1. Data + Process: The Peanut butter cup of HIT! Howard Landa, M.D., Chief Medical Information Officer Alameda Health System Oakland, CA Dat a

2. Quoting smart people makes you seem smarter Data is like salt water. It can drown you in its native state, but filtered and processed it sustains life. The goal is not to drown in data while thirsting for information-Reid Coleman Using data to impact processes drives value from the data Dashboards are not very useful when standing still 2

3. By any other name… Beyond Meaningful Use MU 2 : Meaningful use of Meaningful Use Why we all started doing this: To use technology to improve the process of Healthcare 3

4. Healthcare Information Technology Truisms 1)The EHR shines a bright spotlight on all your bad procedures, processes and actors 2)Workflow is everything (Implementation) 3)Computers make smart people do stupid stuff 4)Where Workflow isnt everything, Data is everything 5)Data impacting Workflow is really everything (Optimization) 4

5. Scenario #1 Situation – Well resourced Accountable Care Organization – Mature EHR implemented and optimized – Reliable data and clinical decisions support Goal: – Improve a specific aspect of care – One that Passes the Champagne test 5

6. Improve ordering of Mammography – Identify Alerting – Ease ordering Improve cycle time Improve patient satisfaction with process Earlier detection Improved outcome Goal: Improving Mammogram Screening

7. Initial attempt Provide the structure – Alerts and Reminders (Staff and Patients) – Process support Mature ubiquitous EHR Incentives – Analytic data Screening rates, Treatment benefit Monitor alerts and orders 7

8. Modest improvement Modest increased screening rates PCP most impacted Data on resistance of other providers – Educational issue? NO – Ineffective notification? NO – Ease of ordering issue? NO – Result workflow? BINGO! 8

9. Result-o-phobia The irrational fear of looking stupid when an otherwise competent professional does not know how to deal with a test result. e.g.: Pediatric urologist sees patient for a circumcision, sees alert and orders a mammogram for his patients mother Result comes back BIRADS 3, Borderline abnormal Pediatric urologist develops sweating and palpations when he realized he has to contact what has inadvertently become his patient! Mitigating Reluctance of non-PCP

10. The cure for Result-o-phobia Ordering provider legally must get the test result Ordering provider gets Courtesy copy APN intercepts ALL results and is accountable for negative study communication and follow-up Communicates with Breast team non-negative Breast team accountable for all subsequent care Resistance is futile! Mitigating Reluctance of non-PCP

11. Resistance is now mitigated Kaiser Permanente Hawaii in NCQA 2009 – Highest breast CA screening rate (42 – 69) ~72% 85% in 2009 – EHR can alert and facilitate – Incentives and accountability – Operations to support workflow based on sequential evaluation of analytic data Now were talking

12. Scenario #2 Situation – County Hospital/Inner city trauma center – Poorly resourced, Resident run – Minimal Electronic systems (ED EMR) – The best thing about standards is that there are so many to choose from! Goal: To improve the quality of care – Optimize and Standardize disparate paper order sets, leverage evidence and facilitate workflow Recommendation: CPOE!...when we have $$$ 12

13. Is there a stepping stone to CPOE? Electronic Order Entry Paper Output – Increase the number of order sets – Minimize workflow change – Resource light implementation – Expedite creation and maintenance of order set content – Test drive order sets to support future enterprise EHR 13

14. Electronic Order Entry with Paper Output – Electronify starter/current paper forms – Add low impact Clinical Decision support – Expedite creation and maintenance of order set content – Expand functional and conditional order sets – Test drive order sets – Iterate! Stepping stones to CPOE

15. Immediate Clinical Content Committee: Rapid cycle content management ICCC Design Deploy new Content Order use analytics User feedback ICCC: Pharmacy HIM Quality Safety Informatics

16. Care quality improvement Improved compliance with ordering of complete insulin coverage DVT prophylaxis compliance has increased from 50% to 97% Compliance with required orders – E.g. Admit, Code status, Telemetry criteria, Resident/Attending/Service identification 28% reduction in time from decision to admit to creation of inpatient orders 16

17. Why it worked Workflow tools at the Point-of-Care Clinical Decision Support – Leading and guiding vs. Interrupting Minimal change to manage Ordering analytics to support rapid, iterative improvement cycles Make the Right thing to do the Easy thing to do 17

18. Taking it to the next level Goal: Reduce Sepsis Deaths by 15% Challenge to get baseline data – Bad data Denial, Anger, Bargaining 3/5 Kubler-Ross Challenge to impact process with bad data Change Management a major problem Need for standardized protocol and procedure for physicians and nurses

19. Overcoming Barriers Multidisciplinary education Standardized Protocol and Procedures – Physicians and nurses – Sepsis education Paper based pilot Sepsis the Highland Way Youtube video

21. Initial results promising but limited Data evaluation and process iteration – Lactate not coming back quickly POCT testing – Antibiotic Delivery: Involve Pharmacy Change Management: Making resistance futile – Paper to Electronic ED order sets in EMR Admission in SmartOrders Provider and nurse focus and education

22. Way better! From 2009 to 2011 56% reduction in sepsis mortality! But… – Bundle compliance still not close to 100% – Significant paper processes remained – Data collection was still a challenge – Change is hard, maintaining change is harder

23. Lets implement an EHR! Mid-2012 through Early-2013 we implemented ambulatory and inpatient EHR Better order processing Better decision support Lots of distraction (Quality, Clinicians, IT) Rule #2: Workflow is everything (during Implementation)

24. Lets optimize and EHR! Dont drown in data while thirsting for info – Too much data, not enough information – Too much distraction and too much change – Meaningful Use <> Using Meaningfully Rule #5: Data impacting Workflow is really everything (Optimization) Identify and track key metrics Implement process improvements and iterate! Still in early phase 24

25. It is NOT just the data or just the workflow! Use good data to drive great change Manage the change: – Make the change feel do-able: small bites – Try to pass the Champagne test – Make the Right thing to do the Easy thing to do Metrics are tools, not destinations. The process of Healthcare is just that, a process. Success factors

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