This startup provides a digital platform to manage and coordinate patient care across different providers and settings. The platform aims to improve communication, streamline workflows, and enhance the overall patient experience.
Funding
Funding not disclosed
Founders
Product
Problem
Mental healthcare providers often face challenges in efficiently analyzing patient session data and accurately diagnosing mental health conditions due to the subjective nature of traditional assessment methods and the increasing complexity of patient needs. This can lead to inconsistencies in diagnoses, increased workloads, and difficulty in tracking patient progress over time.
Solution
ThoughtTree offers an AI-driven clinical decision support platform that assists mental healthcare providers in analyzing patient data, generating evidence-based recommendations, and producing real-time assessment analytics. The platform leverages a proprietary PatientPrompt infrastructure, which employs a Large Language Model (LLM) technology and multiple Retrieval-Augmented Generation (RAG) modules aligned with the DSM-5 TR to provide structured, clinically relevant insights from long-form session notes. By integrating features like session summarization, detailed diagnostics, patient progression visualization, and CBT-aligned follow-up suggestions, ThoughtTree enhances the accuracy and efficiency of mental healthcare delivery.
Target Audience
ThoughtTree primarily serves mental healthcare providers in practices, clinics, social services, and education systems, including psychologists, counselors, and other mental health professionals who need assistance with patient assessment, diagnosis, and treatment planning.
Features
- AI-powered session analysis using PatientPrompt infrastructure for in-depth insights from patient responses.
- Predictive assessment suite utilizing over 100 published psychological assessments for accurate diagnoses and risk assessment.
- PatientTree dashboard to visualize patient's mental health journey, track trends, and monitor improvements.
- CBT-aligned follow-up suggestions based on session analysis and patient progress reports.
- Multimodal NLP insights to process text, audio, and video session data.
- Practice management tools for scheduling clients and accessing session documentation.
- Secondary User Reporting system for institutions to authorize additional users to report on patient wellbeing.
- HIPAA-compliant data security with end-to-end encryption and role-based access controls.
- Integration with DSM-5 TR and a corpus of over 50,000 peer-reviewed psychology studies for evidence-based results.
- Wellness surveys and secondary reporting forms for educational institutions to proactively identify students needing support.