VitaTrax

Designing the Future of Remote Therapeutic Monitoring

Designing the Future of Remote Therapeutic Monitoring

Client

VitaTrax

Role

Associate Product Designer

Year

2025

Info

VitaTrax is a Remote Therapeutic Monitoring (RTM) platform used by pain clinics to help clinicians track patient recovery and adherence between visits. I joined the team as an Associate Product Designer, my role focused on optimizing the interfaces' user experience. I contributed to user research, accessibility redesign, UX writing, and the refinement of PainPal, an AI-assisted journaling feature that turns daily pain logs into clinician-ready qualitative summaries.​

The goal: make remote care feel more human, inclusive, and trustworthy, especially for older adults and low-tech users.

Problem

Problem

Where RTM Breaks Down

Remote monitoring promises continuity of care, but in practice, many RTM tools fails due to low patient adherence, accessibility barriers, and clinician overload.

From early discovery and product data, we identified three systemic issues:

UNDERSTANDING THE MARKET

RTM is one of the fastest growing segments within digital health, driven by reimbursement expansion, an aging population, and increased demand for hybrid care models.

In the U.S., the RTM market is projected to grow at a significantly higher rate than traditional Remote Patient Monitoring (RPM), fueled by CPT codes that reimburse non-physiologic, patient-reported data, such as pain levels and functional status. These reimbursement models allow clinics to track recovery between visits while supporting value-based care.

Despite strong financial incentives for RTM adoption, many clinics struggle with sustained engagement and clinician workflow integration. This gap between market opportunity and real-world adherence creates both a product risk and a design opportunity.

Landscape Overview

To ground my design decisions in real-world patterns, I conducted a competitive analysis of existing RTM and digital health platforms used by pain clinics and chronic condition patients.

Rather than benchmarking features, the analysis focused on experience patterns that directly influence engagement and user drop-off.