Medical software built for clinical environments — HIPAA-compliant, HL7/FHIR-ready, built to pass compliance review.
Madgeek builds medical software — clinical management systems, patient portals, medical device software, telemedicine platforms, AI diagnostic tools, and healthcare data analytics — for medical practices, ambulatory surgery centres, health systems, and medical device companies in the US, UK, and Canada. HIPAA-compliant architecture. HL7/FHIR integrations. FDA 21 CFR Part 11 compliance where required. AI included. 50+ enterprise systems shipped.
Building enterprise software since 2017
Enterprise systems shipped across regulated industries
Production AI systems deployed in operations
Clutch rating from verified reviews
Medical software that isn't built for clinical compliance fails in production — not in the demo.
HIPAA compliance is not a checkbox. It's an architecture requirement that determines how PHI is stored, transmitted, accessed, logged, and deleted throughout the system. Applications built on a general-purpose framework and HIPAA-reviewed afterwards have structural gaps — audit logs that don't capture the required access events, data retention policies that weren't designed into the schema, encryption implementations that cover some data flows but not others.
HL7 and FHIR are not optional in clinical environments. Clinical workflows depend on data exchange between EHR systems, lab systems, pharmacy systems, and billing platforms. When a custom application can't send or receive HL7 messages or expose FHIR APIs, it doesn't fit into the clinical information ecosystem — it creates another manual data entry point.
Medical device software has its own regulatory layer. FDA 21 CFR Part 11 requires specific controls for electronic records and signatures. Software as a Medical Device (SaMD) classifications under FDA and MDR in the EU determine what design controls, risk management documentation, and post-market surveillance are required. Building software for a medical device without understanding the regulatory classification means rework — not just documentation gaps.
The data model in medical software is different from every other industry. The clinical data standard (SNOMED CT, ICD-10, CPT, LOINC) determines how conditions, procedures, and observations are coded. Getting the coding wrong means billing errors, clinical decision support failures, and data that can't be shared with downstream systems. It has to be built correctly from the start.
Building clinical software or a medical device application that needs to meet regulatory requirements? Let's talk about architecture before scope.
Book a 30-minute callMedical software built on HIPAA-compliant architecture with clinical data standards from day one.
We start with your compliance requirements — HIPAA, FDA 21 CFR Part 11, CE/MDR, or state-specific regulations — and design the architecture to meet them before writing application features. PHI data flows, audit log requirements, access control model, and data retention policies are defined in the data model and enforced in the application layer.
Clinical interoperability is built in. HL7 v2 message parsing and generation, FHIR R4 API endpoints, SMART on FHIR authentication, and integration with major EHR platforms (Epic, Cerner, Athenahealth) are standard capabilities. Your application fits into the clinical information ecosystem instead of creating a data island.
AI is included. Clinical decision support, diagnostic imaging analysis, patient risk stratification, predictive readmission modelling, NLP for clinical documentation — every AI feature built for a clinical environment includes explainability, confidence thresholds, and audit trails required for clinical governance review.
What we build for medical software.
We build for regulated, complex environments. Medical is the same engineering challenge.
Compliance-grade security, audit trails, complex business rules, role-based access control, and integration with legacy systems — these are the engineering problems we've solved across regulated industries for 8+ years.
Tejas Networks: enterprise platform in a regulated environment
Situation: A publicly listed telecom equipment manufacturer ran multi-level purchase requisition approvals on paper forms. Physical sign-off at each tier. Finance and operations had no visibility into pending, approved, or blocked requests. Strict compliance requirements for audit trails and access control.
What we built: We built a purchase requisition platform with role-based approval chains, configurable escalation rules, real-time dashboards, and full audit trail on every transaction. Compliance-grade access control with department-level permissions and multi-tier approval workflows.
90% reduction in paper-based approvals
AI in production operations: 50 to 80+ agents in 3 months
Situation: A growing operations team needed to scale quality assurance from 50 to 80+ agents without adding management headcount. Manual monitoring couldn't keep pace with growth, and quality consistency was slipping.
What we built: Custom AI-powered call quality monitoring with automated scoring, performance dashboards, and coaching workflows. The AI system processes every interaction, flags quality issues, and surfaces patterns — replacing manual review that would have required dedicated QA staff.
