparable time periods 
NOT Attributable to Reduced Severity:
Further Analyses …
•Inverse relationship of LOS to CPOE Adoption 
•The linear regression model: p<0.001 
3.904.004.104.204.304.404.500.0%20.0%40.0%60.0%80.0%100.0% Average LOS -mvg avg Percent CPOE AdoptionCPOE as Predictor of LOS
3.90 
4.00 
4.10 
4.20 
4.30 
4.40 
4.50 
0.0% 20.0% 40.0% 60.0% 80.0% 100.0% 
Average LOS - mvg avg 
Percent CPOE Adoption 
Polynomial model revealed the curvilinear relationship as 
most significant solution: R² = 0.887 
Representing a 25.03% increase in the R-square over the simple linear 
model
3.90 
4.00 
4.10 
4.20 
4.30 
4.40 
4.50 
0.0% 20.0% 40.0% 60.0% 80.0% 100.0% 
Average LOS - mvg avg 
Percent CPOE Adoption 
Clear indication of an inflection point at approx. 60%CPOE adoption 
LOS begins to statistically fall as CPOE adoption reaches critical level 
Precise inflection 58.31%, standard error of 4.05 (95% confidence interval 54.26-62.36%) 
SQL with Analytics: Study, Test, Monitor
All EPRs? 
Not guaranteed!
Average EMR Satisfaction 
Average EMR Satisfaction 
Shaha SH (2013). Comparative EPR Usability form the Clinician Perspective: What works and what doesn’t for impacting care. Digital Health Service Delivery – The Future Is Now. HIC 2013 
Proceedings, Health Information Society of Australia, Melbourne, pg. 122. 
Shaha SH (2013). Benefits and Outcomes: Models for Getting the Most Out of Your EPR. EPR Awareness Forum: Sharing Best Practice from UK, Europe and the US, Manchester, UK, May 2013. 
Shaha SH (2013). Clinical Systems Applications and Related technology: Today and into the Future. HC 2013: The National Health IT Conf & Exh, Birmingham, England, April 2013.
Quick Example of Win-Win Teamwork …
Without 
With CDS-rich 
Order Set 
0% 
10% 
20% 
30% 
40% 
50% 
60% 
70% 
80% 
90% 
100% 
Impact of Stroke Admission Order Set: 
Comparative Quality with versus without 
Improved Stroke Outcomes 
Impact of Stroke Outcomes Toolkit: 
Comparative with versus without 
CDS-rich Order Set 
40.5% net 
Greater Clinical 
Excellence 
80%+ Change 
Stroke Care Best Practices 
CPOE with Alerts Alone
Length of Stay 
Discharge Patterns 
CDS-rich Order Set Without Order Set 
Discharge to Home Discharge to SNF Discharge to IP Rehab 
Cost-per-Case Impact 
CDS-rich Order Set Without Order Set 
Average Direct Cost/Case Average Indirect Cost/Case 
16.0% 
fewer (p<.001) 
11.4% lower Cost-per-Case 
$ 628 avg (p<.05) 
Readmissions in 31 Days 
35.7 % fewer 
(p<.001) 
Improved Stroke Outcomes 
9.4% more 
(p<.001) 
21.4% 
fewer (p<.001) 
12.7% lower Cost-per-Case 
$249 avg (p<.05) 
7.5% lower 
0.35 fewer days avg. (p<.001) 
CPOE with Alerts Alone 
Est. Savings of $265k-$560k annualized 
CDS-rich Order Set
16.0% fewer 
(p<.001) 
Discharge Patterns 
Improved Stroke Outcomes 
Continue after Discharged 
9.4% more 
(p<.001) 
21.4% fewer 
(p<.001) 
CDS-rich Order Set CPOE with Alerts Alone 
Discharge to Home Discharge to SNF Discharge to IP Rehab
Care Coord Network Pre 
Readmissions in 31 Days Length of Stay 
Significantly fewer 
(p<.001) 
Better Outcomes after Discharge 
Admissions to Nursing Homes and 
Residential Age Care Facilities 
Care Coord Network Pre 
Significantly shorter 
(p<.001) 
Additional Efficiencies 
• Capacity for 130 additional admissions 
with NO staffing increases 
CPOE and Alerts alone 
CDS-rich Order Set
Discharge to Home Discharge to SNF Discharge to IP Rehab 
16.0% fewer 
(p<.001) 
Discharge Patterns 
Improved Stroke Outcomes 
