ELICIT helps healthcare organizations acquire trusted clinical evidence through adaptive AI-guided interactions governed by configurable clinical objectives, evidence requirements, and organizational policies. By improving the quality, consistency, and governance of clinical evidence, ELICIT supports better-informed healthcare decisions while providing the trusted evidence foundation for next-generation healthcare AI applications.
Innovation Status
ELICIT is currently an innovation initiative under active design and development. The concepts presented here illustrate the platform vision, architecture, and approach rather than a commercially released product.
Healthcare decisions depend on the quality of clinical evidence. Yet clinical information acquisition often remains fragmented, incomplete, and inconsistent. Static questionnaires, manual interviews, and documentation workflows frequently fail to capture complete, relevant, and trustworthy evidence. As AI becomes increasingly integrated into healthcare, the quality, governance, and traceability of clinical evidence become the foundation of trustworthy clinical decision-making.
ELICIT acquires trusted clinical evidence through adaptive AI-guided interactions governed by configurable clinical objectives, evidence requirements, and organizational policies.
Adaptive Clinical Evidence Acquisition
Guides AI-driven clinical interactions that adapt dynamically to acquire more complete, relevant, and consistent clinical evidence aligned with defined clinical objectives.
Governance-First Architecture
Embeds configurable governance policies throughout the evidence acquisition process to ensure every interaction follows organizational requirements for quality, compliance, and oversight.
Trusted Clinical Evidence
Produces standardized, trustworthy clinical evidence that can be consistently interpreted, integrated, and reused across healthcare systems and AI applications.
Privacy-First Design
Protects sensitive health information through privacy-by-design principles, minimizing unnecessary exposure while supporting secure evidence acquisition and information sharing.
Configurable Clinical Objectives
Enables healthcare organizations to define their own clinical objectives, evidence requirements, workflows, and governance policies without changing the platform.
AI Model Independence
Supports multiple AI models through a vendor-neutral architecture, allowing organizations to adopt, evaluate, and evolve AI technologies without platform lock-in.
Auditability & Traceability
Maintains comprehensive audit trails that provide transparency into how clinical evidence was acquired, governed, and processed, supporting accountability and regulatory requirements.
Enterprise Integration
Integrates with existing healthcare systems, clinical workflows, and digital health solutions through standards-based interfaces, enabling organizations to extend rather than replace their existing technology ecosystem.
ELICIT empowers clinicians by improving the quality, consistency, and governance of clinical evidence that supports healthcare decision-making. Rather than replacing clinical expertise, ELICIT helps healthcare organizations build greater confidence in the evidence that informs both clinicians and AI.
As healthcare continues to embrace AI, connected technologies, and intelligent automation, trusted clinical evidence will become the foundation for safer, more transparent, and more effective healthcare. ELICIT is designed to provide that foundation.
Whether you're exploring a similar challenge, evaluating your technology strategy, or planning a new initiative, we'd be happy to discuss how our advisory and engineering expertise can help.