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BlockInterop

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Clinical Trial Data Connectivity

Improving the flow of clinical data into trial identification and recruitment workflows.

Challenge

Improving the flow of clinical data into trial identification and recruitment workflows.

Capabilities

  • FHIR
  • EHR integration
  • Patient matching
  • Consent workflows
  • Research operations

Research Approach

  1. 01

    Study and data requirement review

    Clarify which clinical data elements support identification and screening, and where those elements originate in the care environment.

  2. 02

    Data access design

    Define FHIR-based access patterns, identity and matching logic, and the privacy and consent controls that must accompany each data flow.

  3. 03

    Workflow integration

    Fit candidate identification and outreach into research and clinical operations rather than creating a parallel manual process.

  4. 04

    Validation and operating model

    Test matching behavior and data quality, then define the ongoing operational ownership, monitoring, and escalation path.

Discuss this research approach

Walk through how this approach would apply to your environment, constraints, and timeline.

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Not Sure Where to Start?

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Ready to Move Interoperability Forward?

Whether you are preparing for new CMS requirements, modernizing healthcare integrations, connecting to a QHIN, or building a FHIR-enabled product, BlockInterop can help you define the right path and execute it.

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