UCANRR

Relational Measurement Infrastructure for Therapy

Helps transform free-text journal entries into Measurement Based Care for therapists and clients. This novel system design uses a continuum of Care, Neglect, and Abuse (harm) to categorize and quantify daily relational signals.

  • Augments PHQ-9 and GAD-7 with structured relational trajectory data that often precedes symptom shifts.
  • Detects relational deterioration earlier than symptom measures alone, improving session precision.
  • Integrates seamlessly with existing systems via secure API—sharing structured metrics, never raw text.
Get in Touch
Privacy-First Architecture (patent pending)

Client device stores journal entries + reasoning. Only scores, trends, timestamps sync to therapist dashboard.

Continuum
Care (+10 to +1), Neglect (0), Abuse (harm) (−1 to −10)
.
Signals
Repairs, bids, frequency, neglect counts, Simulated Care Exposure (SCE)
Safety Evaluation Layer

All journal entries are screened for crisis risk and extreme harm indicators. The system assigns a risk tier that can guide UI behavior (e.g., enable/disable sharing, prompt resources, alert workflow) while preserving privacy.

Risk Tier 0 • Normal Risk Tier 1 • Ambiguous Monitor / Heated Risk Tier 2 • Crisis Risk Tier 3 • Extreme Abuse

About UCANRR -- Understanding the Care, Abuse (harm), and Neglect Continuum - Recognition and Reporting

The Business Need. Therapy progress often relies on subjective recall. Clients forget specifics; clinicians get anecdotal snapshots. Existing tools rarely provide quantified, clinically meaningful patterns, and they frequently compromise privacy by centralizing raw text.

Our Approach. UCANRR provides Relational Measurement Infrastructure using transformer-based sentiment analysis tailored to relationship health. Journal entries are scored on a Care / Neglect / Abuse (harm) continuum and we detect repairs, bids for connection, neglect, and Simulated Care Exposure (SCE)—references to AI companions or chatbots as a relational source. Therapists see score trends, scatter plots and regression lines—never raw journal entries.

Privacy by Design. Reasoning and raw text remain on the client device. Only minimal, structured metadata (scores, timestamps, indicators) is shared. This encourages honesty, protects confidentiality, and supports adoption in clinical settings.

  • Therapy-agnostic metrics
  • Actionable dashboards (trends vs. anecdotes)
  • Patent-pending architecture

Our Research

Continuum Scoring

Quantifies relational signals along a continuous scale (Care +10 to +1; Neglect 0; Abuse (harm) −1 to −10) to enable trend analysis and early risk detection.

Signal Detection

Detects repairs, bids for connection, and neglect as relational markers, and flags Simulated Care Exposure (SCE) when entries reference AI companions or chatbots as a relational source. Frequency and timing are tracked to inform therapeutic interventions.

Therapist-Only Scores

Dashboards expose scores, trends, and counts—not narratives—protecting client privacy while increasing clinical utility.

Simulated Care Exposure (SCE)

When analyzing journal entries, the system automatically detects references to AI companions or chatbots (e.g., ChatGPT, Replika, or similar AI chat tools) as a source of relational interaction. This is flagged as Simulated Care Exposure—a signal that a client may be supplementing or substituting human connection with AI-generated responses. SCE is surfaced as a distinct indicator on the therapist dashboard, allowing clinicians to explore the role of AI relationships in the client's relational landscape without accessing the underlying journal text.

Value at a Glance

Structured Insight

From anecdotes to analytics—actionable data for session planning.

Provides SOAP-ready EHR data to help reduce administrative burden.

Privacy-First

Raw text is stored on the device; only trends & scores are shared.

Therapy-Agnostic

Complements varied methodologies with common, meaningful metrics.

Frequently Asked Questions

Have More Questions? Chat with Our AI Assistant!

Get instant answers about UCANRR, our technology, clinical applications, and more through our interactive AI chat. Under development.

How will UCANRR help in real sessions?
Clients record brief journal entries naturally. The system classifies and quantifies relational signals; clinicians see trends and scores, enabling more focused interventions and reducing time spent reconstructing events. SOAP-ready.
What about privacy and confidentiality?
Reasoning and raw text remain on the client's device. Only minimal metadata (scores, timestamps, indicators) is shared to the therapist dashboard.
Which therapy frameworks does this fit?
It is therapy-agnostic. Metrics like care/neglect/Abuse (harm) and repairs/bids support many modalities and complement existing approaches.
Is this product available now?
Prototype tested on iOS/Android; non-provisional patent work is in progress. We are seeking collaborators and clinical pilots.
Does therapist data include client raw journal entries?
No. Only scores and trends. This preserves confidentiality and encourages honest recording.
How can we collaborate?
We welcome clinical and technical partners for pilots, validation, and integrations. Contact us below to discuss NDA-protected details.

Contact

Hill Abrahams
Founder, UCANRR Software, LLC

hillabrahams@ucanrr.com

(850) 666-2720

For collaboration and pilot requests, we're happy to share additional technical details under NDA.