September 24 2019

Solution Brief: Impact Assessment

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Leverage our real-world data & machine-learning algorithms to enable clinical and economic value assessments and values stories. Partner with Clarify’s Life Sciences experts to contextualize insights.

Solution:

Clarify uses its clinical and technological expertise to surface insights that quantify and track therapeutic impact for precise patient cohorts.

Burden of Disease: Quantify healthcare utilization and quality metrics by HCC categories for a disease population or specific patient cohort
Therapy Outcome Comparisons: Assess a therapy’s clinical and economic impact using risk-adjustment to control for other patient-complexity sources of metric variability & compare to competitor therapies
Clinical Informatics: Size “difficult-to-identify” patient cohorts across unique combinations of patient, provider, and payer characteristics across 200M democratized patient lives over 4+ years

Impact:

Generate RWE that drives market access: Move beyond basic measurement to build evidence-based cases for reimbursement that resonate with key stakeholders
Customize value messaging to payers and providers: Dynamically adjust national data-supported value messages to specific providers and payers, using timely data
“Apples to apples” population comparisons: Risk-adjust patient cohorts across therapies to mitigate audience claims that “my patients are different”

Why Clarify:

– Clinical informatics expertise enables identification of specific patient populations, including complex diagnoses and indications not easily identifiable from claims
– Extensive experience working with payer and provider customers, who trust Clarify’s proprietary risk-adjustment methodology to demonstrate impact of interventions
– Propriety attribution logic clearly identifies referrals between physicians and sites of care, enabling accurate mapping of a patient’s chronological pathway across settings
– Machine learning capabilities predict likelihood of adoption, importance of various characteristics, early adopter physicians, and provider performance by expected market share

Case study:

Increased adoption through evidence-based strategy

A global biopharma company with a therapy to treat pain related to osteoarthritis (OA)

Customer situation:
– OA pain therapy priced 100x higher than standard of care; faced market challenges despite superior efficacy
– Needed to improve and substantiate payer and provider value messaging

Clarify approach:
– Defined and built the OA episode of care algorithm to accurately identify precise patient groups
– Surfaced utilization and cost differentiators, risk-adjusting to isolate for therapeutic impact
– Identified cohorts that see outsized impact and assessed key drivers
– Armed account team with provider-specific performance dashboards

Clarify impact:
– Enhanced understanding of head-to-head performance comparisons and root-cause drivers
– Developed data-driven messaging that resonates with payers
– Significantly improved therapy adoption among providers

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