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AI-ML-enabled-real-world-evidence(RWE)-analytics

AI/ML enabled real-world evidence (RWE) analytics

Augment value for pharma and med devices by analyzing RWE across the product life cycle.

Real-world evidence

As the focus on value-based pricing increased, the importance of real-world evidence rises to support clinical inferences on treatment efficacies. The information from electronic health and medical records (EHR/EMR) along with other patient treatment records is compelling to guide companies, physicians, and the managed care ecosystem to deliver truly benefitting patient outcomes. Razor-sharp data and analytics capabilities are crucial for harvesting real-world data (RWD) and delivering evidence-based assessments across the healthcare value continuum.

Axtria’s experience with RWD processing and management, along with its AI/ML RWE models, help healthcare stakeholders generate and demonstrate value and meet growing evidence generation requirements.

Real-world-evidence-(RWE)
Read Report / HEOR value demonstration and evidence generation challenges   

Drivers for evidence-based demonstrations across the product lifecycle

Pre-launch
Launch & scale
Loss-of-exclusivity (LOE)
Pre-launch
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  • Unmet need and disease burden
  • Patient recruitment
  • Understand the standard of care
  • Clinical trial design
Launch & scale
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  • Patient safety
  • Product comparative effectiveness
  • Patient adherence
  • Prescribing patterns
  • Differentiation in sub-populations
  • Long-term clinical outcomes
  • Target population implications
Loss-of-exclusivity (LOE)
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  • Effects of switching on outcomes
  • Usage differences
  • Differentiate with or vs. protected formulation
  • For payers to deliver cost-effective care coverage and value for patients’ money.
  • For providers to identify better ways to manage patient health.
  • For life sciences organizations to make better decisions related to pre-launch, market access, and commercialization.

Axtria’s RWE/HEOR solutions span across the healthcare value spectrum

RWD EXPERTISE

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Patient claims

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EHR/EMR data

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Lab results

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Patient registries

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Adverse event reporting

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Patient-powered research networks (PPRN)

RWE/HEOR APPLICATIONS ACROSS DOMAINS

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Study design

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Epidemiology analysis

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Real world comparative analysis

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Patient compliance and persistence

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Market access and reimbursement strategy

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Biomarker analysis

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Burden of disease analysis

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Drug utilization and patient profiling

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Publication and HTA submission support

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Budget impact analysis