Analytics in LS
Services

Analytics in Life Sciences

At CRA, we help our clients realize the value of data to make data-driven decisions on their commercial strategy, pricing, and market access challenges through our industry-leading analytics capabilities.

We provide real-world, data-backed insights that are actionable and drive results. We work closely with our pharma and biotech clients to develop highly customized solutions that drive competitive advantage and accelerate growth of their portfolio.

We adapt and leverage various data sources (especially patient-level claims) to provide our clients with accurate and valuable insights across disease areas. Our analytics capabilities include market sizing, patient journey, source of business, forecasting, healthcare provider (HCP) referral network, customer segmentation, KOL mapping, patient finding, clinical trial site identification, and payer analytics.

We embrace the best tools, platforms, and analytics techniques such as Snowflake, Databricks, Power BI, GPT, artificial intelligence (AI), machine learning (ML), large language model (LLM), and other deep-learning techniques to process and mine healthcare data sources.

To help our clients access the insights behind large and complex data, we have created proprietary platforms and solutions such as HCAP (Healthcare Claims Analytics Platform) and Pipeline Scout, SWAT (Strategic WAC and ASP Tool), and FAD (Formulary Analytics Dashboard).

Our focus areas

Healthcare Claims Analytics Platform (HCAP)

Healthcare Claims Analytics Platform (HCAP) is a modular, dynamic, rapidly updating data-visualization tool that provides streamlined analysis of patient, Health Care Practitioner (HCP), and Health Care Organization (HCO) level data to support decision making and insight generation. HCAP supports clients in visualizing advanced analytics to provide intelligence on patients, physicians, hospitals, and the broader healthcare market. With the information obtained from HCAP, clients are better informed to make key strategic decisions.

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Engagements

  • 01
    Transforming the Medical Quality and Medical Affairs organizations through AI and data-driven decision making
    A top global pharmaceutical company sought technological innovations to update their Medical Quality and Medical Affairs-related operating processes...
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  • 02
    Establishing real-world testing and treatment patterns for EGFR NSCLC patients
    Oncology-focused biotech was looking to establish real-world testing and treatment patterns among EGFR NSCLC patients in US, EU, Japan, and Greater China...
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  • 03
    Developed go-to-market strategy for follow-on asset with blockbuster potential
    Our client sought to develop an “agile launch” approach to commercialize its second-generation diabetes asset considering competitor pressures and anticipated..
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