Continue after Discharged 
9.4% more 
(p<.001) 
21.4% fewer 
(p<.001) 
CPOE and Alerts alone 
CDS-rich Order Set
Readmissions in 31 Days 
Better Outcomes after Discharge 
Discharges to Home 
Significantly fewer (p<.001) 
And … 
•Fewer ED/A&Evisits (p<.01) 
•Fewer clinic visits (p<.01) 
•Fewer PCP interactions (p<.01) 
CPOEand Alerts alone 
CDS-rich Order Set
2 
4
Lessons Learnt: •The EMR is not “electronified paper” 
• Computers that Compute 
• Programmability 
• Clinical Intelligence 
•Adaptability and Interoperability 
• Rigidity vs. Openness 
•Local Innovation then Broader 
Standardization 
• “What work here with our needs and capabilities” 
• Try, refine, prove … then standardize … then innovate 
•Access to Clinical Data 
•Community Connectivity 
•Outcomes-driven 
• Clinical 
• Efficiency 
• Cash Releasing and Cost Reducing 
• Clinician Satisfaction
Levels of Information: Needs and Perspectives

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EPR-delivered CPOE adoption rates predict reduced LOS

  • 1. EPR-delivered CPOE adoption rates PredictReduced LOS: The impact of high capability EMRs/EPRs Professor Steven H. Shaha, PhD, DBA Richard Schreiber, MD Kevin Peters, RPh
  • 2. Prof. Steven H. Shaha, PhD, DBAProfessor, Center for Public Policy & AdministrationPrincipal Outcomes Consultant, AllscriptsFormer Director of Research, KLAS 100+ peer-reviewed publications, 200+ peer-reviewed presentations, 2 books Advisory and consulting work for 11 governments on four continents Professor or Lectured or at 14 universities and graduate schools e.g. UCLA, Harvard, Cambridge (UK), King’s College, London University, South Manchester, Yale, Princeton, Columbia, Cornell, Zayed Univ(UAE) Advisory and consulting to 50+ non-healthcare organisations, including Disney, Ritz-Carlton, Coca-Cola, New Line Cinema, IBM, AT&T, Time Warner, Johnson & Johnson, Marriott, 3 Depts. of Defense, and Pharma: Sanofi, Aventis, Novartis Education: PhD, Research Methods & Applied Statistics DBA, Business Administration (PhD) MA, MEd, BS Disclosures & Bio
  • 3. Sample of Peer-reviewed Journals •Advance for Health Information Executives •Advances in Patient Safety •Agency for Healthcare Res & Qual(AHRQJournal) •American Journal of Ob & Gynecology •American Journal of Sports Medicine •Applied Clinical Informatics •Archives of Otolaryngology, Head &Neck Surg •Breast Cancer Research and Treatment •British Medical Journal of Quality & Safety •Epidemiology and Infection •Health Management Technology •Healthcare Financial Management •Healthcare Technology Management •Intl. Journal of Medical Informatics •Intl. Journal of Pediatric Otorhinolaryngology •Intl. Journal for Quality in Health Care •Journal of Arthroscopic and Related Surgery •Journal of Clinical Ultrasound •Journal of Emergency Nursing •Journal of Mat, Fetal & Neonatology Med •Journal of Neurosurgery •Journal of Obstetrics and Gynecology •Journal of Orthopedic Trauma •Journal of Pediatric Emergency Care •Journal of Perinatal Medicine •Journal of Perinatology •Journal of Shoulder and Elbow Surgery •Journal of the Am Acadof PedOphth& Strab •Journal of Ultrasound in Medicine •Journal of Ultrasound in Ob & Gynecology •Laryngoscope •Nurse Executive Watch •Nurse Leader •Nursing Economics •Pediatric Critical Care Medicine •Pediatric Emergency Care •Pediatrics •RN Magazine •Spine •Intl. Journal of Pediatric Otorhinolaryngology •The Journal of Bone & Joint Surgery •Ultrasound in Obstetrics & Gynecology
  • 4.
