Healthcare software development is the engineering of clinical, patient-facing and operational software for hospitals, clinics, payers and health-tech startups — built to HIPAA-aligned design patterns, integrated with EHR systems (Epic, Cerner, Athenahealth) via FHIR and HL7, and increasingly AI-augmented with clinical-decision-support, triage and documentation assistants. iMagic Solutions builds healthcare software for clients in the USA, Europe and India, with AWS HIPAA-eligible architectures, BAA-in-place AWS accounts and senior engineers experienced in PHI handling, audit logging and regulatory-aligned design.
Healthcare software in 2026 sits at the intersection of three forces: rising patient-experience expectations (telemedicine, mobile, AI assistants), tightening regulatory requirements (HIPAA in the US, GDPR + national health rules in the EU, MDR/IVDR for medical devices), and the explosion of clinical AI use cases (ambient documentation, triage, prior-authorization automation, claims processing). Healthcare buyers don't just need a development team — they need a team that has shipped HIPAA-aligned software, knows FHIR R4 and HL7 v2, has worked inside an EHR integration project, and can navigate compliance without learning on the client's dime.
We build four categories of healthcare software: (1) patient-facing apps — telemedicine platforms, patient portals, remote patient monitoring, symptom checkers; (2) clinician-facing systems — EHR-integrated copilots, ambient clinical documentation, clinical decision support, scheduling automation; (3) operational software — claims processing, prior authorization automation, revenue cycle management, credentialing; (4) AI-augmented systems — RAG over medical literature, ambient documentation copilots, triage chatbots, prior-auth document classification. Every build is HIPAA-aligned by default with a path to certification if the client requires it.
EHR integration is where most healthcare software projects succeed or fail. We've worked with FHIR R4 (modern, REST/JSON), HL7 v2 (legacy, message-based) and proprietary EHR APIs (Epic FHIR, Cerner Ignite, Athenahealth, eClinicalWorks). Integration patterns we use: SMART-on-FHIR for in-EHR app launching, FHIR Bulk Data Access for population-level analytics, HL7 v2 over MLLP for legacy systems, and event-driven syncs via AWS HealthLake for unified data layers. We don't pick integration patterns by vendor allegiance — we pick the one your EHR supports cleanly.
Healthcare AI is the fastest-growing segment of our work. Ambient clinical documentation (the doctor talks, the AI drafts the SOAP note) is showing 60–80% time savings versus manual charting and is the use case we ship most often in 2026. Clinical decision support — AI assistants grounded in your formulary, protocols and the patient's chart — is the second-most-requested. Patient-facing triage chatbots (HIPAA-aligned, with explicit escalation to humans for symptoms above severity thresholds) are common for primary-care and urgent-care groups. All of these are built on AWS Bedrock with the AWS BAA, deployed inside your AWS account on Claude Sonnet or Nova for HIPAA eligibility.
Our healthcare engineering team combines senior software engineers, AWS Certified Solution Architects and senior LLM/RAG engineers with experience across US ambulatory, US enterprise health systems, and EU health-tech. We've delivered to startups doing seed/Series A through to enterprise providers. Engagements start with a free 30-minute discovery call and a written compliance/architecture assessment within 48 hours.
HIPAA-aligned video, scheduling, EHR integration, e-prescription, payment and patient messaging. Built on Twilio Video / Daily.co + AWS with Stripe or healthcare-aligned payment providers. 8–16 weeks.
SMART-on-FHIR app launching, FHIR R4 data access, HL7 v2 messaging, AWS HealthLake event-driven syncs. We've shipped to production inside enterprise and ambulatory EHR environments. 6–14 weeks.
AI-augmented SOAP-note drafting from doctor-patient conversation — Whisper for transcription, Claude Sonnet on Bedrock for clinical-language generation, EHR-write via FHIR R4. HIPAA BAA, PHI redaction, audit logging. 8–14 weeks.
AI assistants grounded in your formulary, clinical protocols and the patient's chart — RAG over institutional knowledge plus EHR context. Includes evaluation harness with clinical-scenario test sets. 10–16 weeks.
HIPAA-aligned chatbot triage with explicit clinical-severity escalation to humans, RAG over your protocols and FAQs, EHR-aware patient context. 6–10 weeks.
Document classification, clinical-criteria matching, payer submission and tracking automation. Saves 30–60% of prior-auth specialist time at typical payer volumes. 10–16 weeks.
Device-data ingestion, threshold alerting, clinician dashboards, billing integration for CMS CCM/RPM codes. Apple HealthKit, Google Fit, Bluetooth medical-device connectivity. 12–20 weeks.
Appointment booking, lab results, secure messaging, bill pay, e-statements, family/caregiver access. Branded to your provider organisation, EHR-integrated. 10–16 weeks.
Written 2–3 week assessment of your AI use case, HIPAA posture, BAA inventory, data classification and PHI flow. Output: an architecture recommendation and roadmap before you commit to a build.
