From Protocol to EDC.
Jarvis combines clinical knowledge, purpose-built AI, and intelligent automation to transform EDC design from a largely manual process into an efficient, collaborative workflow.
Clinical professionals remain at the center — reviewing, refining, and making the decisions that shape the final study design.
Clinical Protocol
Source Requirements
Jarvis Clinical Intelligence
Clinical Knowledge & SLMs
Initial EDC Design
Candidate CRFs & Checks
Data ManagerReview & Decisions
Decisions & Approval
Final EDC Design
Approved Model
EDC
Downstream Build
The Challenge
EDC Design Remains Too Manual
Clinical trial database development begins with understanding what the protocol requires and translating those requirements into a practical data collection design. That process still requires substantial manual effort.
Data Managers must interpret protocol requirements, identify assessments and data collection needs, apply clinical and organizational standards, design CRFs, create Edit Check specifications, gather stakeholder feedback, manage revisions, and prepare the design for EDC implementation.
Jarvis is designed to empower Data Managers with an Always-On AI EDC Builder.
- 01Lengthy design cycles
- 02Repetitive manual work
- 03Fragmented review and collaboration
- 04Inconsistent application of standards and organizational knowledge
- 05Rework as study requirements evolve
- 06Additional effort translating finalized designs into EDC systems
The Jarvis Approach
Purpose-Built for Clinical Data Management
Jarvis does not simply send a clinical protocol to an LLM and ask it to design CRFs and create Edit Check specifications. It combines multiple technologies and sources of intelligence to support the EDC design process.
Clinical Knowledge
Jarvis applies knowledge of clinical study structure, protocol content, Schedules of Activities, assessments, visits, clinical data collection, and EDC design — not simply formatting conventions or data standards.
Intelligent Automation
Purpose-built automation identifies, structures, and processes clinical requirements using deterministic methods where those methods provide greater consistency and control.
Fit-for-Purpose AI
Jarvis can use specialized AI, including Small Language Models (SLMs) and selective Large Language Model (LLM) capabilities, for tasks where those technologies provide value.
Organizational Knowledge
Sponsor standards, CRF libraries, historical designs, and organizational conventions can inform the design process.
Human Expertise
Clinical professionals review the results, make design decisions, and remain in control throughout the process.
How It Works – CRF Module
From Protocol Requirements to Review-Ready CRF Design
Understand
Jarvis identifies and structures study-specific data collection requirements, including information contained within the Schedule of Activities.
Apply Clinical Intelligence
Clinical knowledge, standards, organizational libraries, and study-specific requirements inform the design.
Generate
Jarvis creates a set of candidate CRFs and an initial structured CRF design, giving the Data Manager a meaningful starting point rather than a blank form builder.
Select & Review
The user selects the CRFs appropriate for the study and reviews the proposed design.
Refine & Collaborate
Feedback can be entered directly in Jarvis or through an exported PDF casebook, then translated into structured updates.
Finalize & Integrate
The approved design can be transformed into structured outputs that support downstream EDC development.
AI Accelerates the Work.
People Make the Decisions.
Jarvis is built around a simple principle: clinical automation should amplify expertise — not replace it.
The Data Manager remains central to EDC design. Jarvis helps perform the repetitive and time-consuming work involved in interpreting, structuring, generating, reviewing, and updating the design, while giving clinical professionals natural ways to communicate their intent.
Jarvis doesn’t replace the Data Manager. Jarvis gives the Data Manager an Always-On AI EDC Builder.
Who Jarvis Is For
Pharmaceutical & Biotech
Accelerate CRF development while improving consistency across studies and programs.
CROs
Increase operational efficiency and help Data Management teams support more sponsor studies.
Life Sciences BPO
Automate repetitive design activities and allow experienced staff to focus their expertise where it matters most.
Clinical Data Management
Give Data Managers intelligent tools for protocol interpretation, EDC design, review, collaboration, and design updates.
Clinical Operations & Study Teams
Provide clinical stakeholders with a structured way to participate in and review data collection design.
A More Intelligent Way to Design Clinical Studies
A More Intelligent Way to Design Clinical Studies
See how Jarvis can help your organization accelerate EDC design while keeping clinical professionals in control.