Device integration
BLE, cellular, and API integrations across wearables and medical devices.
Remote Patient Monitoring
RPM software that turns device streams into clinical action
We build RPM platforms that connect wearables, medical devices, and sensors to clinical workflows — alert logic, FHIR write-back, and CPT-eligible documentation out of the box.
FHIR Write-backCPT 99453–99458 ReadyML Anomaly AlertsWearable-agnostic
Trusted by global innovators
RPM that clinicians actually use
Turning raw device data into prioritised clinical action is the entire job. Our RPM stack is tuned for signal over noise.
90%
Alert-noise reduction with ML triage
5+
Device families integrated per platform
100%
FHIR Observation write-back
What it is
Track patient vitals outside the hospital, safely
Remote patient monitoring lets providers observe patient vitals and behaviour between in-person visits using wearables, medical devices, and patient-reported inputs. Done well, it extends clinical eyes into chronic care, post-acute care, and elderly care.
Done poorly, it floods clinicians with noise. We focus on signal: intelligent alerting, FHIR-native EHR write-back, and clinical documentation that actually supports CPT billing codes 99453–99458.
Core capabilities
What we build
The RPM capability stack — from device ingestion through clinical action and billing.
Real-time tracking
Streaming vitals with sub-minute latency for time-sensitive care categories.
Alert logic
Threshold-based rules plus ML anomaly detection with clinician-tunable sensitivity.
Risk-scored dashboards
Multi-patient view with risk scoring, prioritisation, and drill-down per patient.
Patient logs & reminders
Patient-reported outcomes, medication adherence, and contextual reminders.
FHIR-based EHR sync
FHIR R4 Observations, DeviceUseStatements, and DiagnosticReports written back to the EHR of record.
CPT billing support
Documentation and time-tracking for CPT codes 99453, 99454, 99457, and 99458.
Caregiver interfaces
Family and caregiver visibility with consent-aware data sharing and escalation paths.
Predictive alerts
Forward-looking models for decompensation, fall risk, and adherence drop-off.
Device coverage
Wearables and medical devices we integrate
We work across consumer wearables and FDA-cleared medical devices — picking per build based on clinical category, reimbursement posture, and patient population.
Consumer wearables
- Apple Watch
- Fitbit
- Oura Ring
- Garmin
- WHOOP
Cardiac & continuous glucose
- Dexcom
- Abbott Libre
- AliveCor KardiaMobile
- Apple ECG
Vitals cuffs & scales
- ForaCare BP
- Omron BP
- Withings scales
- iHealth BP
Respiratory & pulse ox
- Masimo
- Nonin
- Pulse oximeters (consumer)
Medication & adherence
- Smart pill bottles
- Inhaler sensors
- Pillboxes with telemetry
Custom BLE devices
- OEM sensors
- Partner hardware
- Custom firmware integrations
Alert logic decision
Rules-based vs ML anomaly detection
Choosing the right alert logic is critical — too strict and clinicians miss real events, too loose and they get alert fatigue.
| Dimension | Rules-based thresholds | ML anomaly detection |
|---|---|---|
| How it works | Fires when a vital crosses a predefined threshold | Learns each patient's baseline and fires on deviation |
| Setup time | Fast — clinician-configured thresholds | Requires training window per patient (1–2 weeks) |
| Explainability | Fully explainable to clinician | Requires attribution and confidence surfacing |
| Noise profile | High noise for heterogeneous populations | Lower noise when properly calibrated |
| Best for | Acute thresholds, hard clinical limits | Chronic management, longitudinal baselines |
| Our default | Hybrid — hard thresholds PLUS ML anomaly as a second signal | Not either/or; they work together |
Most production RPM platforms should use hybrid alert logic — hard thresholds for acute safety, ML anomaly for longitudinal drift.
Clinical categories
Where RPM actually works
Diabetes
CGM streams, insulin adherence, and longitudinal glucose variability tracking.
