1 / 32

Beyond the EHR: The Next Steps for Healthcare

Beyond the EHR: The Next Steps for Healthcare. J. Bryan Bennett, Adjunct Professor and Predictive Analytics SME, Northwestern University BDPA Technology Conference August 7, 2014. Agenda. State of Healthcare Technology Healthcare Transformation Model Why is it so important?

neena
Télécharger la présentation

Beyond the EHR: The Next Steps for Healthcare

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Beyond the EHR: The Next Steps for Healthcare J. Bryan Bennett, Adjunct Professor and Predictive Analytics SME, Northwestern University BDPA Technology Conference August 7, 2014

  2. Agenda • State of Healthcare Technology • Healthcare Transformation Model • Why is it so important? • Opportunities in Healthcare @enabledhealth

  3. The State of Healthcare Technology

  4. Healthcare Technology Mandate • The Health Information Technology for Economic and Clinical Health (HITECH) Act, was enacted in February of 2009 with $19 billion in funding • Part of the American Recovery and Reinvestment Act of 2009 • It promotes the adoption and meaningful use of health information technology • Healthcare providers will be offered financial incentives for demonstrating meaningful use of electronic health records (EHRs) • Incentives will be offered until 2015 @enabledhealth

  5. Healthcare Technology Mandate • Healthcare providers will be offered financial incentives for demonstrating meaningful use of electronic health records (EHRs) • Incentives will be offered until 2015. • Not related to the Affordable Care Act • Sometimes called Obamacare • Completely separate funding @enabledhealth

  6. EHR Adoption @enabledhealth

  7. EHR Usage By State @enabledhealth

  8. Who’s Using An EHR? @enabledhealth

  9. Type of EHR by Practice Size @enabledhealth

  10. E-Prescription Use @enabledhealth

  11. The Current Situation • Healthcare organizations are faced with the challenges of transitioning from a paper-based system to one that is data-enabled • Most organizations are primarily focused on the technology and data • Neglecting key components that will significantly improve their chances for success and improved effectiveness @enabledhealth

  12. Healthcare Transformation Model The continuums and steps required for a healthcare organization to transform from a paper-based organization to one that is data-enabled.

  13. Healthcare Transformation Change Model ORGANIZATIONAL / PEOPLE Data-Enabled Healthcare Organization Paper-Based Healthcare Organization DATA / TECHNOLOGY PROCESS / WORKFLOWS @enabledhealth

  14. Data-Enabled vs Data-Driven Data-Driven: letting the data dictate how we treat and manage customers with as much automated decisions as possible Data-Enabled: providers are provided real-time information to enable them to make better final decisions and diagnoses based on hundreds or thousands of patients with similar symptoms @enabledhealth

  15. Data-Enabled Healthcare Organization A DEHO will also be able to better manage their “patient portfolio” or community to provide more consistency and an improved overall quality of care* * “Big Data Needs the Big Three to Succeed”, August 8, 2013, www.himssfuturecare.com @enabledhealth

  16. Healthcare Transformation Change Model Data-Enabled Healthcare Organization Paper-Based Healthcare Organization @enabledhealth

  17. Healthcare Transformation Change Model ORGANIZATIONAL / PEOPLE Data-Enabled Healthcare Organization Paper-Based Healthcare Organization DATA / TECHNOLOGY PROCESS / WORKFLOWS @enabledhealth

  18. Healthcare Transformation Change Model ORGANIZATIONAL / PEOPLE Real-Time Decision Support Integration of Clinical & Non-Clinical Data Sources Analysis & Modeling EHR Implementation Data-Enabled Healthcare Organization Paper-Based Healthcare Organization DATA / TECHNOLOGY PROCESS / WORKFLOWS @enabledhealth

  19. Healthcare Transformation Change Model Step 3 Step 2 Resistance To Change Step 4 ORGANIZATIONAL / PEOPLE Real-Time Decision Support Integration of Clinical & Non-Clinical Data Sources Analysis & Modeling EHR Implementation Data-Enabled Healthcare Organization Paper-Based Healthcare Organization DATA / TECHNOLOGY Minimal Data Capture PROCESS / WORKFLOWS Step 4 Step 2 Step 3 @enabledhealth

  20. Continuum Alignment • Continuums must be aligned to make sure organization doesn’t get too far out front on any particular continuum • Great processes with no capture commitment or poor data will negate impact of process change • Allows for possibility of lower morale and/or project management • Multi-stage project @enabledhealth

  21. Step 2 Step 3 Resistance To Change Step 4 ORGANIZATIONAL / PEOPLE Real-Time Decision Support Analysis & Modeling EHR Implementation Data-Enabled Healthcare Organization Paper-Based Healthcare Organization DATA / TECHNOLOGY Minimal Data Capture PROCESS / WORKFLOWS Step 4 Step 2 Step 3 Healthcare Transformation Change Model Integration of Clinical & Non-Clinical Data Sources Stage 1 Stage 2 Stage 3 Stage 4 @enabledhealth

  22. Process is Least Addressed Continuum • We performed an ethnographic study of a sample of over 1,000 physicians during the implementation of a computerized provider order entry system we observed that: • Comments and behaviors related to the process represented 62% of the issues • Positive and negative @enabledhealth

  23. Comments & Observations • Negative Comments Included: • I don’t have time for this; I will call from my phone to place orders • I did not know I went to med school to become a secretary. • This is ridiculous!! All it does is take time away from my patients. I am with the patient now 5 minutes and with the computer 15 – 20 minutes. • I have not put orders in the computer for over 20 years and I am not starting now. I will retire before I start with this crap. @enabledhealth

  24. Comments & Observations • Negative Observations included: • Many would not ask questions because it seemed they would feel diminished. • Some doctors kept complaining about how this is a “waste of my time” • A few doctors left the floor and then proceeded to call in the orders because they refused to place the orders themselves. @enabledhealth

  25. Process Rules! Solution & Hardware Process, Solution & Hardware @enabledhealth

  26. Implementation Problems Summary • Automating or adding technology to a bad process or not giving the process enough attention just results in a bad automated process. • Personnel Buy-In • Delayed training @enabledhealth

  27. Healthcare TransformationNext Major Step - Analytics Most organizations can do some form of Description Analytics from their current legacy or EHR systems With some additional data management, many are capable of performing some Diagnostic Analytics Predictive Analytics are being implemented by many advanced healthcare organizations Prescriptive Analytics is only being implemented by the most elite organizations @enabledhealth

  28. Opportunities in Healthcare Technology

  29. Technology Continuum EHR Implementation Data Warehouse Development Predictive and Advanced Analytics Implementation Real-time Decision Support @enabledhealth

  30. Opportunities – Current Needs • EHR Implementation • Change Management Specialist • Project Management • Consumer Behavior • Physician Engagement @enabledhealth

  31. Opportunities – Future Needs Data analyst Statisticians / Modelers Transformation Consultants @enabledhealth

  32. Questions and Answers • Contact Information: • J. Bryan Bennett, “The Professor” • Healthcare Transformation Specialist, Data Scientist and Predictive Analytics Professor • E-mail • bryan@dataenabledhealth.com • Website / Blogs • www.dataenabledhealth.com • www.himssfuturecare/blog/1266 • Twitter • @enabledhealth @enabledhealth

More Related