1. Health Systems and Hospital Networks
Health systems launching or scaling remote patient monitoring programs need software that reduces readmissions and manages chronic conditions. They also need to capture reimbursement under CPT codes 99453-99458 and 98975.
We build RPM platforms that integrate with your existing EHR systems and clinical workflows. Care teams can monitor patients without changing how they already work.
2. Digital Health Startups
Startups need to move from idea to MVP without costly rework. We bake compliance rules (HIPAA, GDPR, SaMD) into the architecture from day one. You get a market-ready remote patient monitoring platform that meets regulatory needs before your first user signs up.
3. Medical Device and Medtech Companies
Device companies need software that turns hardware into a full product ecosystem. We develop companion mobile apps, cloud platforms, and clinical portals for your devices. You focus on building and getting devices approved. We handle the software side.
4. Payers and Health Plans
Health plans need better population health insights and stronger member engagement. We build platforms that use remote monitoring data to stratify risk levels, identify care gaps, and track outcomes across patient populations.
An RPM mobile app allows patients to log vital signs (blood pressure, glucose, SpO2, weight), track symptoms, receive medication reminders, and communicate with their care team through secure messaging. Most RPM apps are built for iOS and Android using cross-platform frameworks. They include offline data sync for areas with weak connectivity.
We build these apps with accessibility in mind and test them with real patients and clinicians. The goal is sustained patient engagement, not just downloads
A clinical dashboard aggregates patient data from many devices into a single view. Care teams can check patients in real time. Key features include configurable alert thresholds, trend visualization, population-level risk scores, and task-based workflows. These help providers decide which patients need attention first.
We design these dashboards for clinical efficiency: fewer clicks, clear data hierarchy, and role-based views for nurses, physicians, and care coordinators.
RPM platforms connect to a range of medical devices:
Common integration methods include Bluetooth Low Energy (BLE), cloud-to-cloud APIs, Apple HealthKit, and Google Health Connect. The goal is continuous, accurate data collection without requiring patients to enter data manually.
We handle the real-world challenges of device integration: connectivity drops, data format issues, device firmware variability, and multi-vendor support.
An RPM data pipeline ingests, cleans, normalizes, and processes health data from multiple sources in real time. These pipelines are built to FHIR standards and power downstream analytics.
This ranges from individual patient risk alerts to population-level health trends. A well-built data pipeline is what separates an RPM tool from a clinically useful RPM platform.
RPM platforms must exchange data with electronic health record systems to be clinically useful. We integrate with major EHR systems, including Epic, Cerner, and athenahealth, using HL7 FHIR and HL7 v2 standards.
Patient data flows into existing clinical workflows. Providers see RPM data inside the systems they already use, not in a separate portal.
RPM platforms often include video consultations, secure messaging, and asynchronous communication tools. We build these modules to be fully compliant (HIPAA-encrypted, audit-logged) and integrated with the rest of the platform. A provider can review a patient's vitals and start a video call from the same screen.
14+ Years in Healthcare Engineering
Saigon Technology has spent 14+ years working in healthcare IT. We deliver remote patient monitoring solutions built for real-world clinical settings. Our team handles real-time data, medical device integration, and EHR connectivity. We work across regulated programs in the US, EU, Australia, and Singapore.
HIPAA, GDPR, PDPA and Global Compliance Built In
We design RPM systems with compliance built in from day one, not added as an afterthought. Our solutions meet HIPAA and HITECH in the US, GDPR in the EU, PDPA in Singapore, and Australian Privacy standards. Every system is built for audit readiness, data security, and patient privacy. We cover encryption, access control, and full traceability while keeping the system easy to use.
HL7 FHIR and EHR Integration Expertise
We implement HL7 v2.x and FHIR standards to integrate RPM platforms with EHR systems, medical devices, and healthcare ecosystems. Our experience includes DICOM workflows, LOINC/CPT mapping, and secure APIs. This ensures reliable and scalable data exchange.
Medical Device and IoT Integration for Real-Time Data Collection
We integrate BLE-enabled medical devices and wearables for accurate, real-time patient data collection. Our teams handle real-world challenges like connectivity issues, data gaps, and device variability. We deliver stable and reliable data flow for RPM platforms.
Vietnam's Top Engineering Talent with U.S.-Grade Delivery
Saigon Technology is based in Vietnam with offices in Ho Chi Minh City and Da Nang City. We give you access to Vietnam's top-tier engineers who work at U.S.-grade standards. Our Agile process means steady progress through short sprints, frequent demos, and clear reporting. You see everything that happens while keeping costs manageable.
ISO-Certified Security, Quality, and Governance
We hold ISO 27001 and ISO 9001 certifications from BSI (UK). These certify strong data security and quality control across every project. We follow secure SDLC practices and enforce strict access control and IP protection. Your patient data, custom systems, and key workflows stay safe throughout the build process.
Predictive Analytics And Early Warning
Machine learning models trained on historical patient data can predict adverse events: hospital readmissions, acute exacerbations, or medication non-adherence. These models can flag risks days before they happen. This gives care teams time to intervene proactively.
Anomaly Detection
AI algorithms can identify unusual patterns in patient vitals that rule-based systems miss. For example, a gradual decline in SpO2 combined with reduced activity levels and increased heart rate might not trigger any single-threshold alert. But an ML model can flag the combination as clinically significant.
