Integration of hair loss tracking data with broader health platforms enables multi-variate lifestyle and density analysis that no single app can provide alone. myhairline.ai's REST API connects hair density data with Apple Health, Google Fit, and clinical EMR systems, creating a complete health picture for both patients and providers.
Why Hair Data Needs Health Context
Hair density does not change in isolation. Sleep quality, stress levels, nutritional intake, exercise patterns, and hormonal cycles all influence follicle health. When hair tracking data sits in a silo, you miss the correlations that explain why density improves some months and declines in others.
Connecting myhairline.ai to your broader health ecosystem adds the context that turns raw density numbers into actionable insight. A density dip that coincides with three weeks of poor sleep and elevated resting heart rate tells a different story than one that occurs during a stable period.
API Architecture Overview
The myhairline.ai API follows RESTful conventions with JSON payloads. Authentication uses OAuth 2.0, and all endpoints require HTTPS.
Core Endpoints
| Endpoint | Method | Description |
|---|---|---|
/api/v1/scans | GET | Retrieve scan history with density data |
/api/v1/scans/{id} | GET | Retrieve a specific scan with zone-by-zone density |
/api/v1/treatments | GET | Retrieve treatment log entries |
/api/v1/density/trend | GET | Retrieve density trend over a date range |
/api/v1/export/fhir | GET | Export data in FHIR-compatible format |
/api/v1/integrations/apple-health | POST | Push or pull Apple Health data |
/api/v1/integrations/google-fit | POST | Push or pull Google Fit data |
Data Format
Each scan record includes timestamp, overall density score, zone-by-zone density readings (frontal, temporal left, temporal right, mid-scalp, vertex, crown), Norwood stage classification, and comparison to baseline.
Treatment log entries include medication name, dosage, frequency, start date, and adherence percentage.
Apple Health Integration
Apple Health aggregates data from over 100 health apps. The myhairline.ai integration adds the missing hair density layer to that ecosystem.
What Data Flows Between Platforms
From myhairline.ai to Apple Health:
- Density readings (stored as custom health records)
- Scan dates and scan images (stored as clinical documents)
- Treatment adherence logs
- Norwood stage classification updates
From Apple Health to myhairline.ai:
- Sleep duration and sleep quality scores
- Resting heart rate and heart rate variability (HRV)
- Step count and exercise minutes
- Menstrual cycle data (for female pattern hair loss tracking)
- Body weight changes
Setup Process
- Open myhairline.ai on your iPhone.
- Navigate to Settings, then Integrations.
- Tap "Connect Apple Health."
- Grant read and write permissions for the data categories you want to share.
- Select sync frequency: real-time, daily, or manual.
Once connected, your density scans will appear in the Apple Health app under Clinical Records. Apple Health data will appear in your myhairline.ai dashboard as contextual overlays on your density trend graph.
Clinical Value
When you view your density trend with sleep and HRV data overlaid, patterns emerge. Many users discover that their density dips correlate with periods of poor sleep lasting two or more weeks. Others find that their density responds positively to increased physical activity.
These correlations are not proof of causation, but they provide hypotheses you can test by adjusting your lifestyle and tracking the outcome.
Google Fit Integration
For Android users, the Google Fit integration provides similar functionality.
What Data Flows Between Platforms
From myhairline.ai to Google Fit:
- Density readings as custom data points
- Scan history and treatment logs
From Google Fit to myhairline.ai:
- Activity minutes and step count
- Heart rate data from connected wearables
- Sleep data (if tracked via Google Fit compatible devices)
- Weight and body composition data
Setup Process
- Open myhairline.ai on your Android device.
- Navigate to Settings, then Integrations.
- Tap "Connect Google Fit."
- Sign in with your Google account and grant data permissions.
- Select sync frequency.
The integration uses Google's Health Connect API for standardized data exchange.
Clinical EMR Integration
For clinics and dermatology practices, myhairline.ai provides FHIR-compatible data export that integrates with existing electronic medical record systems.
The Documentation Problem
Hair restoration clinics spend significant time on patient documentation. Standardized photography, density measurement, treatment tracking, and progress comparison all require manual effort. When patients use myhairline.ai between visits, that data can flow directly into the clinic's EMR, saving time and improving record quality.
