Using Big Data to Improve Clinical Quality at Kaiser Permanente, Southern California

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1 Using Big Data to Improve Clinical Quality at Kaiser Permanente, Southern California Presentation to the Canadian Medical Protective Association at the Information Session of the Annual Meeting August 20, 2014 Tim Ho, MD, MPH Physician Lead, Complete Care, Southern California Permanente Medical Group

2 Faculty/Presenter Disclosure Faculty: Timothy Ho, MD, MPH Employee of: Southern California Permanente Medical Group Relationships with commercial interests: - Grants/Research Support: None - Speakers Bureau/Honoraria: None - Consulting Fees: None - Other: None Conflict of Interest: I have no financial or professional affiliation with any organization that can be perceived as a conflict of interest in the context of this presentation. Copyright: Not to be distributed without written permission of CMPA. Information is for general educational purposes only and is not intended to provide specific professional medical or legal advice or constitute a standard of care.

3 Using Big Data to Improve Clinical Quality at Kaiser Permanente, Southern California Who is Kaiser Permanente? What is big data? What does Kaiser Permanente do with big data?

4 John Kitzhaber Statistics are people with the tears washed away Health professionals can put the tears back in. Photo: Orna Izakson, Public Domain, via Wikimedia Commons Source: Institute for Healthcare Improvement (IHI)

5 We are Kaiser Permanente Members: 9.3 million Locations: Eight States & the District of Columbia Facilities: 38 hospitals 618 medical offices Personnel: 16,000 physicians 48,000 nurses 174,000 employees Photos: Kaiser Permanente Source:

6 We are Kaiser Permanente Kaiser Foundation Health Plan Kaiser Foundation Hospitals Permanente Medical Groups Source:

7 Kaiser Foundation Health Plan of Southern California Commercial #17 Kaiser Foundation Health Plan of Southern California Medicare #1 Source: National Committee for Quality Assurance (NCQA)

8 Definition of Big Data Data sets that are too large and complex to manipulate or interrogate with standard methods or tools. Source: Google

9 Big Data at Kaiser Permanente 9.3 million members Almost 10 petabytes of data 1 petabyte = bytes Source:

10 Purpose of Big Data To Describe To Learn To Improve Source: Personal Opinion

11 Purpose of Big Data Descriptive Analytics Predictive Analytics Prescriptive Analytics Source: Personal Opinion

12 Source: Pharmacy Analytical Services (PAS)

13 Using Big Data for Decision Support Source: Kaiser Permanente & Pharmacy Analytical Services

14 Using Big Data for Decision Support Source: Kaiser Permanente & Pharmacy Analytical Services

15 Control Rate Disparity Using Big Data for Equitable Care BP Control Disparity 86.0% 85.0% 84.0% 83.0% 82.0% 5.0% 4.5% 4.0% 3.5% 3.0% 81.0% 80.0% 79.0% 78.0% 77.0% 2.5% 2.0% 1.5% 1.0% 0.5% 76.0% Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 Nov-13 Dec-13 Jan-14 Feb-14 Mar-14 Apr-14 May-14 Jun-14 Disparity 4.3% 4.2% 4.0% 4.1% 4.3% 4.5% 4.5% 4.6% 4.5% 4.5% 4.2% 3.9% 3.8% White Control Rate 84.4% 84.7% 85.0% 85.4% 84.9% 84.8% 84.4% 83.8% 84.0% 84.3% 84.4% 84.3% 84.5% Black Control Rate 80.1% 80.5% 81.0% 81.2% 80.6% 80.3% 79.9% 79.2% 79.4% 79.8% 80.2% 80.4% 80.7% 0.0% Source: Pharmacy Analytical Services, data not yet published

16 Regional Outreach and Regional Safety Net Outreach Telephone and letter Automated and live Safety Net Diagnosis detection Medication monitoring Medication interaction Necessary follow-up > 7 million Touches in 2013 > 150,000 Touches in 2013 Source: Department of Clinical Operations, SCPMG

17 Big Data Big Data Big Data Improved Care Big Data Source: Personal Opinion

18 Big Data Strategy Structure Process Improved Care Culture Source: Personal Opinion

19 We are a bridge between numbers and lives, between measurements and responsibility. Photo: "Mike O'Callaghan-Pat Tillman Bridge construction" by David Jones from Isle of Wight, UK. Licensed under Creative Commons Attribution 2.0 via Flickr

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