  • 5. The Dynamics in HealthcarePressure on every aspect of performance “Variable demand with fixed capacity & poor patient flow.” “Safety, quality and value-based delivery.” “Do more with less.”
  • 6. Methods: EPR SQL Query •Retrospective, correlational, interrupted time series •66 consecutive months, 22 consecutive quarters •76,972 discharges with 6,135,994 eligible orders from all inpatient floors: –All pharmacy (medication and intravenous) –Laboratory –Cardiology –Radiology imaging –Nursing care –Admission/discharge/transfer –Consult –Respiratory therapy –Ancillary services (physical, occupational, and speech) –Dietary 6 11/11/2014
  • 7. Methods (cont.) •All orders were integrated into the EMR/EPR: –Source of the CPOE –Corresponding results retrieval and repository •Exclusions: –Verbal orders –Emergency department med order 7 11/11/2014
  • 8. • Inverse relationship of LOS to CPOE Adoption 3.80 3.90 4.00 4.10 4.20 4.30 4.40 4.50 0 10 20 30 40 50 60 70 80 90 100 Pre Yr 1 Q1 Yr 1 Q2 Yr 1 Q3 Yr 1 Q4 Yr 2 Q1 Yr 2 Q2 Yr 2 Q3 Yr 2 Q4 Yr 3 Q1 Yr 3 Q2 Yr 3 Q3 Yr 3 Q4 Yr 4 Q1 Yr 4 Q2 Yr 4 Q3 Yr 4 Q4 Yr 5 Q1 Yr 5 Q2 Yr 5 Q3 Yr 5 Q4 CPOE % LOS Smoothed Percent CPOE Adoption Mean LOS As CPOE adoption Rose, LOS Fell …
  • 9. Discipline r Value Percent p-Value House-Wide -0.798 0.637 63.7% <0.001 Cardiology -0.278 0.077 7.7% 0.036 Family Medicine -0.431 0.186 18.6% 0.008 Hospitalists -0.297 0.088 8.8% 0.032 Internal Medicine -0.799 0.638 63.8% <0.001 General Medicine -0.918 0.843 84.3% <0.001 Nephrology -0.513 0.263 26.3% 0.003 Hematology/Oncology -0.367 0.135 13.5% 0.015 Pulmonary -0.301 0.091 9.1% 0.031 General Surgery -0.695 0.483 48.3% <0.001 Orthopedic Surgery -0.782 0.612 61.2% <0.001 Thoracic Surgery -0.335 0.112 11.2% 0.022 Vascular Surgery -0.552 0.305 30.5% 0.002 Urology -0.483 0.233 23.3% 0.004 R2 • Predictive relationship for each discipline … for each specialty:
  • 10. 22 quarters, the case mix index (CMI) increased slightly but significantly •for the organization as a whole •as well as for 13 disciplines •all concurrent with significant reductions in LOS for comparable time periods NOT Attributable to Reduced Severity:
  • 12. •Inverse relationship of LOS to CPOE Adoption •The linear regression model: p<0.001 3.904.004.104.204.304.404.500.0%20.0%40.0%60.0%80.0%100.0% Average LOS -mvg avg Percent CPOE AdoptionCPOE as Predictor of LOS
  • 13. 3.90 4.00 4.10 4.20 4.30 4.40 4.50 0.0% 20.0% 40.0% 60.0% 80.0% 100.0% Average LOS - mvg avg Percent CPOE Adoption Polynomial model revealed the curvilinear relationship as most significant solution: R² = 0.887 Representing a 25.03% increase in the R-square over the simple linear model
  • 14. 3.90 4.00 4.10 4.20 4.30 4.40 4.50 0.0% 20.0% 40.0% 60.0% 80.0% 100.0% Average LOS - mvg avg Percent CPOE Adoption Clear indication of an inflection point at approx. 60%CPOE adoption LOS begins to statistically fall as CPOE adoption reaches critical level Precise inflection 58.31%, standard error of 4.05 (95% confidence interval 54.26-62.36%) SQL with Analytics: Study, Test, Monitor
  • 15. All EPRs? Not guaranteed!