Cardiac care
BP, arrhythmia detection, and post-MI monitoring with cardiology integration.
COPD & respiratory
SpO₂, spirometry, and exacerbation risk modelling.
Elderly care
Fall detection, activity levels, and medication adherence for at-home seniors.
Post-acute monitoring
Post-discharge vitals tracking to prevent readmission in the 30-day window.
Maternal health
Prenatal and postpartum monitoring with blood pressure, weight, and symptom tracking.
How we ship
Our RPM delivery process
RPM builds always need to ship through device integration, clinical workflow, and billing simultaneously — we run them as parallel tracks.
Step 01
Clinical workflow discovery
Who reviews alerts, how often, and where in the day?
Step 02
Device strategy
Pick the device mix per population — reimbursement and adherence drive the choice.
Step 03
Alert logic design
Hybrid rules + ML anomaly, tuned with clinical leadership.
Step 04
Dashboard & patient app
Multi-patient clinician view and patient-facing logging app.
Step 05
EHR write-back & billing
FHIR R4 integration and CPT 99453–99458 documentation flow.
Step 06
Launch & calibration
Phased rollout with alert calibration over the first 4–6 weeks.
Standards we build against
RPM standards in our SDLC
HIPAAFHIRHL7FDA (SaMD)HITRUST
Engineered for Healthcare Compliance, Backed by Global Standards
Every Agnotic healthcare build is architected for privacy, interoperability, and regulatory readiness from the first commit — not retrofitted before launch.
Health Insurance Portability and Accountability Act
Protect PHI with privacy-first architecture, encrypted storage and transmission, strict access controls, and traceable audit logs.
General Data Protection Regulation
Implement lawful consent flows, data minimization, retention controls, and secure processing for sensitive reproductive and health data.
Fast Healthcare Interoperability Resources
Enable standardized health data exchange across apps, care teams, and systems through robust FHIR-ready APIs and mappings.
Health Level Seven International
Support enterprise-grade interoperability with HL7-based integrations for records, events, and clinical messaging workflows.
Health Information Trust Alliance
Align security programs to healthcare-specific controls and risk management practices trusted by providers and partners.
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.
Food and Drug Administration Software as a Medical Device
Plan software quality, traceability, and documentation pathways for products that may require SaMD review and regulatory submission.
Medical Device Regulation (European Union)
Prepare EU market-ready processes for risk classification, evidence tracking, and lifecycle governance under MDR expectations.
Substance Abuse and Mental Health Services Administration (42 CFR Part 2)
Apply confidentiality controls and consent-aware sharing models for behavioral and mental health related data experiences.
We Are Technology-Agnostic
With a diverse technology stack, we deliver solutions using a technology-Agnostic approach to meet your unique needs.
Wireframe & Ideation
User Experience
Real-Time Projects
Voices of Success
We don't just build products; we forge lasting partnerships. See how we've helped industry leaders transform their vision into technical reality.
"I can clearly see how Agnotic has a unique way of handling end-to-end development. They are always active on quick chat and provide support quickly."
Aaron Phelan
Founder, Benchmark
"Agnotic is the best technical team we evaluated. Their engineering excellence made our work dramatically easier and allowed us to stay focused on what matters most for maternal care outcomes. They took full ownership of the technical execution, and we are always happy to continue working together."
Kim Smith
Founder, My Lauren
"Agnotic combines deep technical expertise with strong domain knowledge. They understand the business context, anticipate challenges, and make collaboration smooth and effective."
John Pasmore
Founder, Latimer
Related Solutions
Frequently Asked Questions
We integrate across consumer wearables (Apple Watch, Fitbit, Oura, Garmin), continuous glucose monitors (Dexcom, Abbott Libre), BP cuffs (ForaCare, Omron, Withings), pulse oximeters, and custom BLE devices. We pick per build based on clinical category, reimbursement, and patient population.
Request an RPM demo
Tell us your clinical category, device strategy, and EHR of record. We'll return a scoped delivery plan with alert logic options.