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JarvisCLINICAL AUTOMATION

SOLUTIONS FOR CLINICAL DEVELOPMENT

Put Clinical Expertise Where It Matters Most

Clinical professionals should spend their time making clinical and data management decisions — not repeatedly performing work that can be intelligently automated. Jarvis helps organizations combine automation with human expertise to create a more scalable EDC design process.

Pharmaceutical & Biotech

Improve Speed Without Giving Up Control

Sponsors need consistency across studies while accommodating the requirements of each individual protocol.

Clinical teams remain responsible for the final design.

01Accelerate initial EDC development
02Apply standards and organizational knowledge consistently
03Reuse approved CRFs and Edit Checks
04Improve stakeholder collaboration
05Support document-based and in-application review
06Create structured outputs for downstream EDC development

CROs

Scale Expertise Across Sponsor Studies

CRO Data Management teams work across different sponsors, therapeutic areas, protocols, standards, and design conventions.

Jarvis helps experienced Data Managers spend more time applying judgment and less time performing repetitive tasks.

01Increase Data Manager productivity
02Accelerate study startup
03Incorporate sponsor-specific standards
04Leverage organizational knowledge and libraries
05Reduce repetitive design work
06Support more studies without proportionally increasing manual effort

Life Sciences BPO

Increase Capacity Through Intelligent Automation

Outsourcing organizations depend on their ability to deliver consistent, high-quality work efficiently. Jarvis can automate portions of CRF development and review while keeping experienced professionals responsible for decisions and approval.

“More automation of repetitive work. More capacity for expert work.”

Data Management

Designed Around the Data Manager

Data Managers sit at the intersection of the protocol, clinical requirements, data standards, CRF design, Edit Check specification, stakeholder review, and EDC development. Jarvis is designed around that role.

The system provides intelligence. The Data Manager provides judgment.

01Protocol and SOA interpretation
02Identification of data collection requirements
03CRF selection and generation
04Standards alignment
05CRF modification
06Natural-language review and instructions
07PDF casebook review workflows
08Edit Check specification
09EDC preparation

Clinical Operations

Bring Clinical Expertise Into the Design Process

Effective data collection design requires input beyond Data Management. Jarvis provides a collaborative environment where Clinical Operations, Biostatistics, Medical, Programming, and other study stakeholders can review and contribute to the EDC design.

“The goal is a more connected process with fewer disconnected review cycles.”

Let’s Talk About Your EDC Design Workflow

Let’s Talk About Your EDC Design Workflow

Every organization has its own standards, processes, technology, and clinical knowledge. See how Jarvis can fit into yours.