Forma Health provides a platform that captures real-time, conversational speech from patients and converts it into structured, research‑ready longitudinal datasets. By extracting up to 25 data points every 15 seconds, the system enables clinicians to track timing, severity, medication adherence, and environmental factors without relying on retrospective surveys.
Funding
Funding not disclosed
Founders
Product
Problem
Clinical research and patient monitoring rely on retrospective surveys and diaries, which often miss contextual details, suffer from recall bias, and lead to incomplete or inaccurate data. This limits the ability to track real-time symptom timing, medication adherence, and environmental factors, reducing the quality of longitudinal datasets needed for studies and care decisions.
Solution
Forma Health offers a conversational speech capture platform that records patients’ natural spoken reports and automatically extracts up to 25 structured data points every 15 seconds. The system transforms raw audio into coded, research‑ready longitudinal datasets that include timing of events, severity, medication adherence, injury details, and environmental conditions. By processing speech in real time, the platform eliminates reliance on patient recall and reduces survey fatigue, delivering high‑fidelity data continuously. An AI layer surfaces correlations and patterns that static surveys cannot detect, enabling researchers and clinicians to gain deeper insights into disease progression and treatment effects. The solution is delivered through a simple mobile app that patients use daily, ensuring consistent engagement without the burden of traditional logging tools.
Target Audience
Primary customers are clinical research organizations, pharmaceutical companies, and academic investigators conducting rare‑disease studies, real‑world evidence trials, and patient registries that require high‑resolution, longitudinal patient data.
Features
- Real-time speech capture that converts conversational input into structured data points every 15 seconds
- Extraction of up to 25 clinically relevant variables per interval, including event timing, severity, medication adherence, injury location, and environmental metrics
- Automated coding and longitudinal dataset generation ready for research analysis and integration with clinical trial systems
- AI-driven analytics that identify correlations and trends across the continuous data stream
- Mobile “Log App” designed for daily patient use, minimizing survey fatigue and maximizing data completeness
- Secure, HIPAA‑compliant data handling with encrypted transmission and storage