Leveraging Data for Improved Healthcare Outcomes

1. The Role of Data and Analytics in the Healthcare Ecosystem March 20, 2019

2. Agenda TELUS Health and data/analytics Improving health outcomes with RWD/RWE Tracking medication adherence Helping employers manage benefit programs using analytics Summary

3. Data and analytics at TELUS Health • Turning information into better health outcomes byconnecting patients, providers and insurers through the applications and services of the TELUS Health Exchange (THX) 3

4. Healthcare data flow Physicians Nurses Allied care Physicians Allied care Pharmacists Patients Hospitals Nurses Patients Insurers Hospitals Home care Pharmacists TELUS connections are electronic and patient centric Home care 4

5. TELUS data governance As a part of the Technology Strategy Team, the TELUS Data & Trust Office (DTO) has a broad mandate as the owner of various TELUS programs. TELUS has appointed a Chief Data & Trust Officer to oversee the DTO and the following areas: Privacy office The TELUS Privacy Office is charged with operationalizing TELUS' commitment to earn and maintain the trust of our customers and other stakeholders when it comes to how we handle personal information enterprise-wide. Compliance office As a business and regulated telecommunications and technology company, TELUS has to comply with a wide variety of laws and regulations. Responsibility for regulatory compliance is de-centralized. Data governance office The TELUS Data Governance Office is responsible for TELUS Data Governance program that supports our commitment to treat data in a manner that fosters innovation and at the same time mitigates privacy, security, and ethical risks associated with previously unimaginable uses of data. Allow for deeper sharing of expertise across the organization and the exploration of new and innovative ideas, while introducing standards and refining best practices to ensure a consistent approach to managing re-identification risk 5

6. Improving outcomes in health

7. RWD to RWE (real world data to real world evidence) • Deliver • Manage • Monitor Any EMR can participate. No PHI Act Physician’s dashboard Overall dashboard • EMR Metrics Query 7

8. RWE in action RWE: Defines the care standard Identifies care gaps (population level) 1 Impact: Care gap is closed.Patient outcomes improved. RWE evolves Prioritizes a care gap they wish to close 5 2 4 3 Physicians: Presented “actionable insight“ at the point of care “Action” RWE by engaging with EMR-integrated tools, thereby closing care gap Design EMR-integrated tools which identify these care gaps at the physician level 8

9. Outcomes dashboard - diabetes 9

10. Clinical results Population addressed: 85,000 patients (57 physicians) A total of 1,802 diabetic patients with an outdated or non-existent A1c result had their A1c done. 10

11. Screening dashboard 11

12. Outcomes dashboard - COPD 12

13. Assisting pharmaceutical manufacturers withdecision support

14. Drug treatment analysis Longitudinal claims analysis New patient starts Adherence and switching # unique patients Adherence by Co-Pay Time on treatment Brand switching Offering for market research and brand planning We can track meters and strip usage over time Meter ‘claims’ repository Claims database for strips(880,000 claimants in diabetes) • Total diabetes patients • Switches over time Quantify diabetic patient volumes receiving strips with free meters over time. New patient starts How long patients use their meters and how long until they switch meters / strips. How often do they refill strips? How many new patient starts are you getting vs new starts on competitive strips? 14

15. Longitudinal studies 15

16. Longitudinal studies – switch rates 8,000 6,000 New7,235 4,000 2,000 Dropped5,327 0 -1,000 Nov 2014 Dec 2014 Jan 2015 Feb 2015 Mar 2015 Apr 2015 May 2015 Jun 2015 Jul 2015 Aug 2015 Sep 2015 Oct 2015 16

17. Longitudinal studies – concomitant therapy Proportion of patients by therapy Average days to additive therapy 17

18. Longitudinal studies – adherence rates Projection beyond 2 years 18

19. Improving outcomeshealth plan costs

20. Use of data in program optimization Benefit program managers are focused on the following: • Benefit program managers are interested in answering the following: • What health conditions are driving our plan costs? • Where do the opportunities lie to improve our plan to ensure sustainability? • How does our plan experience compare to others? Plan management Keeping employees healthy Driving behaviour change 20

21. Validating perception with data Source: TELUS Health annual employer survey 2017 21

22. Plan performance dashboard (enrolment) 22

23. Plan performance dashboard (KPIs) 23

24. Additional flexible reporting tools • Providing easy and instant access to those that manage the benefit program 24

25. Summary The healthcare system can be improved by leveraging and integrating various data points Removing historical siloes from data will advance health outcomes Management of healthcare touchpoints (physician decision support tools, pharmaceutical development, and employee access to care) is facilitated through data analysis AI and ML will continue to evolve in healthcare data analytics 25