  • 16. Average EMR Satisfaction Average EMR Satisfaction Shaha SH (2013). Comparative EPR Usability form the Clinician Perspective: What works and what doesn’t for impacting care. Digital Health Service Delivery – The Future Is Now. HIC 2013 Proceedings, Health Information Society of Australia, Melbourne, pg. 122. Shaha SH (2013). Benefits and Outcomes: Models for Getting the Most Out of Your EPR. EPR Awareness Forum: Sharing Best Practice from UK, Europe and the US, Manchester, UK, May 2013. Shaha SH (2013). Clinical Systems Applications and Related technology: Today and into the Future. HC 2013: The National Health IT Conf & Exh, Birmingham, England, April 2013.
  • 17. Quick Example of Win-Win Teamwork …
  • 18. Without With CDS-rich Order Set 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Impact of Stroke Admission Order Set: Comparative Quality with versus without Improved Stroke Outcomes Impact of Stroke Outcomes Toolkit: Comparative with versus without CDS-rich Order Set 40.5% net Greater Clinical Excellence 80%+ Change Stroke Care Best Practices CPOE with Alerts Alone
  • 19. Length of Stay Discharge Patterns CDS-rich Order Set Without Order Set Discharge to Home Discharge to SNF Discharge to IP Rehab Cost-per-Case Impact CDS-rich Order Set Without Order Set Average Direct Cost/Case Average Indirect Cost/Case 16.0% fewer (p<.001) 11.4% lower Cost-per-Case $ 628 avg (p<.05) Readmissions in 31 Days 35.7 % fewer (p<.001) Improved Stroke Outcomes 9.4% more (p<.001) 21.4% fewer (p<.001) 12.7% lower Cost-per-Case $249 avg (p<.05) 7.5% lower 0.35 fewer days avg. (p<.001) CPOE with Alerts Alone Est. Savings of $265k-$560k annualized CDS-rich Order Set
  • 20. 16.0% fewer (p<.001) Discharge Patterns Improved Stroke Outcomes Continue after Discharged 9.4% more (p<.001) 21.4% fewer (p<.001) CDS-rich Order Set CPOE with Alerts Alone Discharge to Home Discharge to SNF Discharge to IP Rehab
  • 21. Care Coord Network Pre Readmissions in 31 Days Length of Stay Significantly fewer (p<.001) Better Outcomes after Discharge Admissions to Nursing Homes and Residential Age Care Facilities Care Coord Network Pre Significantly shorter (p<.001) Additional Efficiencies • Capacity for 130 additional admissions with NO staffing increases CPOE and Alerts alone CDS-rich Order Set
  • 22. Discharge to Home Discharge to SNF Discharge to IP Rehab 16.0% fewer (p<.001) Discharge Patterns Improved Stroke Outcomes Continue after Discharged 9.4% more (p<.001) 21.4% fewer (p<.001) CPOE and Alerts alone CDS-rich Order Set
  • 23. Readmissions in 31 Days Better Outcomes after Discharge Discharges to Home Significantly fewer (p<.001) And … •Fewer ED/A&Evisits (p<.01) •Fewer clinic visits (p<.01) •Fewer PCP interactions (p<.01) CPOEand Alerts alone CDS-rich Order Set
  • 24. 2 4
  • 25. Lessons Learnt: •The EMR is not “electronified paper” • Computers that Compute • Programmability • Clinical Intelligence •Adaptability and Interoperability • Rigidity vs. Openness •Local Innovation then Broader Standardization • “What work here with our needs and capabilities” • Try, refine, prove … then standardize … then innovate •Access to Clinical Data •Community Connectivity •Outcomes-driven • Clinical • Efficiency • Cash Releasing and Cost Reducing • Clinician Satisfaction
  • 26. Levels of Information: Needs and Perspectives