Clinical Reporting & Data Export

Reliable, objective data is the cornerstone of evidence-based practice. Rohy AI's reporting suite provides clinicians with high-fidelity longitudinal insights that were previously unavailable between-sessions.

1. What Data Can Be Exported?

Providers with enterprise or clinical access can securely export the following data for their connected patients:

  • Assessment History: All PHQ-9 and GAD-7 results with date-stamped scores and item-level data.
  • Sentiment Trajectories: Standardized weekly and monthly mood averages based on linguistic sentiment analysis.
  • Linguistic Themes: Frequency of key clinical markers (e.g., social withdrawal, ruminative thinking, positive affect).
  • Physical Integration: Correlated sleep and activity data (if patient-linked via Apple Health or Google Fit).

2. Interpreting the AI Mental Health Snapshot

Rohy AI's "Snapshot" uses natural language processing (NLP) to detect signals across our 19 validated psychological models.

How to use this in a session:

  1. Identify the "Trend Line": Is the patient's self-reported mood improving while their linguistic markers (e.g., increased cognitive complexity) are declining?
  2. Review Peak Moments: Click on specific dates where sentiment dipped or peaked significantly. Ask: "What was happening on Tuesday that led to this entry?"
  3. Compare Models: Examine the relationship between trait-level traits (like High Neuroticism) and state-level assessments (like current PHQ-9).

3. Security and HIPAA Compliance

Data at Rest and in Transit

For clinicians and hospitals, Rohy AI offers end-to-end encryption for all patient data. Access is controlled via robust role-based authentication (RBAC) and audit logging.

Generating PDF Reports

Clinicians can generate a one-page "Clinical Summary PDF" for inclusion in an EHR (Electronic Health Record) system or for insurance justification. This report includes:

  • Summary score graphs
  • Key detected themes
  • Provider-notated clinical milestones

4. Exporting via API (Enterprise Only)

For large health systems, we provide a REST API for programmatic export of de-identified or identified (with BAA) data directly into hospital EHR systems (e.g., Epic, Cerner).

Sources

  1. Simon GE, et al. Ability of the Patient Health Questionnaire-9 to predict subsequent depression diagnosis. JAMA. 2013.
  2. Naslund CH, et al. Digital technologies for monitoring and improving psychiatric outcomes. World Psychiatry. 2017.
  3. Chan S, et al. Mobile health app for depression and anxiety: a review and analysis of the evidence. JMIR Mental Health. 2016.

Related: Patient Onboarding Toolkit · Clinical Implementation Guide · Psychometric Analysis of 19 Models