Remote patient monitoring
Clinical vitals from BLE cuffs and oximeters feeding RPM programs.
Wearable & Device Integration
Wearable and device integration for healthcare apps that clinicians trust
We connect your platform to Apple HealthKit, Android Health Connect, Bluetooth Low Energy (BLE) devices, and aggregators like Validic — with HIPAA-ready pipelines and FHIR-native data modeling, not brittle one-off SDK glue.
HIPAA-ReadyFHIR R4HealthKitHealth Connect
Trusted by global innovators
What device integration actually involves
Connecting a wearable is rarely one API. Consumer data arrives through Apple HealthKit and Android Health Connect, clinical-grade devices stream over Bluetooth Low Energy (BLE) using GATT profiles, and multi-vendor coverage often means an aggregator such as Validic or Terra. Each source has its own units, sampling cadence, consent model, and gaps.
The hard part is turning that heterogeneity into a clean, clinically usable stream. We normalize units, de-duplicate overlapping samples, handle backfill and sync gaps, and model everything as FHIR R4 Observation resources so downstream care, analytics, and RPM/RTM billing work against one canonical record instead of a dozen vendor formats.
What it is
One data layer for every device your patients wear
Wearable and device integration connects consumer wearables, clinical BLE devices, and multi-vendor aggregators to your platform, then normalizes their output into a single clinical stream. Done well, it gives care teams a trustworthy, real-time view without exposing them to a dozen vendor quirks.
We decide per source whether direct integration (HealthKit, Health Connect, BLE/GATT) or an aggregator (Validic, Terra) is the right trade-off, then model everything to FHIR R4 so the data is portable across care, analytics, and billing.
Device integration architecture
See how HealthKit, Health Connect, BLE, and Validic feeds converge into a normalized, consent-aware FHIR data layer.
What we integrate
Consumer platforms, clinical BLE devices, and aggregators — normalized into one canonical, consented data layer.
Apple HealthKit
Background delivery, anchored queries, and workout/vitals sampling from Apple Watch and iPhone, with explicit per-type read permissions and correct unit handling for heart rate, HRV, SpO2, and activity.
Android Health Connect
Unified reads across Fitbit, Samsung Health, and Google Fit through Health Connect's permission model, replacing the deprecated Google Fit APIs with change tokens for incremental sync.
Bluetooth Low Energy (BLE) devices
Direct BLE/GATT connectivity for blood pressure cuffs, pulse oximeters, weight scales, and glucometers using standard health profiles, plus vendor-specific characteristics where needed.
Validic & aggregator coverage
Validic and Terra integrations for hundreds of consumer and clinical devices through one API, cutting the per-device maintenance burden when broad coverage matters more than direct control.
Consent-aware FHIR pipeline
Every reading normalized to FHIR R4 Observation with unit conversion, de-duplication, and a consent record — so PHI is captured, scoped, and auditable from the device to the chart.
Where it runs
Device integration use cases
Chronic disease management
Continuous activity and vitals for diabetes, hypertension, and cardiac care.
Corporate wellness
Consumer wearable data for engagement and incentive programs.
Clinical trials
Objective digital biomarkers captured via Validic across cohorts.
Fitness & recovery apps
HealthKit and Health Connect activity data for coaching experiences.
Post-discharge monitoring
Home-based vitals tracking to catch deterioration early.
Built for real-world device behavior
The demo always works. We engineer for the sync gaps, duplicate samples, and unit mismatches that break production wearable pipelines.
3 paths
Direct API, BLE, or aggregator per source
FHIR R4
Canonical Observation model for every reading
iOS + Android
HealthKit and Health Connect parity
Compliance-First Healthcare App Development Services Backed by Global Standards
15-Minute Scoping Call01
HIPAA
Health Insurance Portability and Accountability Act
Protect PHI with privacy-first architecture, encrypted storage and transmission, strict access controls, and traceable audit logs.
02
GDPR
General Data Protection Regulation
Implement lawful consent flows, data minimization, retention controls, and secure processing for sensitive health data.
03
FHIR
Fast Healthcare Interoperability Resources
Enable standardized health data exchange across apps, care teams, and systems through robust FHIR-ready APIs.
04
HL7
Health Level Seven International
Support enterprise-grade interoperability with HL7-based integrations for records, events, and clinical messaging workflows.
05
HITRUST
Health Information Trust Alliance
Align security programs to healthcare-specific control and risk management practices trusted by providers and ecosystem partners.
06
HITECH
Health Information Technology for Economic and Clinical Health Act
Design with breach notification readiness, digital record safeguards, and operational controls that support regulated care programs.
07
SaMD
FDA Software as a Medical Device
Plan software quality, traceability, and documentation pathways for products that may require SaMD review and submission.
08
MDR (EU)
Medical Device Regulation (European Union)
Prepare EU market-ready processes for risk classification, evidence tracking, and lifecycle governance under MDR expectations.
09
SAMHSA
Substance Abuse and Mental Health Services Administration
Apply confidentiality controls and consent-aware sharing models for behavioral and mental health data experiences.
Standards we build against
Device integration standards
FHIRBLELOINCHIPAAIEEE 11073
Our Process
How we ship a device integration
We treat data quality and consent as first-class from day one, so the stream is clinically trustworthy, not just present.
1.
Source & data-model discovery
We inventory target devices and platforms — HealthKit, Health Connect, BLE, Validic — map their data types and units, and define the canonical FHIR Observation model.
Canonical model
2.
Connectivity & permissions
Platform permission flows, BLE pairing and GATT handling, and aggregator onboarding, with consent capture wired into each source.
Consent captured
3.
Normalization & sync
Unit conversion, de-duplication, gap and backfill handling, and incremental sync tokens so the data layer stays clean under real-world device behavior.
Clean data
4.
Delivery & monitoring
FHIR write-back, downstream event hooks for care and billing, and observability on sync health and device drop-off.
Observable
Featured case study
Read Case StudyLera Health: compliant women's health platform
Related proof of compliant delivery: Lera Health turns biomarker data into personalized, compliant care. We built the privacy-first data layer and patient experience — the same consent and PHI discipline that safe wearable ingestion demands.
Why Partner With Us
15-Minute Scoping CallWhy teams integrate devices with Agnotic
We build data pipelines that stay clean and compliant after the demo, when real devices misbehave.
Consent & PHI by default
Per-source consent, scoped permissions, and audit logging built into the pipeline — not bolted on before launch.
Fewer brittle SDK integrations
We choose direct APIs, BLE, or an aggregator like Validic deliberately, balancing control against long-term maintenance.
Clinical data quality focus
Unit normalization, de-duplication, and gap handling so clinicians trust the numbers they act on.
FHIR-native, portable data
Everything lands as FHIR R4 Observation, so your device data flows into the EHR, analytics, and RPM/RTM billing.
Make wearable data clinically usable
One clean, consented stream from many devices
Frequently Asked Questions
A single-platform integration (HealthKit or Health Connect) with normalization typically starts in the low five figures. Multi-source builds spanning BLE devices and a Validic aggregator run higher. Cost is driven by the number of sources and the depth of normalization, not the app itself.
Ready to make device data clinically usable?
Tell us your device list and target platforms. We'll return an integration plan with the right mix of direct, BLE, and aggregator connections and a FHIR data model.
contact@agnotic.com
Partnerships
contact@agnotic.com