MentalHealthCheck: Weekly Mood Drift Detector
Automatically flags concerning mood patterns in therapy clients by analyzing session notes and mood logs to alert therapists to potential crises before they escalate.
The Problem
Therapists see clients weekly or bi-weekly but can't detect rapid mood deterioration between sessions. Clients often downplay their mental state in-session, and therapists lack a structured system to spot trends that warrant urgent intervention. This gap costs lives—suicide risk often escalates undetected in the days between appointments.
Target Audience
Licensed therapists and counselors (especially those in private practice with 20-100 active clients), therapist offices, and telehealth platforms like BetterHelp that need risk management tools.
Why Now?
Therapists are increasingly using digital notes and mood-tracking apps with clients. Claude's API makes sentiment analysis accessible without ML expertise, and therapists are actively seeking liability-reducing tools post-standard-of-care lawsuits around missed warning signs.
What's Missing
Existing EHR systems are bloated and expensive ($300+/month). Therapists manually track mood notes in loose PDFs or spreadsheets. There's no affordable, therapist-centric tool that flags mood drift with clinical confidence.
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