Digital Symptom Diary & AI Patient Assistant

Mobile-first symptom logging and AI support concept for ambulatory cardiac monitoring workflows.

Domain: Healthcare Software Status: VP Approved Concept Tools: React Native, Copilot Studio, Power Automate
AI Assistant React Native Healthcare UX Product Strategy
Domain:Healthcare Software
Status:VP Approved Concept
Tools:React Native, Copilot Studio, Power Automate

Mission

Improve the patient experience for ambulatory cardiac monitoring by replacing fragmented paper symptom diaries with structured digital data capture and a scalable support layer.

Problem

Patients using ambulatory cardiac monitors often relied on paper diaries to record symptoms, activities, timestamps, and notes. Over time, this manual workflow created friction for patients and made downstream review less consistent for clinical and support teams.

Approach

Over approximately 8 months, the concept evolved from paper workflow mapping into a mobile-first symptom logging prototype, then expanded into an AI-enabled patient support concept for common non-clinical device and workflow questions.

Validation

Collaborated with engineering, patient services, product, sales, regulatory, legal, and cardiac technician stakeholders to evaluate workflow feasibility, patient value, implementation risk, and business impact through iterative feedback.

Outcome

The work connected patient experience, data quality, support efficiency, and market competitiveness into a clearer product direction. The concept was approved by divisional leadership for further exploration.

Tags
AI Assistant React Native Healthcare UX Product Strategy

From Paper to Digital

Paper symptom diary workflow
Manual Paper Diary Patients previously tracked symptoms, activities, timestamps, and notes on paper, which created friction and made downstream review less consistent.
Digital symptom diary mobile app screens
Digital Symptom Diary The mobile diary translated the same workflow into structured digital inputs, making symptom logging easier for patients and more consistent for clinical and support teams.

This shift from paper to digital was the first major product step, converting a fragmented workflow into structured, reviewable data.

AI Support Layer

After digitizing the symptom logging workflow, the next step was adding an AI-powered patient FAQ assistant to help answer common non-clinical device and workflow questions, reducing support friction and improving the overall patient experience.

The chatbot was designed as a support layer on top of the digital diary experience, not as a replacement for clinical care.