Privy AI: Automated Note Taking for Physical Therapists

Authors

Landry Geiger, University of Nebraska - LincolnFollow
Zachary Wallenburg, University of Nebraska - LincolnFollow
Nathan Van Drie, University of Nebraska - LincolnFollow
Karla Sierra, University of Nebraska - LincolnFollow
Bennett Anderson, University of Nebraska - LincolnFollow

First Advisor

Rob Nickolaus

Date of this Version

Spring 5-17-2025

Document Type

Thesis

Citation

Geiger, L., Wallenburg, Z., Van Drie, N., Sierra, K., & Anderson, B. 2025. Privy AI: Automated Note Taking for Physical Therapists. Undergraduate Honors Thesis. University of Nebraska-Lincoln

Comments

Copyright Landry Geiger, Zachary Wallenburg, Nathan Van Drie, Karla Sierra, and Bennett Anderson 2025.

Abstract

This paper presents the 2024–2025 Design Studio project for PrivyAI, a medical technology startup focused on automating physical therapy documentation. The team developed a minimum viable product: a web application that transcribes clinician-patient interactions and generates AI-assisted electronic health record (EHR) notes from customizable templates. The platform includes features for session recording, note management, and template creation, aiming to reduce administrative burden and improve documentation accuracy. Future development areas include patient management dashboards, automated onboarding, and dynamic multi-template note generation. The project delivers a scalable solution aligned with clinical workflows and regulatory expectations.