Clinical NLP And Automated Documentation
Natural language processing can extract structured data from clinician notes, patient messages, and telehealth transcripts. This reduces manual data entry and improves the completeness of patient records.
Risk Stratification At Scale
For health plans and large health systems, ML models can stratify entire patient populations by risk level. Care teams can then allocate resources where they have the greatest impact.
Your engagement model should match the complexity, compliance needs, and stage of your RPM solution. Here is how our models compare:
Best for: Well-defined RPM modules (patient apps, dashboards, device integration) with clear scope
Team control: Saigon Technology manages delivery
Typical timeline: 3–6 months
Cost structure: Fixed budget, milestone-based payments
Best for: Evolving RPM platforms, chronic care software, or multi-phase builds
Team control: Shared; you direct priorities, we manage execution
Typical timeline: 6–18 months
Cost structure: Monthly retainer based on team size
Best for: Adding healthcare IT engineers to your in-house team
Team control: You manage directly
Typical timeline: Flexible
Cost structure: Hourly or monthly per engineer
Best for: Long-term RPM development, maintenance, and growth
Team control: Full control of your dedicated team in Vietnam
Typical timeline: 12+ months
Cost structure: Monthly operational cost
Best for: Building an RPM team you eventually own
Team control: We manage initially, then transfer full ownership
Typical timeline: 12–24 months
Cost structure: Project-based, then transfer
The Discovery phase defines the clinical workflows your RPM platform will support. It also covers the device integration strategy, the regulatory scope (HIPAA, GDPR, SaMD), system architecture, and a delivery roadmap with milestones.
Output: Technical specifications, architecture design, and milestone-based plan with cost estimate.
We design patient apps and clinical dashboards focused on usability and accessibility (WCAG 2.1 AA). Designs are validated through real user testing with clinicians and patients, not just internal review.
Development runs in 2-week sprints covering patient apps, provider portals, device integrations, and backend systems. We use CI/CD pipelines, automated testing, and secure coding practices. This maintains delivery speed and code quality.
We validate end-to-end device connectivity using BLE and test data accuracy across device types. We also verify HL7/FHIR integration with target EHR systems. Testing includes real-world device scenarios and performance validation under high-volume data streams.
Security testing covers OWASP Top 10 vulnerabilities and penetration testing. We run encryption audits and access control reviews. For SaMD projects, we support IEC 62304 software lifecycle processes and ISO 14971 risk management documentation.
We deploy to secure, compliant cloud environments (AWS or Azure with regional data residency). We train clinical teams and provide ongoing monitoring, maintenance, and SLA-based support.
Remote patient monitoring (RPM) software is a digital health platform that collects vital signs and health data from medical devices or mobile apps outside a clinical setting. The software transmits that data securely to healthcare providers and supports real-time monitoring, automated alerts, and clinical decision support.
Most RPM platforms include patient apps, provider dashboards, device integrations, and data analytics. In the US, RPM services can be billed under CPT codes 99453–99458.
Timelines depend on scope. An MVP with a basic app and 1–2 device integrations takes approximately 4–6 months. A full platform with multi-device support, EHR integration, and multi-market compliance typically takes 9–18 months. The Discovery phase (2–4 weeks) defines a detailed roadmap and delivery milestones.
The cost ranges from $50,000 for a basic MVP (patient app + 1–2 devices) to $500,000+ for a full enterprise platform with AI analytics, multi-tenant architecture, and multi-country compliance. Key cost drivers include the number of device integrations, EHR integration depth, compliance scope, and whether AI/ML capabilities are required. We provide a detailed cost estimate during a 2–4 week Discovery phase.
RPM platforms commonly integrate with blood pressure monitors, glucometers, pulse oximeters, weight scales, thermometers, ECG/EKG monitors, and wearable activity trackers. Integration methods include Bluetooth Low Energy (BLE) for direct device pairing, cloud-to-cloud APIs for manufacturer platforms, and health data aggregators like Apple HealthKit and Google Health Connect.
Yes. Medicare reimburses RPM services under several CPT codes: 99453 (initial device setup and patient education), 99454 (device supply and daily data transmission), 99457 (first 20 minutes of clinical staff time per month), and 99458 (additional 20 minutes). There are also codes for remote therapeutic monitoring (98975–98981). Reimbursement rates vary and are updated annually by CMS. Your billing team should verify current rates and eligibility criteria.
Remote patient monitoring (RPM) focuses on the continuous or periodic collection of patient health data from devices outside a clinical setting. This includes blood pressure, glucose, SpO2, weight, and other vitals. Telehealth is broader. It refers to any healthcare service delivered remotely, including video consultations, secure messaging, and remote clinical evaluations. RPM is often a component within a larger telehealth platform. Many RPM platforms include telehealth features like video calls and messaging.
AI enhances RPM in several ways:
Yes. We support development of Software as a Medical Device aligned with FDA, EU MDR, and TGA requirements. We follow IEC 62304 for software lifecycle management, ISO 14971 for risk management, and IEC 62366 for usability engineering. We handle technical documentation and validation. Your regulatory team typically manages the submission process.
Yes, EHR integration is one of our core strengths. We support FHIR-based integration for modern systems and HL7 v2 for legacy systems. During Discovery, we review your EHR setup, APIs, and data mapping to determine the best integration path. We have experience integrating with Epic, Cerner, and athenahealth.
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Jan 20, 2026 
