PsychInsightPro
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.
Client device stores journal entries + reasoning. Only scores, trends, timestamps sync to therapist dashboard.
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: Heated • Risk Tier 2: Crisis • Risk Tier 3: Extreme Abuse (harm)
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. PsychInsightPro 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 and bids for connection. 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.
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.
Detects repairs and bids as positive connection markers. Frequency and timing are tracked to inform therapeutic interventions.
Dashboards expose scores, trends, and counts—not narratives—protecting client privacy while increasing clinical utility.
From anecdotes to analytics—actionable data for session planning.
Provides SOAP-ready EHR data to help reduce administrative burden.
Raw text is stored on the device; only trends & scores are shared.
Complements varied methodologies with common, meaningful metrics.
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Hill Abrahams
Founder, UCANRR Software, LLC
For collaboration and pilot requests, we're happy to share additional technical details under NDA.