Advinow
It's an AI-driven healthcare platform that automates patient engagement and consultation processes, helping healthcare providers deliver efficient, on-demand services.
View Case StudyWe build and manage IoT solutions for healthcare organizations that are ready to scale beyond proof of concept. Whether you're a CTO at a health system dealing with fragmented device data, a founder building a remote care platform, or a digital health team trying to close the gap between connected devices and your EHR, Citrusbug gives you a clear path from architecture to compliance-ready deployment.
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Hospitals and Health Systems looking to unify data from disparate medical devices and reduce reliance on manual monitoring workflows
Digital Health and HealthTech Companies building connected care platforms, wearable integrations, or remote monitoring products at scale
Medical Device Manufacturers who need secure, standards-compliant connectivity between devices, cloud infrastructure, and clinical systems
Telehealth Platforms that require real-time patient data from IoT devices to be delivered reliably to clinicians during virtual consultations
Health-Tech Startups that need to move from prototype to production without accumulating technical debt or compliance liabilities
We cover the full IoT delivery cycle. From architecture and device integration to compliance validation and post-launch support, here is what working with Citrusbug looks like in practice.
We build remote patient monitoring software systems that track vital signs, chronic conditions, and post-acute recovery in real time. Our RPM solutions reduce unnecessary hospital readmissions, enable proactive clinical intervention, and give care teams a continuous window into patient status between appointments. Fully HIPAA-compliant and EHR-integrated.
Siloed devices create dangerous gaps in patient data. We connect your medical device ecosystem into a unified IoMT layer so that infusion pumps, cardiac monitors, wearables, and diagnostic equipment feed a single, coherent data stream. We support HL7 FHIR R4, HL7 v2/v3, DICOM, and MQTT protocols, and we build device-agnostic integration layers that scale without vendor lock-in.
Connecting IoT data to your EHR is where most implementations get stuck. We specialize in EHR software development integrations with platforms including Epic, Cerner, and MEDITECH, mapping device data to FHIR-compliant resources and ensuring clean bi-directional data flow. This bridges the gap between connected devices and the clinical record.
Raw IoT data is only useful if it triggers the right action at the right time. We build rule-based and ML-driven alerting systems that surface early warning signals from continuous monitoring streams, enabling clinical teams to intervene before conditions deteriorate. Alerting thresholds are configurable per department, care team, and patient condition profile.
Virtual care is only as reliable as the data feeding it. We build HIPAA-compliant data pipelines that route real-time IoT readings into telehealth platforms, ensuring clinicians in virtual consultations have access to the same quality of data they would have at the bedside. Latency matters. We build for it.
Misplaced equipment costs hospitals time, money, and sometimes patient outcomes. We implement real-time location systems (RTLS) and IoT-based asset tracking for medical equipment, helping operations teams reduce equipment downtime, improve utilization rates, and automate maintenance scheduling.
We use IoT data to trigger automated workflows across nursing stations, pharmacy dispensing, lab order management, and supply chain. This reduces manual data entry burden on clinical staff, lowers the risk of documentation errors, and frees care teams to focus on patients rather than processes.
Continuous monitoring beyond the bedside requires reliable wearable integrations. We connect commercially available wearable devices and custom sensor hardware to clinical data pipelines, normalizing data formats and applying appropriate de-identification before it enters any downstream system.
Get a free technical scoping session with our healthcare IoT team. We will assess your environment, review your compliance requirements, and outline an architecture that fits your clinical workflows.
Schedule a ConsultationHealthcare IoT pricing depends on scope, compliance requirements, integration complexity, and the number of devices and data sources involved. A basic integration typically ranges from $10,000 to $50,000, while a full-scale enterprise system with IoMT infrastructure and multi-site deployments can exceed $100,000.
Share your requirements with us, and we’ll provide a detailed, tailored cost breakdown based on your specific use case, integrations, and compliance needs.
End-to-end encryption (AES-256), access controls, automatic logoff, and audit log generation built into every system we deliver.
All IoT data pipelines are mapped to FHIR-compliant resource structures, enabling seamless interoperability with certified EHR systems.
Our internal development and data handling processes are SOC 2 Type II audited, providing assurance of operational security and availability.
We support region-specific data residency requirements, including US, EU (GDPR-aligned), and other regulatory jurisdictions.
Familiarity with IEC 62443 (industrial IoT security), IEC 62304 (medical device software lifecycle), and FDA guidance on software as a medical device (SaMD) where applicable.
Every engagement begins with a mutual NDA. Your architecture, data models, and clinical workflows remain fully confidential.
We start by mapping your clinical environment, device ecosystem, existing EHR infrastructure, and compliance obligations. This is not a generic kickoff. We look for integration conflicts, data governance gaps, and architecture risks before the project starts, not after.
Our architects design the IoT system with HIPAA safeguards, FHIR data models, and your clinical workflow requirements built in from the start. You receive a documented blueprint that your legal, compliance, and clinical informatics teams can review and sign off on.
We build in iterative sprints, integrating devices, building data pipelines, and connecting your clinical systems in parallel. You see working software at the end of every sprint, not after six months.
Before any system touches live patient data, it goes through security penetration testing, HIPAA audit readiness review, and functional validation against your clinical acceptance criteria. This step is non-negotiable.