50 → 80+ agents scaled in 3 months
Manufacturing ERP: complex business rules with full audit trails
Situation: A manufacturer needed a custom ERP to handle non-standard cost estimation, procurement workflows, and production scheduling. Off-the-shelf ERP systems couldn't model their pricing rules or approval hierarchies.
What we built: Purpose-built ERP with configurable business rules, multi-level approval chains, real-time cost tracking, and full audit logging. Every calculation traceable. Every approval recorded. Integration with existing accounting and inventory systems.
Complex business rules + full audit trails
What we build for medical practices, health systems, and medical device companies.
Every medical software engagement is different. Here's the range of what we build — designed for your clinical workflow, compliance classification, and integration environment.
Patient scheduling, clinical documentation, care coordination, referral management, and population health tools. Built for your specialty workflow — not a generic EMR template.
Secure patient access to records, appointment booking, care plan management, secure messaging, and telehealth video consultation. HIPAA-compliant. Integrates with your EHR via FHIR.
Software for connected medical devices, diagnostic instruments, wearables, and clinical decision support tools. FDA 21 CFR Part 11 compliant. IEC 62304 software lifecycle documentation where required.
Clinical decision support, diagnostic imaging AI, patient risk stratification, predictive readmission models, and operational analytics. Explainable AI with clinical governance documentation.
Three concerns medical software buyers raise.
"We handle PHI — how do you ensure HIPAA compliance throughout development?"
HIPAA compliance starts with the architecture design, not a compliance review at the end. We document PHI data flows before writing code, design the audit log schema to capture required access events, implement encryption for PHI at rest and in transit, and apply minimum necessary access controls at the role level. Business Associate Agreements are signed before work begins. Development environments use synthetic data — PHI never leaves your production environment boundary.
"Our system needs to integrate with Epic or Cerner. Can you build that?"
Yes. Epic and Cerner both expose FHIR R4 APIs for approved applications. We handle the SMART on FHIR authentication flow, request the appropriate FHIR resources (Patient, Observation, Condition, MedicationRequest, DiagnosticReport), and map the data to your application's clinical data model. Epic's App Orchard and Cerner's Code program have certification requirements for certain integration types — we guide you through what's needed.
"We're building software for a medical device — what FDA requirements apply?"
The FDA classification of your device determines the regulatory pathway. Class I devices with software may require only general controls. Class II and III devices typically require 510(k) premarket notification or PMA. Software as a Medical Device (SaMD) follows the FDA's Digital Health Centre of Excellence guidance. We help clarify the classification and design the software lifecycle documentation (risk management per ISO 14971, software development per IEC 62304) required for regulatory submission.
How medical software engagements work.
Every engagement follows the same structure — with compliance requirements documented before a feature is scoped.
Enterprise systems we've shipped.
Production platforms for regulated industries, complex workflows, and enterprise operations — built and maintained long-term.
AI Call Center Software for Quality Monitoring
Enterprise client
A contact centre operation was scaling rapidly but had no automated way to monitor agent call quality at volume. Madgeek built custom AI call center software that scored agent calls against domain-specific criteria, surfaced coaching opportunities, and tracked performance trends in real time. The result: the operations team scaled from 50 to 80+ agents in 3 months without adding QA headcount.
agents scaled in 3 months
Custom Purchase Requisition Software for Enterprise
Tejas Networks Ltd.
A publicly listed telecommunications manufacturer was running procurement entirely on paper forms and manual approval chains. Madgeek built custom purchase requisition software with automated approval routing, purchase order generation, real-time inventory tracking, and document management. The result was a 90% reduction in paper-based approvals and full visibility across the procurement lifecycle.
reduction in paper-based approvals
Call Center SaaS Platform — ODC Partnership
Lead Tact
Lead Tact, a US-based call center SaaS company, needed a dedicated engineering team to build their platform from scratch — not a one-time vendor build, but an ongoing ODC partnership. Madgeek's dedicated team built and maintains the full product: dynamic call scripts, automated QA monitoring, real-time client portals, analytics dashboards, and lead management workflows. The same engineers from month one are still on the product, shipping features on Lead Tact's sprint cadence.
reduction in admin time for call center operations
Common questions about medical software development.
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Start with a compliance architecture review — before a line of code.
We document your PHI data flows and regulatory requirements before we write a feature spec. Discovery calls are 30 minutes. Proposals within 5 business days.
Book a discovery call