AdoptDigitalData helps lean biopharma teams adopt digital data flow pragmatically and without disrupting critical timelines

Step 1: Build a foundational understanding of Digital Data Flow (DDF)

  • Navigate the landscape: Explore available resources, industry standards and regulatory guidance.

  • Identify value: Map out practical options for how your organization can benefit from DDF.

  • Anticipate impact: Clarify how DDF may shift resources, responsibilities and clinical workflows.

    DDF is a transformational shift. AdoptDigitalData helps small pharma clinical teams kickstart their learning journey and navigate the transition.

Step 2: Invest in a POC to digitalize an existing protocol

  • Educate your teams: Build internal knowledge on the different technical and operational approaches to protocol digitalization.

  • Execute a proof-of-concept: Lead a hands-on exercise to digitalize a legacy or existing protocol aligned with the USDM standard.

  • Navigate the transition: Provide direct change management support to your study teams.

    Experience DDF firsthand without critical path risk. AdoptDigitalData delivers hands-on POC learning tailored to your team’s schedule.

Step 3: Optimize the downstream benefits

  • Standardize assets: Create reusable CRF templates to accelerate startup across future studies.

  • Align vendor management: Embed DDF workflow guardrails and expectations directly into vendor oversights and agreements.

  • Establish lean governance: Build fit-for-purpose internal metadata and standards management processes.

  • Coach your teams: Support clinical personnel as they transition away from document-centric workflows

    All functions have the potential to experience ROI for their DDF investment. AdoptDigitalData specializes in the downstream benefits for the data management function

Adopting a digital data workflow looks different for every organization. Regardless of where you are at in the process, AdoptDigitalData, can help.

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