PDF Export & Reports

Compact, clear PDF reports serving as Patient-Generated Health Data (PGHD) for clinical practice.

Download App
MoodTrackMe Logo
Mood
TrackMe
MoodTrackMe Report
moodtrack.me
Today 1:41 PM
Name: Alex
Focus: bipolar
Period: Last 30 Days
Premium Therapy Report
Executive Summary
Avg Mood 5.0 / 10
Avg Sleep 9.0 h
Fluctuation Stable
Critical Days (< 3) 0
Research-Based Trend Prediction
Current Trend: Elevated ↑
Key Influencing Factors (Correlations):
Sleep
-19% ↓
Weight: 35%
Current data shows: Lack of sleep is an 89% accurate predictor of manic phases (BBR Foundation).
[Wehr et al., 1987]
[Harvey et al., 2005]
Steps
-51% ↓
Weight: 15%
Decreasing activity correlates with depressive phases.
[Malhi et al., 2019]
Activity
+70% ↑
Weight: 12%
Increasing energy expenditure – possible indicator of mania.
[Dunn et al., 2005]
How it works

How does it work?

With one click, the progress (mood, sleep, symptoms) of a selectable period can be generated as a clear PDF and shared via email or printed.

„A patient brings the PDF report. The therapist immediately notices the mood drop in week 2 and can specifically ask about it.“

Scientific Background

Scientific Background

Human memory is heavily influenced by 'recency bias'—patients primarily recall the last 48 hours. Exportable data prevents skewed clinical assessments by providing an objective foundation.

Therapeutic Benefit

Therapeutic Benefit

Research on PGHD shows it provides a crucial longitudinal, real-time view of a patient's health between encounters. Therapists receive structured data as an optimal agenda-setter.

Scientific Research

Scientific Research

Smartphone-Based Digital Phenotyping Across Health Conditions: Scoping Review.

Dumas et al., 2026 (Journal of Medical Internet Research)

This comprehensive 2026 scoping review analyzes how smartphone-generated health data (PGHD) improves clinical decisions and provides precise longitudinal insights for psychiatry.

Read Study