FHIR Data Export
The /api/v1/export/fhir endpoint produces data in HL7 FHIR R4 format, the healthcare interoperability standard used by most modern EMR systems. The export includes:
| FHIR Resource Type | Contents |
|---|---|
| Patient | Anonymized patient identifier |
| Observation | Density readings, zone-by-zone measurements |
| DiagnosticReport | Norwood stage classification, density analysis |
| DocumentReference | Scan images, density maps |
| MedicationStatement | Treatment log with adherence data |
| CarePlan | Treatment protocol and goals |
Integration for Clinic IT Teams
Clinic IT teams can use the FHIR export to map myhairline.ai data to existing EMR fields. The typical integration involves:
- Registering the clinic as an API partner.
- Obtaining OAuth 2.0 credentials for the clinic's EMR system.
- Configuring patient consent flows (patients must authorize data sharing with their clinic).
- Mapping FHIR resources to the EMR's internal data model.
- Setting up automated or on-demand data sync.
Most integrations can be completed within one to two weeks by a clinic IT team familiar with FHIR standards.
Benefits for Dermatologists
When patient density data is already in the EMR before an appointment, the dermatologist can review trends in advance. The appointment shifts from "let me take photos and measure" to "let me review your six-month trend and adjust your treatment plan."
This data-forward approach reduces appointment time for routine follow-ups, improves treatment decision quality, and creates a more complete medical record for continuity of care.
Wearable Device Data Correlations
The most valuable insights come from correlating density data with wearable health data over time. Here are the most commonly observed correlations.
Sleep and Density
Poor sleep quality sustained over multiple weeks correlates with density stagnation or decline in many users. The mechanism is well understood: sleep deprivation increases cortisol, and chronic cortisol elevation can push follicles into the telogen (resting) phase prematurely.
HRV and Density
Heart rate variability is a proxy for autonomic nervous system balance. Chronically low HRV (below 20ms) indicates sustained sympathetic activation, which is associated with elevated cortisol. Users who improve their HRV through stress management often see density stabilization within three to six months.
Exercise and Density
Moderate exercise (150 or more minutes per week) is associated with better density maintenance. The likely mechanism involves improved circulation, reduced cortisol, and better sleep quality. However, overtraining can have the opposite effect due to cortisol spikes.
Menstrual Cycle and Density
For women tracking female pattern hair loss, menstrual cycle data from Apple Health provides context for density fluctuations. Hormonal shifts throughout the cycle can cause temporary changes in hair shedding rate that appear alarming in isolation but are normal when viewed in cycle context.
Developer Documentation
For developers building health platforms or clinic tools that want to integrate with myhairline.ai, the full API documentation is available at api.myhairline.ai/docs.
Rate Limits
| Tier | Requests Per Minute | Requests Per Day |
|---|---|---|
| Free (personal use) | 10 | 100 |
| Clinic | 60 | 5,000 |
| Enterprise | 300 | 50,000 |
Webhooks
The API supports webhooks for real-time notifications. Clinics can subscribe to events such as "new scan completed" or "treatment adherence below threshold" to trigger follow-up workflows in their practice management system.
Data Privacy
All API data transfer is encrypted in transit (TLS 1.3) and at rest (AES-256). Patient data is never shared without explicit patient consent. The API complies with HIPAA (US), GDPR (EU), and PIPEDA (Canada) requirements.
Patients can revoke integration access at any time from their myhairline.ai settings. Revocation immediately stops data flow and triggers deletion of shared data from partner systems within 30 days.
Building Custom Dashboards
Some clinics and health-conscious users build custom dashboards that combine myhairline.ai data with other health metrics. The API's JSON format makes this straightforward with tools like Grafana, Google Sheets, or custom web dashboards.
A typical custom dashboard might display density trend, treatment adherence percentage, average sleep hours, HRV trend, and exercise minutes, all on a single timeline. This multi-dimensional view often reveals patterns that are invisible when each data stream is viewed separately.
The Future of Connected Hair Health
Isolated health apps are giving way to integrated health ecosystems. Hair density data belongs in that ecosystem alongside cardiovascular health, sleep quality, hormonal health, and nutritional data.
The myhairline.ai API makes that integration possible today. Whether you are a patient who wants to see the full picture on your iPhone, a developer building the next health platform, or a clinic IT team modernizing your practice, the API provides the connection point.
This article is for informational purposes only and does not constitute medical advice. Consult a qualified healthcare provider for personalized treatment decisions.
Ready to connect your hair health data with the rest of your health ecosystem? Start tracking at myhairline.ai/analyze and explore the integration options in your account settings.