Remote Patient Monitoring Development

Most RPM builds go live in 10-14 weeks. We front-load device SDK evaluation and API feasibility testing in Week 1 so there are no integration surprises mid-build, with pre-validated integrations across the common CGMs, blood pressure monitors, scales, and fitness aggregators. You see real device data in the care team dashboard by end of Week 3, not Month 3.

Our healthcare engineering team has shipped HIPAA-compliant platforms handling message parsing, FHIR resource creation, and wearable Bluetooth and cellular data transmission. Vital signs map to FHIR Observation resources using LOINC codes so readings land in the EHR's longitudinal record in a standard format, making your EHR integration a known-quantity deliverable, not a discovery task.

Alert thresholds, device mix, enrollment flows, and notification rules are configured to your clinical protocols, not defaulted to industry averages. The rule engine goes beyond high/low bounds to consecutive-reading patterns, rate-of-change detection, time-of-day context, and composite multi-parameter alerts, with escalation logic that matches your care team structure.

Every RPM system is HIPAA-compliant by architecture: vitals encrypted in transit and at rest, with a BAA signed before development starts. Every PHI access is audit-logged to tamper-resistant storage and retained for 6 years, role-based access control is enforced at the API layer, and an annual HIPAA Security Risk Assessment is provided as a project deliverable.

The patient app is designed for the populations most commonly monitored: elderly adults and chronic condition patients with limited smartphone familiarity. Large touch targets, adjustable text, and high contrast meet WCAG 2.1 AA with readings never more than 2 taps away, and Bluetooth or cellular devices transmit passively without opening the app, so a nurse can triage 50 patient panels in about 90 seconds.

The platform is architected for 10 enrolled patients on day one and 10,000 a year later without re-architecture. The device ingestion microservice auto-scales, an SQS FIFO queue deduplicates device retransmissions, readings persist to PostgreSQL with monthly time-series partitioning so recent-data queries stay fast, and clinic-level row-level security isolates every tenant's data.

Automated CPT billing compliance tracking is built into the care management workflow, not bolted on as a separate report. The platform counts qualifying transmission days per patient per calendar month against the 99454 threshold and tracks documented care management time against 99457/99458, so your revenue cycle team pulls a billing-period report instead of reviewing individual patient records. A program of 200-300 patients consistently qualifying for 99454 + 99457 generates $22,000-$45,000 per month in reimbursement at 2024 Medicare rates, which is what converts a clinical pilot into a financially sustainable program.

Week 1 is structured clinical discovery, not a kickoff meeting: an audit of your clinical and technical environment designed to eliminate integration surprises. We document your patient population, devices, clinically defined alert thresholds, and escalation tree, and an EHR API audit confirms what your systems actually expose before we commit to integration scope, all signed off before a line of code is written.

Weeks 2-4 produce interactive prototypes of the patient app and care team dashboard before development starts. Design in RPM is a clinical workflow problem: how a nurse triages 50 alerts at shift start decides whether the system cuts burden or adds to it. Review sessions run with the nurses and care managers who will use the system daily, using structured task scenarios rather than open-ended feedback.

HIPAA compliance is built into the data architecture from Sprint 1, not a checklist applied during QA. A BAA is signed before any PHI is handled and testing uses synthetic data, never production records, PostgreSQL row-level security enforces clinic isolation at the database layer, and independent penetration testing before launch is included in the project cost.

Two-week sprints with structured reviews attended by your clinical lead and care team, demonstrating working software against real test data. Real device readings arrive in the API by end of Sprint 1 and an alert fires from a test threshold by end of Sprint 2, with the patient app, EHR integration, and enrollment flows following in sequence across a 10-14 week plan.

The scope document produced at the end of Week 2 discovery defines exactly what is built, what it costs, and when it ships, and that document is the contract. It covers the feature list, confirmed device and EHR integration scope, every alert rule, and a sprint-by-sprint plan with acceptance criteria, with mid-build additions scoped as separate priced increments, never absorbed silently.

The platform is architected for growth from the first sprint: the infrastructure that supports 50 patients at launch supports 5,000 without a database migration. Ingestion auto-scales on queue depth, so CGMs transmitting every 5 minutes never drop readings. Monthly table partitioning keeps queries fast as history grows. The EHR layer uses an adapter pattern, so switching EHR is a one-adapter change and adding a clinic is configuration, not a deployment.