Physician Workshop Data Analytics. Minnesota e-health Summit June 12, 2014

Transcription

1 Physician Workshop Data Analytics Minnesota e-health Summit June 12, 2014 REACH - Achieving - Achieving meaningful meaningful use of your use EHR of your EHR

2 Paul Kleeberg, MD CMIO Stratis Health Speakers: David Marc Assistant Professor, College of St. Scholastica Panelists: Bruce Penner, RN Director of Quality, Integrity Health Network Christopher Murgic, IT Director, Edina sport Health & Wellness Jeffrey Scrivner, MD, Chief Medical Officer Scenic Rivers Health Service Nancy Mault, EMR Director/QI Coordinator Scenic Rivers Health Service

3 Outline Why Analytics is important? What is Data Analytics? Small Groups: What is your experiences and challenges in using Data Analytics? Panel Discussion: How we use Data Analytics Questions Closure

4 Minnesota where all the women are strong, all the men are goodlooking, and all the children are above average But how do we know 4

5 To prove it, one needs data If you can not measure it, you can not improve it. William Thomson (Lord Kelvin) Lecture on "Electrical Units of Measurement" (3 May 1883) paraphrased 5

6 What is your role within your organization? 1. IT 2. Healthcare provider 3. Administrator 4. Health Information Manager/Health informaticist 5. Other 0% 0% 0% 0% 0%

7 How would you describe the geographic area where you work? 1. Rural 2. Urban 3. Suburban 4. Do not know 0% 0% 0% 0%

8 But it used to be different One patient, one doctor One patient, one (paper) chart Patients paid for their care and judged the value Population management was not a medical issue 8

9 Health Care Reform Moving away from an episodic, fee for service payment approach and towards a coordinated model that is focused on delivering high-quality, low-cost care across the continuum of care. 9

10 Moving from Volume to Value Health Plan Readiness To Operationalize Value-based Payment Models: An Availity Research Study April 2013 Availity 10

11 Payment Reform Attempted repeal of the Medicare Sustainable Growth Rate (SGR) A move away from a fee-far-service (FFS) model to one that rewards quality, efficiency, and innovation Named the PCMH as a supportive framework for alternative value-based payment models that rewards quality and value Commercial health plans increasingly transitioned their PCMH demonstrations or pilots into a standard business operation, incentivizing with PMPM payments or care coordination fees 11

12 PQRS Value Based Reimbursement The Value Modifier Program (or Value-based payment modifier program) will begin to be applied to the CQM PQRS EP reporting of CQMs In 2015, it will apply to groups of physicians with 100 or more EPs and based on data from 2013 In 2016 CMS will apply the Value Modifier to groups of physicians with 10 or more EPs. By 2017, all physicians will be added The Value Modifier assesses quality of care furnished cost of that care under the Medicare Physician Fee Schedule to determine EP CMS reimbursement levels and will be either an up, down or neutral adjustment. 12

13 Total Accountable Care Organizations by Sponsoring Entity Source: Leavitt Partners Center for Accountable Care Intelligence, Accessed March 12,

14 Total Accountable Care Organizations Source: Leavitt Partners Center for Accountable Care Intelligence, Accessed March 12,

15 Accountable Care Organizations by Hospital Referral Region Source: Leavitt Partners Center for Accountable Care Intelligence, Accessed March 12,

16 Estimated ACO Covered Lives by Hospital Referral Region Source: Leavitt Partners Center for Accountable Care Intelligence, Accessed March 12,

17 HealthPartner s Experience Source: Alan Abramson, MN ehealth Conference May

18 For Quality Improvement Patient list by specific condition Decision Support Reporting Quality Measures 18

19 Meaningful Use CQMs not good enough 19

20 20

21 REACH Data Analytics Survey Between February 11th and March 27th, REACH conducted a web-based survey regarding the current state of data analytics among its clients 85 completed surveys

22 Overall Responses and Demographics Organization Type Hospital Bed Size Family Practice? <25

23 Organizational Roles & Experience

24 Geographic Area

25 What is your current EHR software? 1. Allscripts 2. eclinicalworks 3. Epic 4. GE / Centricity 5. Healthland 6. Meditech 7. NextGen 8. Other 0% 0% 0% 0% 0% 0% 0% 0%

26 EHR Vendors by Organization Type

27 What are your organization s top 3 barriers to analyzing data? Pick 3 and push send 1. Analytic software 2. Cost 3. Data infrastructure 4. Data governance / policy 5. Data variety 6. Data source integration 7. Data volume 8. Security 9. Workforce Cross-tab label

28 Ranking Results Points Item 0 There is no ranking data to display

29 Analytic Tools used by Organizations

30 Current State of Data Analytics How well does your organization perform the following information and analytic tasks?

31 Efficacy of Data Analytics How effective is your organization at employing the following analytic techniques?

32 Current State of Data Analytics To what extent does your organization apply analytics to the following activities?

33 Trust in Data, Analytics Strategy, and Data Governance

34 Select the greatest skill gap within your organization in dealing with data and analytics. 1. Statistical knowledge 2. Database management 3. Database architecture 4. Analytical software knowledge 5. Analytical skills combined with clinical knowledge 0 / 10 Cross-tab label 0% 0% 0% 0% 0%

35 The REACH survey found the following:

36 REACH Survey found:

37 In a nutshell We collect a lot of data We lack a skilled analytics workforce Training is in high demand!

38 For more information, contact: Key Health Alliance Stratis Health, Rural Health Resource Center, and The College of St. Scholastica. REACH is a project federally funded through the Office of the National Coordinator, Department of Health and Human Services. 38