e-DICT

e-DICT is a patented AI/ML data platform developed by Acclinate, designed for clinical trial sponsors seeking representative, verifiable diversity data to support enrollment forecasting and regulatory compliance. It is built on authenticated community data sourced from Acclinate's NOWINCLUDED platform, converting real community engagement into predictive intelligence that clinical teams can use to reduce trial risk and accelerate timelines.

The platform addresses a recognized gap in clinical research: the absence of reliable, representative data needed to forecast enrollment and validate diversity metrics. e-DICT transforms community trust and engagement into structured, actionable data aligned with regulatory mandates around trial diversity.

Core Features and Capabilities

• Regulatory-Ready Compliance Tracking: Produces authenticated data with exportable, verifiable reports suitable for regulatory submissions.
• Predictive Enrollment Intelligence: Forecasts enrollment risk, community readiness, and potential participant drop-off before these issues occur in the trial.
• Participation Probability Index (PPI): Predicts the likelihood of enrollment at the community, site, and study level, providing granular visibility into where participation is most and least likely.
• Real-Time Representation Metrics: Tracks engagement levels, demographic data, and participant readiness as they change over the course of a trial.
• System Integration: Connects with electronic health records (EHRs), customer relationship management (CRM) systems, and trial management platforms.

Data Foundation

• e-DICT is trained exclusively on authenticated data collected through NOWINCLUDED, Acclinate's community engagement platform.
• Data inputs include community member surveys, omnichannel engagement touchpoints, and filmed personal stories, ensuring the underlying dataset reflects genuine community perspectives rather than unverified proxies.
• The platform is described as the only AI/ML engine trained on this type of authenticated community data, addressing the industry problem of unverifiable diversity metrics.

Documented Use Case: COPD Research

• Acclinate partnered with a biotechnology research company from April 2023 to July 2024 to expand representation of Black and African American communities in COPD clinical trials.
• The engagement effort reached over 54,000 community members through an omnichannel approach.
• More than 830 surveys were collected from community members, and over 140 personal stories were filmed through the NOWINCLUDED platform.

e-DICT integrates with existing clinical and operational systems including EHRs, CRMs, and trial management tools, supporting deployment within established sponsor and CRO workflows. Its outputs are designed to meet regulatory requirements for diversity reporting, providing exportable and verifiable documentation of community engagement and representation metrics.