PHD is a digital recovery platform that provides daily, voice‑first check‑ins and personalized care pathways by using a proprietary personality assessment to tailor interactions. It aggregates data from over 40 validated clinical scales, stores it in HIPAA‑aligned, AES‑256 encrypted architecture, and lets patients control who can access their information, enabling early pattern detection and coordinated support for therapists and support networks.
Funding
Funding not disclosed
Founders
Product
Problem
Patients in recovery often lack continuous support between therapy sessions, leading to gaps in monitoring mental health status and delayed detection of worsening symptoms. Traditional check‑in tools are generic and do not adapt to individual coping styles, limiting their usefulness for personalized care.
Solution
PHD offers a voice‑first platform that delivers daily check‑ins tailored to each patient’s personality profile. An adaptive personality assessment determines how users process stress and interact with others, allowing the system to customize question phrasing and response handling. Responses are automatically scored across more than 40 validated clinical scales—including depression, resilience, and self‑efficacy—and tracked over time to identify early risk patterns. Data are stored in a HIPAA‑aligned, AES‑256 encrypted environment with granular consent controls, enabling patients to share specific information with therapists or support networks as they choose. Real‑time alerts notify clinicians of emerging crises, facilitating proactive intervention while preserving patient privacy.
Target Audience
Primary users are individuals undergoing mental health or substance‑use recovery who need continuous, personalized support, as well as therapists and care teams seeking secure, data‑driven insights to augment treatment.
Features
- Voice‑first daily check‑ins that adapt in real time to the user’s personality profile
- Proprietary personality instrument that guides interaction style and stress‑processing insights
- Automatic scoring of 40+ validated clinical scales with longitudinal trend tracking
- HIPAA‑aligned architecture with AES‑256 encryption and granular, consent‑driven data sharing controls
- Real‑time therapist alerts based on detected risk patterns and early warning signals
- Audit logging of all data access and sharing events for compliance and transparency