Vega Awards Silver Winner Winner

2025

CliniQ

Entrant Company

LIMINAL COLLECTIVE LLC

Category

Interface & User Experience (Single) - UI - Product Interfaces

Client's Name

Country / Region

United States

CliniQ redefines mental health consultations by seamlessly integrating AI-driven insights throughout the clinical workflow. From pre-session patient history analysis to real-time support during meetings and automated SOAP note generation post-session, CliniQ clears administrative clutter, empowering clinicians to focus on more meaningful and compassionate connections with their patients.

Mental health clinicians face fragmented patient data, overwhelming documentation, and limited time for meaningful interactions. CliniQ transforms this experience by integrating AI insights across the entire consultation journey, allowing clinicians to focus on what truly matters—patient care.

Before the Meeting: AI-driven patient history summaries provide an overview of trends, missed medications, and flagged symptoms. Clinicians step into sessions fully prepared, knowing exactly where to focus. Smart insights help them anticipate needs and structure their approach, ensuring a more personalized and effective consultation.

During the Meeting: CliniQ’s real-time assistant flags critical information, suggests relevant questions, and ensures that no key detail is overlooked. AI-powered prompts enhance discussions by identifying patterns and helping clinicians address concerns proactively. By reducing cognitive strain, CliniQ allows them to stay fully engaged and present with their patients.

After the Meeting: Auto-generated SOAP notes and AI-curated summaries simplify documentation, reducing workload while ensuring accuracy. Clinicians can edit and approve notes in seconds for seamless EHR integration. AI structuring ensures clarity, improving follow-ups and continuity of care.

By eliminating cognitive overload and streamlining workflow, CliniQ empowers clinicians to offer more sessions, provide better care, and deliver compassionate, patient-centered mental health support.

Credits

Lead UX Designer
Yizhen Li
UX Designer
Yuhong Zhu
UX Designer
Jingyi Zhu
2025
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