Diabetes
CGM streams, insulin adherence, and longitudinal glucose variability tracking.
Remote Patient Monitoring (RPM) Software
RPM software that turns device streams into clinical action
We build RPM platforms that connect wearables, medical devices, and sensors to clinical workflows — device integration, FHIR write-back, hybrid alerting, and CPT 99453–99458 documentation, with the SaMD regulatory path scoped from day one.
FHIR Write-backCPT 99453–99458 ReadyML Anomaly AlertsWearable-agnostic
Trusted by global innovators
What RPM software development actually involves
Remote patient monitoring lets providers observe vitals and behavior between visits using wearables, medical devices, and patient-reported inputs — extending clinical oversight into chronic, post-acute, and elderly care. Done well, it turns raw device streams into prioritized clinical action and CPT-eligible revenue.
Off-the-shelf RPM tools tend to flood clinicians with undifferentiated alerts, lock you to one device vendor, and leave billing and EHR write-back as an exercise for the buyer. We build the full stack — device integration, FHIR write-back, hybrid alerting, and CPT 99453–99458 documentation — with the SaMD regulatory path scoped up front.
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.
Architecture
A layered RPM architecture that separates device ingestion, the alerting and analytics engine, and the FHIR write-back and billing layer — so each scales independently as your device mix and patient volume grow.
What We Build Into Your RPM Platform
Every capability pairs a clinical outcome with the device standard, code, or control that makes it real in production.
Device Integration
BLE, cellular, and API integrations across consumer wearables (Apple Watch, Fitbit, Dexcom) and FDA-cleared medical devices, normalized into a single FHIR-native ingestion layer instead of one-off per-vendor adapters.
FHIR EHR Write-Back
FHIR R4 Observations, DeviceUseStatements, and DiagnosticReports written back to the EHR of record, so RPM data lands in the clinician's existing chart rather than a separate portal.
CPT-Ready Billing
Documentation and time-tracking built for CPT 99453 (device setup), 99454 (device supply), 99457 (first 20 minutes of clinical time), and 99458 (each additional 20 minutes) — the billing workflow lives inside the clinician console.
Intelligent Alerting
Hybrid alert logic — hard clinical thresholds plus ML anomaly detection tuned to each patient's baseline — with clinician-tunable sensitivity and alert triage to prevent fatigue.
Risk-Scored Dashboards & Patient Apps
Multi-patient clinician view with risk scoring and drill-down, plus patient-facing apps for vitals logging, medication adherence, and contextual reminders.
FDA / SaMD Pathway
For analytics that drive clinical decisions, we classify the software early against the IMDRF / FDA Software as a Medical Device (SaMD) framework and engineer to the correct regulatory path from the start.
Clinical categories
Where RPM actually works
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.
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
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
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
RPM standards in our SDLC
HIPAAFHIRHL7FDA (SaMD)HITRUST
Our Process
How we ship an RPM platform
A phased delivery that runs device integration, clinical workflow, and CPT billing as parallel tracks — so the platform reaches production on a predictable timeline.
1.
Clinical Workflow & Device Discovery
We map who reviews alerts and when, choose the device mix per population (reimbursement and adherence drive the choice), and design the ingestion and access model before any code is written.
Signal over noise
2.
Alert Logic & Core Build
Hybrid rules-plus-ML alerting tuned with clinical leadership, the multi-patient dashboard, and the patient-facing logging app — built on a HIPAA-ready core with audit logging.
Clinician-tunable
3.
EHR Write-Back & Billing
FHIR R4 Observation and DeviceUseStatement write-back and the CPT 99453–99458 documentation flow, validated against synthetic and partner-assisted test data.
CPT-ready
4.
Launch & Calibration
Phased rollout with alert calibration over the first 4–6 weeks, monitoring, and support as your device families and patient cohort grow.
Predictable go-live
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.
Featured case study
Read Case StudyLera Health: compliant women's health platform
Related proof of compliant delivery: for Lera Health we built a privacy-first data layer and testing-to-insights workflow end to end. It is not an RPM product, but it demonstrates how we structure device and biomarker data, PHI, and consent the same way a compliant monitoring build demands.
Why Partner With Us
15-Minute Scoping CallWho we build RPM for
From chronic-care clinics to at-home and post-acute programs — we bring the device fluency and billing discipline to make RPM clinically useful and financially sustainable.
Compliance-First by Default
HIPAA controls, SaMD classification, and CPT-ready documentation designed into the architecture from sprint one — never bolted on before launch.
Device & Clinical Fluency
We integrate across cardiac, CGM, respiratory, and adherence devices, so your team won't spend the engagement teaching us how each data stream behaves.
Faster Go-To-Market
Milestone-driven delivery — a working device-to-dashboard flow in weeks, with billing and EHR write-back following on a predictable schedule.
Dedicated Product Teams
Design, engineering, QA, and compliance under one point of accountability — a team fluent in FHIR, device integration, and RPM reimbursement.
Our relevant experience
Device-to-clinic RPM, delivered to production
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.
contact@agnotic.com
Partnerships
contact@agnotic.com