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Health Insights, London

Health Insights, London. Chelsea Football Club 11 June 2014. Outline. Introduction to HIMSS Analytics EMR Adoption Model What are the benefits of using the acute care EMRAM? What is next? The Continuity of Care Maturity Model. History of the Acute Care EMRAM.

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Health Insights, London

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  1. Health Insights, London Chelsea Football Club 11 June 2014

  2. Outline • Introduction to HIMSS Analytics EMR Adoption Model • What are the benefits of using the acute care EMRAM? • What is next? The Continuity of Care Maturity Model

  3. History of the Acute Care EMRAM • The acute care EMRAM was developed in 2005 • Why the structure? • It is the typical manner by which hospitals rollout enterprise clinical systems • Are there any usual variations? • Academic Medical Centers often have CPOE live to enable education for the medical students and residents • The first Stage 7 validation occurred in Q4 2008 • Three years after EMRAM introduction

  4. Why Do We Do It? • Thought leadership • Quality, Safety, Efficiency improvements • To inform government policy • Numerous countries and regions use HIMSS Analytics to gather data for their policy formulation • To reflect the market • Where is the market heading • To “drive the market” • Hospital Data sets: • >5,400 US and >700 Canada • >8,000 Europe • >5,000 Asia-Pacific

  5. 1.1% 3.1% 13.3% 24.2% 15.7% 27.7% 7.2% 3.2% 5.6% 4.0% 6.1% 12.3% 46.3% 13.7% 6.6% 10.0% 2011 Q2 2014 Q1 N = 5439 N = 5449 Complete EMR, CCDA transactions; Data Analytics to Improve Care Physician documentation (structured templates), full CDSS, full R-PACS Closed Loop Medication Administration = Bar Code Enablement CPOE, or e-Prescribing, Clinical Decision Support (clinical protocols) Clinical documentation, CDSS (error checking) CDR, Controlled Medical Vocabulary, CDS, HIE capable Ancillaries - Lab, Rad, Pharmacy - All Installed All Three Ancillaries Not Installed

  6. What Are the Benefits of Using the Acute Care EMRAM? Some Quality, Safety & Efficiency Correlations of Stage 7 Hospitals and Health Systems

  7. First, A Look at How US Market Has Changed -25% -41% The shift to outpatient care has dramatically reduced the number of hospitals and hospital beds – by 2013: <50% of hospitals are >150 beds Note: Sweden intends to reduce # hospitals by 20% in next decade Note: Estonia has >50% reduction in # hospitals in five years

  8. EMR Adoption in the U.S. Market Trended 2006 – 2013 This is how long it takes to make “significant” national progress Data from HIMSS AnalyticsTM Database

  9. Stage 7 Studies on a Macro Scale Correlations With Stage 7 Status

  10. Representation of TJC Top Performing Hospitals by # Quality Metrics Excelling In, per EMRAM Stage 39.8% 20.7% 18.1% 16.3% 12.9% 10.6% 6.5% 2.3% Source: HIMSS Analytics

  11. Representation of Hospitals with an "A" Leapfrog Hospital Safety Grade by EMRAM Stage Tipping Point

  12. Value Based Purchasing (VBP) Clinical Scores Tipping Point Tipping Point

  13. What About Cost Efficiency? Some Ground Breaking Research on the Effect of EMR Deployment

  14. What We Found in Researching • Hospitals that implemented EMR between 1996 and 2009 did NOT generally see a reduction in operating expense, EXCEPT: • Cost rise immediately during and following implementation and then fall back to previous levels • However: • Hospitals in locations with IT intensive industry found cost reductions after three years • Hospitals in other locations found costs increased • The initial cost increases was smaller for those in IT intensive locations Used by permission – Avi Goldfarb The Trillion Dollar Conundrum: Complementarities and Health Information Technology (NBER Working Paper No. 18281)

  15. Used by permission – Avi Goldfarb

  16. Used by permission – Avi Goldfarb

  17. Efficiencies Adjusted for • Case Mix Index = intensity • Quality scores, publically available • Readmission rate, publically available • Labor input, publically available • Nursing specifically • etc. ….

