Data Tracking and Sharing
Pull Strava activity data distance, heart rate, pace, power into a HIPAA-compliant FHIR pipeline. Share structured data securely with authorized providers to support care coordination.
Strava captures running pace, cycling distance, heart rate zones, power output, and elevation data that can directly support cardiovascular wellness, chronic-care, and rehabilitation programs. The gap is getting this data into your EHR or RPM platform securely, in a FHIR-ready format clinicians can actually use.

ConnectHealth easily integrates with the Strava API, allowing you to effortlessly import your data into a secure, centralized location.
Eliminate the need to manually transfer data between different platforms, saving time and ensuring data accuracy.

The ConnectHealth admin dashboard provides a centralized location for managing all your Strava API data. Here’s a glimpse into the effortless experience:
Pull Strava activity data distance, heart rate, pace, power into a HIPAA-compliant FHIR pipeline. Share structured data securely with authorized providers to support care coordination.
Map Strava goals to clinical care plans and track progress alongside other health metrics. Gives care teams and patients a unified view of fitness and health data in one place.
ConnectHealth can integrate sleep data from other wearables alongside Strava activity data to build a fuller picture of patient health and recovery patterns.
ConnectHealth paired with Strava API enables remote patient monitoring. Care teams access activity data remotely, supporting timely interventions and continuous care coordination without in-person visits.
Strava API offers multiple endpoints with granular filtering. ConnectHealth abstracts this complexity pre-built connectors handle endpoint selection, rate limiting (100 req/15 min, 1,000/day per user), and documentation so your team doesn't start from scratch.

ConnectHealth runs in your own cloud environment with encryption in transit and at rest, role-based access control, and regular security audits keeping PHI off third-party servers.

ConnectHealth handles Strava's OAuth 2.0 consent flow and manages token refresh automatically, ensuring data sharing is always authorized, auditable, and compliant with privacy regulations.

Clinicians get structured Strava activity data mapped to clinical records, supporting informed decisions on treatment plans and preventative care without manual data handling.

Patients share Strava data directly with their care team, creating an active participation loop that improves adherence and program outcomes.
Care teams get a unified view Strava activity alongside traditional clinical records enabling better-coordinated, evidence-backed care programs.
Track activity levels for patients with diabetes or heart disease alongside clinical data to support medication adherence, program compliance, and long-term health outcomes.

Monitor recovery progress after surgery using Strava activity data to measure movement levels, flag deviations, and ensure proper healing milestones are being met.
Access Strava data remotely to identify early injury signals, track training load, and adjust programs before issues escalate without requiring clinic visits.
ConnectHealth handles Strava API, OAuth, FHIR mapping, and HIPAA pipeline so your team ships faster.
We don’t just deliver solutions we build partnerships that drive transformation. With a proven track record in healthcare technology, we understand the industry’s unique challenges and offer customized solutions to help you achieve breakthroughs.

We go beyond core healthcare solutions by offering a comprehensive suite of technology-driven services that enhance scalability, efficiency, security, and user experience.

From concept to deployment, we design and develop high-performance digital health products tailored to industry needs. Our approach focuses on scalability, security, and compliance, ensuring seamless functionality and a strong foundation for growth.

We provide custom AI/ML development services to help healthcare organizations automate workflows, enhance clinical decision-making, and extract actionable insights from data. Our expertise includes predictive analytics, NLP for medical records, and AI-powered automation tailored to your needs.

We help businesses migrate, build, and optimize healthcare applications on cloud platforms while ensuring compliance and security. Our cloud services include architecture design, DevOps automation, and scalable infrastructure management for seamless performance.

We enable secure and efficient integrations across EHRs, medical devices, third-party APIs, and digital health platforms. Our team ensures data interoperability using FHIR, HL7, and custom API development, reducing silos and improving workflow efficiency.

We offer data engineering, analytics, and reporting services to help healthcare organizations harness their data effectively. Our team develops real-time dashboards, predictive models, and automated reporting to support better decision-making.

We help businesses meet HIPAA, GDPR, and other regulatory requirements by integrating security best practices into development. Our services include risk assessments, DevSecOps implementation, and data protection strategies for secure digital health solutions.

We help organizations design, develop, and integrate telemedicine platforms with features like video consultations, remote patient monitoring, and secure data exchange. Our services ensure seamless connectivity while maintaining compliance with healthcare regulations.

We provide end-to-end mHealth app development services, designing secure, user-friendly, and HIPAA-compliant mobile solutions for healthcare providers, patients, and caregivers. Our services include custom app design, wearable integrations, remote monitoring, and telehealth features to enhance patient engagement and care accessibility.

We develop custom Clinical Decision Support Systems (CDSS) that provide real-time insights, AI-driven recommendations, and predictive analytics to improve patient outcomes. Our solutions integrate seamlessly with EHRs and existing healthcare systems, reducing cognitive load and enhancing clinical decision-making.
From leading hospitals to digital-health companies, Mindbowser powers real-world healthcare transformation.
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HIPAA-ready builds with controlled PHI access, secure environments, and disciplined engineering practices. Designed to reduce vendor risk and speed up onboarding.

Independent audit of security controls operating over time.

PHI safeguards built into access, environments, and release workflows.

Data handling built for modern privacy expectations.
Role-based access with controlled PHI exposure.
Code reviews, dependency checks, and security gates.
Secure integrations designed for traceability and reliability.
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Read MoreStrava healthcare integration connects Strava's activity data distance, heart rate, pace, power, and elevation to EHR systems and clinical workflows via FHIR. ConnectHealth pre-maps each Strava metric to the correct FHIR Observation resource, so clinical teams get structured, queryable activity data without custom middleware.
Distance, heart rate zones, pace, power output, elevation gain, activity type, and segment efforts. ConnectHealth normalizes these across granularity levels (summary vs. stream-level data) and maps them to FHIR Observation and DiagnosticReport resources for EHR consumption.
ConnectHealth manages Strava's OAuth 2.0 token lifecycle including access token refresh before expiry and implements caching and batched API calls to stay within Strava's rate limits (100 requests/15 min, 1,000/day per user). No engineering overhead on your side.
Yes. ConnectHealth runs in your own cloud environment. Activity data pulled from Strava is encrypted in transit and at rest, role-based access control is applied, and PHI never touches Strava's servers. Regular security audits are part of the delivery.
Chronic disease management (diabetes, heart disease), post-operative rehabilitation monitoring, cardiac wellness programs, remote monitoring for athletes, and weight-management programs that use activity adherence as a program metric.
Typical timelines with ConnectHealth's pre-built connector: 4–6 weeks for standard EHR + Strava integration including OAuth setup, FHIR mapping, and dashboard configuration. Complex multi-EHR setups add 2–4 weeks.
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