Research and RWE Generation

The BHI RWE team comprises over 30 highly skilled and experienced individuals who possess diverse backgrounds in various disciplines including:

  • Data Science
  • Clinical Informatics
  • Health Economics
  • Healthcare Policy
  • Pharmacy

Our team members bring a wealth of knowledge and expertise from their prior work experiences at prestigious organizations, including:

  • Biopharma Companies
  • Provider Health Systems
  • Payers
  • RWD/RWE (Real-World Data/Real-World Evidence) Vendors
  • Analytics Companies

Through their collective experiences, our team is equipped to provide comprehensive and cutting-edge solutions in the field of RWE generation.

30+ Team Members, IGCP Trained, Independent Review Board

Clinical Research Use:

Protocol Creation and Study Design

Blueprints for conducting RWE studies, ensuring that the research is conducted in a rigorous and transparent manner, and that the objectives of the study are met.

IRB Submission

The IRB submission is a crucial step in conducting ethical and compliant RWE research, ensuring that the study adheres to ethical guidelines and regulatory requirements. BHI ensures the protection of participants rights and welfare via this IRB evaluation.

Participating Patient Data Delivery

Delivery of data on participating patients (de-identified and via tokens) during and after main study to enable comparative effectiveness studies including Real World that can be submitted to payers and other parties to justify benefits and impact formulary decisions.

Publication Drafting and Submission

Preparation and drafting of scientific manuscripts or articles to present findings and methodology of studies utilizing our real-world data.

Regulatory Submission Support

Assistance and guidance in preparing and submitting research findings utilizing our real-world data to regulatory authorities.

HEOR Studies

Analyze economic and clinical outcomes of healthcare interventions to assess the cost-effectiveness, safety, and overall value of medical treatments and healthcare policies to inform decision-making in the healthcare industry.

Patient Journey Analysis

Understand the complete trajectory of patients throughout their healthcare experience, from initial diagnosis to treatment and outcomes.

Comparative Effectiveness Studies

Compare the effectiveness of interventions, treatments, or strategies in real-world settings.

Health Equity Analyses

Insight generation into health access and quality barriers based on SDOH challenges. Insight into different patient pathways and outcomes that are affected by SDOH factors and characteristics.

Cohort Calibration

SDOH and Diversity cohort balancing for RWE use cases, including identification of optimal sites/geographies for trial recruitment, focused on representation.

Synthetic Control Arms

Propensity matched patients to create synthetic control arms for post marketing surveillance and enhanced cohorts for rare diseases or trials with cohorts that are not representative.

BHI Data is Best-in-Class for RWE

We take a standardized approach to data management by implementing a unified data model that is consistently applied across all contributors. This ensures that the data collected from various sources is structured and organized in a uniform manner.

Furthermore, we maintain a rigorous quality assurance process to validate the accuracy and reliability of the data. This process has been certified by Milliman, a reputable authority in the field, using a comprehensive four-stage certification methodology that tracks field accuracy, and data completeness.

We maintain relationships with all of our data contributors and work with our customers to ensure they fully understand the content of the data and advise on the best ways to use the data to support RWE objectives.

With BHI you can rely on a robust data set sourced from 29 unique organizations, encompassing over 300 distinct plan designs that cover 100% of ZIP codes in the nation. This extensive coverage allows for the segmentation of data based on various plan designs and formularies, providing a more comprehensive and nuanced understanding of the study objectives, and enhancing the validity and applicability of the analyses conducted.

BHI takes pride in the exceptional completeness of its data, with fill rates surpassing 99% for crucial fields, including allowed amounts, National Provider Identifiers (NPIs), and multiple diagnoses. By maintaining near-perfect fill rates, BHI ensures that no critical details are missing, enabling comprehensive insights and informed decision-making.

BHI’s database encompasses a significant duration of continuous enrollment, specifically exceeding three years for more than 50% of members and surpassing five years for over 40% of members. We also maintain a master member index (MMI) across all of our data contributors to be able to track members as they move across health plans. This extended period of continuous enrollment ensures a substantial and reliable data set, allowing for a comprehensive understanding of patient information and trends over an extended timeframe.

Our Solutions to Your Challenges

Read these case studies for real-world applications of our data.

Let's Work Together.

BHI’s data science and analytics experts are multi-degreed professionals with years of combined healthcare experience spanning analytics, clinical practice, epidemiology, statistics, employer consulting, benefits support, predictive modeling, real-world evidence, and financial and business analysis.

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