Integrating Digital Health into Clinical Practice...Integrating Digital Health into Clinical...

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Integrating Digital Health into Clinical Practice

Maya Leventer-Roberts, MD, MPH

Deputy Director, Clalit Research Institute, Israel

The Web of Health, 15 May 2019

The Web Conference, San Francisco

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Arnold Munk

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Challenge #1: High demand.

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Challenge #2:High cost.

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Source: OECD

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Challenge #3:Doctors and patients are struggling.

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The system is struggling.

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People are turning elsewhere for help.

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We all want:Better care, for more people, in a new era.

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There are many models suggesting this should work.

Source: IHI, Europuls, HBR

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Healthcare can be elegant.

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But how does that happen, exactly?

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OO + NT = EOO

Source: Michael Hammer

OO + NT = EOO

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Old organization + New Technology =

Expensive old organization

Source: Michael Hammer

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Change is hard to embrace.

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Reality is hard to embrace.

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We are here.

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Diverse landscape

National Health Insurance Law

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Mandatory, universal coverageEvery one of the over 8 million residents belongs to one of four health funds

Single, comprehensive system Every fund provides the same basic services, which are updated yearly by an independent committee

Universal accessFunded by the government through capitation

Clalit Health Services

Largest health fund:

• 4.5+ million members

• 53% of population

• >1,500 clinics

• 14 hospitals

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Potential for excellence

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Laboratory data

Community primary care clinic data

Diagnostic and imaging data

Pharmacy, medications data

Allied health services data

Dental, complementary

health services data

Socio-demographic data

Linked to national database

National Cancer registry

Linked to Ministry of Health

Disease registries

Hospital inpatient, ED and discharge data

Administrative data (costs)

Comprehensive digital warehouse

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Resources are scarce.

Source: Taub Center

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Even with all our potential, we were missing something.

Clalit Research Institute

• Established in March 2010, nearly 100 years after Clalit

• Mandate: Turn data to insights, insights to policy– Real world outcomes

– Risk stratification

– Personalization

• Interdisciplinary teams

• Multidisciplinary collaborations

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Clalit Research Institute

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• Deliver the right intervention,

Using real world outcomes to guide clinical decision support

• at the right time,

Empowering providers to intervene efficiently with risk stratification

• to the right patient.

Integrating personalization into clinical practice

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Our method of integration

Real World Outcomes

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Source: CDC

Pneumococcal disease

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Does the vaccine work or not?

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It works in practice.

Source: Clalit Health Services

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It works however you target it.

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The vaccine remains a national priority.

Source: Ministry of Health

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Bariatric Surgery

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Is bariatric surgery worth it?

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It works.

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It saves lives.

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Risk Stratification

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Predict Renal Failure

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Source: Clalit Health Services

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Identify patients at:Pre-clinical stage (Pre-disease)Risk for acquiring the condition

Tailor interventions to:Prevent progression to chronic diseaseTreat when treatment most effective

Preventing Renal Failure

Preventive Nephrology

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Screening for Colorectal Cancer

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The 14 easy steps to doing a FIT.

5,000

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55,000

250 5,000

100

60,000

Top 10% 45,000Top 0.5% Standard risk

CRC350

No FIT in the last year

10

FIT Recommended Not eligible

Source: Clalit Health Services, approximate counts from one district

Patient engagement is sorted based on risk.

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Personalization

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Personalizing clinical trials outcomes

Outcome-specific Predictive

model

(1000 bootstraps)

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I-PREDICT

Recommendation

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Maya Leventer-Roberts, MD, MPH

Deputy Director, Clalit Research Institute

maya.roberts@gmail.com

Thankyou!