PsychDraft
PsychDraft provides an AI-assisted clinical drafting platform that helps neuropsychologists turn interview notes, behavioral observations, and cognitive test data into editable first-draft report language. The platform uses HIPAA-eligible infrastructure via Amazon Bedrock under an active BAA, with clinician-controlled review ensuring all output is revised and approved before use.
- Healthcare Technology
- Digital Health
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Neuropsychologists face a heavy documentation burden, spending significant time converting interview notes, behavioral observations, collateral records, and cognitive test data into structured clinical reports. This administrative workload diverts attention away from clinical judgment, diagnostic reasoning, and direct patient care.
Solution
PsychDraft provides an AI-assisted drafting platform that organizes clinical information and generates editable first-draft report language. Clinicians can type, dictate, or upload notes and records into a structured workflow, and the system produces draft sections covering clinical history, test findings, and diagnostic formulation. The platform emphasizes clinician-controlled review, ensuring that all generated content is reviewed, revised, and approved by the clinician before use. By handling organization and first-draft language, PsychDraft allows neuropsychologists to focus their attention on differential diagnosis, interpretation of ambiguous data, and meaningful patient interaction.
Target Audience
Licensed neuropsychologists, supervised trainees, and authorized mental health professionals who need to streamline clinical documentation while maintaining full responsibility for diagnostic formulation and final report content.
Features
- Structured evaluation workflow that accepts typed, dictated, or uploaded clinical information
- AI-generated draft language organized into report sections including history, test findings, and formulation
- Built on HIPAA-eligible infrastructure via Amazon Bedrock under an active AWS Business Associate Addendum (BAA)
- Clinician-controlled review process with explicit separation between automated drafting and human diagnostic decisions
- No use of user-submitted clinical content or generated drafts to train public AI models
- Data encrypted during transmission (TLS) and at rest through secure cloud infrastructure
- De-identification option for clinicians to minimize direct identifiers in workflows
- Session-based workflow designed to minimize unnecessary PHI retention, with no generated report text stored after the clinical session