  18. Hospital Cost Efficiencies BY EMRAM Stage Early DRAFT Not for Distribution Used by permission – Eric Ford

  19. status of EMR Adoption

  20. EMR Adoption in Turkey, Europe and the US ... based on HIMSS Analytics EMR Adoption Model EMR Adoption Model Scores, Means per Country(data from 4/13 – 5/14 (Turkey), 4/12 – 3/14 (Europe), 4/13 – 3/14 (US), no weighting etc. applied) Turkey1 (143) Europe2 (1,427) Germany (383) Netherlands (68) USA3 (5,449) EMRAM Score (Means) 1) Only public hospitals, of those 90% with >200 beds 2) Excl. Turkey; incl. Austria (42), Belgium (1), Denmark (16), Finland (3), France (17), Germany (383), Ireland (2), Italy (524), Netherlands (68), Norway (3), Poland (83), Portugal (29), Slovenia (2), Spain (220), Sweden (1), Switzerland (8), UK (25) 3) The EMRAM algorithm between Europe and the US differs in some degrees in order to reflect HIT implementation of that particular region Source: HIMSS Europe Database (05/2014)

  21. EMR Adoption in Turkey, Europe and the US ... based on HIMSS Analytics EMR Adoption Model EMR Adoption Model Scores, Means per Country(data from 4/13 – 5/14 (Turkey), 4/12 – 3/14 (Europe), 4/13 – 3/14 (US), no weighting etc. applied) Only public and non-profit hospitals with >199 beds Turkey (134) Europe1 (659) Germany (193) Netherlands (63) USA2 (1,310) EMRAM Score (Means) 1) Excl. Turkey; incl. Austria (14), Belgium (1), Denmark (15), Finland (3), France (16), Germany (193), Italy (178), Netherlands (63), Norway (3), Poland (55), Portugal (13), Slovenia (1), Spain (79), Sweden (1), Switzerland (4), UK (20) 2) The EMRAM algorithm between Europe and the US differs in some degrees in order to reflect HIT implementation of that particular region Source: HIMSS Europe Database (05/2014)

  22. So, What is Expected at Stage 7? Very Good Analytics Use Analytics to Find Care Issues to Address Use Analytics to Prove that IT Tools are Enabling Improvements

  23. Find Patients Who Could Benefit From BRCA1 and BRCA2 DNA Testing • Major University devised rules to search for child bearing age patients who have relatives with estrogen driven CA’s • Rule fired 1,355 times in October • Generated 22 referrals • Rule fired 1,478 time in November • Generated ~140 referrals in November • This tells us several things: • A profound finding • Hard to “sell” DNA testing

  24. Predictive Alerting for Potential Readmissions • 40 key variable are tracked to generate predictive score • Alerts to physicians with advice on best practice – updated hourly !

  25. Their Model is at 80% Accuracy

  26. Using I.T. Tools to Improve Patient Engagement

  27. Target Your Problems and Cohorts • Rural north central health system attacked CHF readmission rate • Weight gain due to medication insufficiency or behavior factors, is a strong predictor of readmission • Gave away blue-tooth enabled weight scales to targeted CHF patients • Reduced readmissions by -42% over 12 months

  28. Target Your Problems and Cohorts • Teenage obesity & Fit Bits.. Create competitive cohorts with PHR • -11% reduction in obesity in a year

  29. Mature Organizations Have Created an e-Continuum of Care And Have Reduced Costs per Person per Year IntroducingThe Continuity of Care Maturity Model

  30. Model Audiences • Global applicability • Primary Target Audiences: • Regional & National Health Authorities/ MoH • Integrated Delivery Networks (IDN) • Health Management Organizations (HMOs) / Accountable Care Organizations (ACOs) • (Private) care chains

  31. THANK YOU John P Hoyt jhoyt@himss.org

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