Mediloop
WEARABLES & IOT CONNECTORS

Overview

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Connect consumer wearables, medical devices and IoT platforms to Mediloop. Collect, normalize and integrate real-world data into the patient record using open standards while preserving provenance, data quality and intended-use context.

FHIR R4 / R4BBLE / GATTIEEE 11073Apple HealthKitAndroid Health ConnectREST / WebhooksMQTTMSIS
Wearables & IoT Integration Architecture
1
Devices
Consumer wearables, medical wearables, home monitoring and IoT sensors
2
Connectivity
Mobile app, provider cloud, BLE, HealthKit / Health Connect or home gateway
3
Mediloop Connector
Onboarding, authentication, ingestion, validation and patient/device linking
4
MSIS – Semantic Layer
Normalize codes and units, preserve source data, quality and provenance
5
Mediloop Platform
Patient record, dashboards, alerts, remote monitoring and care workflows
From device to actionable insight — securely, interoperably and at scale.
Supported Platforms
Apple HealthKit

iOS on-device health-data framework; user-authorized reads/writes.

Android Health Connect

Android on-device health-data framework and normalized record types.

Garmin / Fitbit / Oura

Provider-cloud integrations for activity, sleep, heart rate and recovery data.

Dexcom / Abbott

Glucose and CGM integrations subject to provider programs and medical-device context.

Withings and connected home devices

Weight, blood pressure, sleep and connected health measurements.

Additional providers & custom devices

BLE/GATT, vendor APIs, gateways, MQTT and Connector SDK patterns.

Data Types
Vital Signs

Heart rate, blood pressure, SpO₂, respiratory rate and temperature.

Activity & Fitness

Steps, distance, calories, workouts and active minutes.

Sleep & Recovery

Sleep stages, duration, HRV, readiness and recovery indicators.

Glucose & Metabolic

Continuous glucose readings, trends, alerts and metabolic measurements.

Body Metrics

Weight, BMI, body composition and other longitudinal measurements.

Device & Environment

Device-specific signals, air quality, ambient data and sensor context.

FHIR Resources
FHIR resourcePurposeTypical wearable / IoT use
DeviceDevice identity, manufacturer, type and ownershipRegister and reference the source device
DeviceMetricMeasurement capability / metric metadataDescribe device-specific measurement capabilities
ObservationIndividual and time-series clinical/wellness measurementsHeart rate, glucose, BP, SpO₂, activity and other readings
ProvenanceSource and transformation traceabilityPreserve provider/device/source and normalization lineage
Patient / Encounter / CarePlanClinical contextLink measurements to patient, RPM program and care workflow
Developer Integration Surface
How to use these integration surfaces
Not every wearable integration is a REST endpoint. Choose the surface that matches the device/provider. External provider contracts remain governed by the provider's own program, scopes and terms; Mediloop-specific routes remain planned until their backend contracts are implemented.
SurfaceOperation / resourceUseStatus
FHIRDevice, DeviceMetric, Observation, ProvenanceStandards-based storage/query and EHR interoperabilityFHIR surface
BLE / GATTServices, characteristics, notificationsDirect/local device connectivityProtocol surface
HealthKit / Health ConnectNative on-device APIsMobile-platform health-data integrationExternal platform API
Provider cloud APIsOAuth/API/webhook per providerGarmin, Fitbit, Oura, Withings, CGM and other vendor integrationsExternal provider API
MQTT / HTTPS / WebhooksPublish/subscribe or event callbacksGateways, IoT sensors and real-time provider eventsProtocol/event surface
Mediloop Device API / SDKRegister device, ingest measurements, subscribe to eventsSimplified Mediloop-native developer surfacePlanned contract
Use Cases
Remote patient monitoring (RPM)
Chronic disease management — diabetes, hypertension, respiratory care
Preventive care and wellness programs
Post-discharge monitoring and CareFlow follow-up
Elderly care and independent living
Teleconsultation context and longitudinal trends
Clinical research / real-world evidence with appropriate consent and governance
Threshold and abnormal-measurement alerts
Key Benefits
Interoperability

Standards-based FHIR and open integration patterns.

Real-time insight

Continuous or periodic data can feed trends and alerts.

Semantic consistency

MSIS normalizes codes, units and provenance without discarding source values.

Governed by design

Consent, least privilege, audit and data minimization remain explicit.

Clinical integration

Connect measurements to patient records, dashboards and care workflows.

Open ecosystem

Add new providers and device categories without rebuilding the whole application.

Standards & Protocols
FHIR R4 / R4B — Device, DeviceMetric, Observation, Provenance
LOINC for observations
SNOMED CT where clinical concepts apply
UCUM for units
IEEE 11073 medical device communication
Bluetooth LE / GATT
OAuth 2.x / OpenID Connect for applicable cloud integrations
REST, HTTPS webhooks and MQTT
Apple HealthKit / Android Health Connect
Next Steps
Choose device path

Direct BLE, mobile platform, provider cloud, gateway or clinical/local network.

Define mapping

Identify measurements, terminology, units, provenance and clinical context.

Validate governance

Consent, scopes, privacy, medical-device context and retention.

Build & test

Use standards or the appropriate connector/SDK surface and representative device data.