We support production deployment, staff onboarding, and documentation handover. Post-launch, we offer managed IoT healthcare services including monitoring, maintenance, and iterative feature development.
Every system we build starts from a compliance baseline, not a feature list. HIPAA safeguards, FHIR data structures, and audit trail requirements are architectural decisions we make in Week 1, not retrofits in Week 12. Healthcare organizations we have worked with avoid compliance rework cycles that can cost more than the original project budget.
Our teams have hands-on experience integrating with Epic, Cerner, MEDITECH, and custom health data environments. We understand the difference between building software and building software that clinical and IT teams will actually use and trust. That gap is where most vendor relationships break down.
We operate on short sprint cycles with documented delivery milestones. If a dependency, a device protocol edge case, or a compliance requirement changes the scope, you know about it the same week, not the same quarter. Our Clutch rating of 4.7 reflects this approach, not just our technical output.
The future of healthcare IoT is not just connectivity. It is predictive. We bring AI-powered analytics into IoT deployments, enabling systems that do not just collect data but surface the actionable signals inside it. This is what separates a connected device network from a clinical intelligence system.
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Introduction Healthcare is deep into a cloud-first decade, where digital transformation, data-driven decision-making, and scalable cloud platforms are reshaping how care is delivered and managed. Electronic health records, imaging, telehealth,…
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Healthcare providers are expanding remote care programs to monitor patients outside hospitals and clinics. Remote patient monitoring platforms collect health data from connected devices such as blood pressure monitors, glucose…
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Introduction Healthcare organizations increasingly use data to aid in clinical, financial, and operational decision-making. With a growing amount of patient records, claims and administrative information, decision makers need context rather…
Read Article →Fewer avoidable readmissions
Remote patient monitoring programs using connected devices have been linked to meaningful reductions in 30‑day hospital readmissions for high‑risk conditions like heart failure and COPD, helping keep patients at home instead of back in the hospital.
Earlier intervention for deteriorating patients
Continuous IoT‑based vital sign monitoring can trigger automated alerts when a patient’s condition starts to worsen, giving care teams a critical early‑action window compared with traditional, periodic manual checks.
Less time hunting for equipment
Real‑time asset tracking tags on devices such as pumps, monitors, and wheelchairs allow nurses to locate equipment in seconds, cutting time spent searching and giving staff more time at the bedside.
IoT solutions for healthcare are connected systems that allow medical devices, wearables, sensors, and infrastructure equipment to capture, transmit, and act on clinical and operational data in real time. They cover remote patient monitoring, medical device integration, EHR data pipelines, clinical alerting, hospital asset tracking, and workflow automation. At Citrusbug, our healthcare IoT engagements also include AI-powered analytics layers that turn raw device data into actionable clinical signals.
Healthcare IoT operates under strict regulatory constraints including HIPAA, HITECH, FHIR interoperability standards, and in some cases FDA guidelines on software as a medical device (SaMD). Compliance is not an add-on layer; it shapes architecture, data models, access controls, and audit trail requirements from day one. Working with a healthcare-specialized team like Citrusbug means your system is built for clinical and regulatory environments, not adapted to them after the fact.
Yes. We specialize in EHR integration for platforms including Epic, Cerner, MEDITECH, and Allscripts, using HL7 FHIR R4 standards for structured data exchange. We also build custom FHIR API bridges for proprietary or legacy systems. Our healthcare IT consulting team can assess your existing EHR environment and map a safe integration path before development begins.
Absolutely. We create and implement IoT healthcare projects with consideration to your clinical workflows, your compliance requirements, and your further organizational growth objectives.
A typical engagement includes a discovery and architecture review phase, solution design with a compliance blueprint, iterative development and device integration sprints, compliance validation and security testing, and deployment with handover documentation. Timelines range from 8 weeks for focused integrations to 6 to 12 months for full enterprise IoMT platforms. We provide a scoped roadmap after the initial discovery call.
We apply AI-based algorithms using real-world information from healthcare devices to identify healthcare predictive insights, automate alerts, and improve IoT workflows for decisive actions.
Yes. All systems we build include AES-256 encryption, role-based access controls, automatic session management, and detailed audit logging. Our processes are SOC 2 Type II audited. We also support GDPR-aligned data residency configurations for organizations operating outside the US. Compliance documentation is delivered alongside every system.
Costs range from approximately $10,000 for basic device integrations and pilot deployments to $500,000 and above for full enterprise IoMT platforms with multi-site deployment, EHR integration, and ongoing managed services. We provide a detailed cost estimate within 48 hours of receiving your project requirements. The pricing section above gives a three-tier reference breakdown.
We work with hospitals and health systems, digital health and HealthTech companies, medical device manufacturers, telehealth platforms, and health-tech startups. Our healthcare app development work spans both clinical-facing applications and back-end data infrastructure. If you are evaluating whether your organization is a fit, a 30-minute call with our team is the fastest way to find out.
Yes. We offer post-deployment managed IoT healthcare services including infrastructure monitoring, device fleet management, performance optimization, and iterative feature development. Managed service engagements are structured as monthly retainers scoped to your operational needs. Many clients transition from project delivery to a managed service model once their initial platform is live.