Remote Patient Monitoring Software Development

Remote patient monitoring (RPM) software collects patient health data, such as vitals, glucose levels, heart rhythms, weight, and more, from connected devices and wearables outside a clinical setting. That data is transmitted securely to a cloud platform where it's stored, analyzed, and surfaced to care teams through a real-time dashboard. Clinicians can set alert thresholds, review trends, and intervene when readings indicate a potential problem without the patient needing to visit a clinic. Custom RPM software integrates this monitoring layer with EHR systems, billing platforms, and telehealth tools to create a connected, end-to-end care experience.

RPM software handling US patient data must comply with HIPAA, which governs the storage, transmission, and access of protected health information (PHI). This typically requires end-to-end encryption, audit logging, role-based access controls, and a Business Associate Agreement (BAA) with your technology vendor. For European patients, GDPR applies. If your RPM solution incorporates algorithms that influence clinical decisions, FDA SaMD (Software as a Medical Device) guidelines may also apply. Binariks builds to HIPAA, HITECH, GDPR, HL7 FHIR, and FDA standards, and holds ISO 9001:2015 and ISO/IEC 27001:2013 certifications.

Yes. EHR integration is a core capability in every RPM platform we build. We use HL7 FHIR R4 standards to enable bidirectional data exchange with major EHR systems including Epic, Cerner, Athenahealth, and others. Patient monitoring data flows directly into the clinical record, and demographic or prescription updates in the EHR are reflected in the RPM platform . This eliminates double-entry and keeps both systems in sync.

The primary CMS CPT codes for RPM are:

• 99453 — initial device setup and patient education on use (~$25 average reimbursement)

• 99454 — device supply and daily data transmission, billed per 30-day period (~$80)

• 99457 — first 20 minutes of RPM treatment management per month, requires live interactive communication with the patient

• 99458 — each additional 20 minutes per month (~$60)

• 98975 — initial setup for remote therapeutic monitoring (RTM) and patient education

• 98976 — 30-day device supply for respiratory system monitoring under RTM

We build billing support modules that automatically track qualifying patient interactions, log monitoring minutes, and generate the documentation needed to support reimbursement submissions. They cover both RPM and RTM billing pathways.

RPM software can support monitoring across a wide range of chronic conditions — hypertension, diabetes, COPD, cardiac disease, congestive heart failure, obesity management, and mental health, among others. Device support depends on the build, but typically includes FDA-approved medical devices (blood pressure cuffs, continuous glucose monitors, pulse oximeters, ECG patches, connected scales) and consumer wearables (Apple Watch, Fitbit, Samsung Galaxy Watch). We scope device integrations based on your patient population and clinical priorities.

AI and machine learning add predictive capability to RPM systems that rule-based alerting alone can't provide. ML models trained on patient data can identify early deterioration patterns , such as a gradual blood pressure trend, subtle changes in heart rate variability, or declining SpO2 levels before they trigger threshold alerts. This supports earlier clinical intervention, more personalized care protocols, and reduced emergency readmissions. We build AI analytics layers using TensorFlow and Python-based data science tooling, integrated directly into the RPM dashboard.

Development timelines depend on scope: a focused RPM solution with core monitoring, alerting, and EHR integration typically requires 4–6 months from discovery to launch. More complex platforms with AI analytics, multi-device ecosystems, and billing modules may take 8–12 months. Cost ranges from approximately $100,000 for an MVP build to $300,000+ for a full-featured enterprise platform. Binariks provides real-time cost estimates based on your specific requirements during the discovery phase.