Compliance with HIPAA Security Rule's required risk analysis — covering administrative, physical and technical safeguards. Includes gap remediation plan. 3–5 weeks.
Every healthcare engagement starts with HIPAA-aligned design — AWS BAA, KMS encryption, audit logging, RBAC, PHI redaction, deployment inside the client's AWS account. Compliance is built in, not bolted on at the end.
Experienced with Epic FHIR, Cerner Ignite, Athenahealth, eClinicalWorks, FHIR R4, HL7 v2, SMART-on-FHIR, AWS HealthLake. We've shipped to production inside hospital and ambulatory environments.
Ambient documentation, clinical decision support, triage chatbots and RAG over medical literature — built on Bedrock with AWS BAA, Claude Sonnet for reasoning and Nova for cost-efficiency. HIPAA-aligned from day one.
EU healthcare work delivered into eu-west-1 / eu-central-1 with GDPR data flows, DPAs, and awareness of national EU health-data rules (Germany BDSG, Netherlands AVG, France RGPD-Santé).
Every project staffed with senior engineers who have shipped healthcare software before. No learning on the client's dime — we know FHIR, HL7, PHI handling and clinical workflow patterns.
Every healthcare system ships with structured audit logging on CloudTrail, application-level audit on CloudWatch, PHI access logging, and RBAC inheritance from the client's identity provider — required for HIPAA Security Rule.
Every engagement starts with a 2–4 week fixed-scope PoC on real (de-identified) data with one real integration. You validate compliance posture and accuracy before the full build.
Default AWS HIPAA-eligible deployments, but we also build on Azure HIPAA-eligible services for clients with Microsoft enterprise commitments. Multi-region failover and DR design for production health systems.
A few of the things we deliver under healthcare software development:
Free 30-minute clinical-tech call. We map use case, EHR landscape, PHI flows, compliance scope and stakeholders. Output: a written compliance/architecture assessment within 48 hours.
HIPAA-aligned target architecture — AWS BAA, KMS encryption, RBAC, audit logging, PHI redaction, EHR integration pattern. Written architecture document with security risk analysis before code.
Fixed-price 2–4 week PoC on de-identified real data with one real EHR or device integration. Validates accuracy, compliance posture and integration feasibility.
Engineer the production system — EHR integration, AI components, audit logging, PHI redaction, RBAC, observability. 8–20 weeks depending on scope. Continuous compliance review during build.
Production deploy inside client AWS account, CloudWatch + CloudTrail dashboards, quarterly Well-Architected reviews. Most clients move to ongoing managed-service retainer post-launch.
Yes. Every healthcare engagement starts with HIPAA-aligned design — AWS BAA, KMS encryption at rest and in transit, audit logging, RBAC, PHI redaction, deployment inside the client's AWS account. We've delivered HIPAA-aligned ambulatory and enterprise-provider software, and can support full HIPAA certification engagements when required.
Yes. We've shipped to production inside Epic (via SMART-on-FHIR and FHIR R4), Cerner Ignite, Athenahealth, eClinicalWorks and several proprietary ambulatory EHRs. We work with FHIR R4 (modern REST/JSON), HL7 v2 (legacy message-based) and SMART-on-FHIR for in-EHR app launching.
Yes — ambient clinical documentation is our most-shipped 2026 healthcare AI use case. Whisper for transcription, Claude Sonnet on Bedrock for SOAP-note generation, FHIR-write back to the EHR. Typical 60–80% time savings on documentation versus manual charting. Build: 8–14 weeks. HIPAA-aligned with AWS BAA from day one.
Telemedicine platform: $60K–$200K offshore-delivered ($300K–$800K US in-house). EHR integration: $30K–$120K. Ambient documentation AI: $50K–$150K. Prior-auth automation: $80K–$250K. RPM platform: $80K–$200K. We always start with a fixed-price 2–4 week PoC before the full build.
Yes. We work with the AWS Business Associate Agreement, configure HIPAA-eligible AWS services only, set up KMS encryption, CloudTrail logging, IAM least-privilege, and PHI handling controls. We deliver into your AWS account so the BAA stays between you and AWS — we're a Business Associate sub-contractor only when required.
Both. From scratch is common for new health-tech startups (8–16 weeks). Extension is common for established provider groups adding telemedicine to existing patient portals (4–10 weeks). We've integrated with Twilio Video, Daily.co, Doxy.me and built custom WebRTC stacks depending on scale and customisation needs.
FHIR (Fast Healthcare Interoperability Resources) R4 is the modern standard for healthcare data exchange — REST/JSON-based, structured resources for patients, encounters, observations, medications. Every modern EHR and US provider regulatory submission uses FHIR. We default to FHIR R4 for integration work; HL7 v2 is used only when the EHR doesn't expose FHIR (rare in 2026).
Yes — EU healthcare work is delivered into eu-west-1 (Ireland) or eu-central-1 (Frankfurt) with GDPR-compliant data flows, DPAs and SCCs. We're familiar with national EU health-data rules — Germany BDSG, Netherlands AVG, France RGPD-Santé — and have shipped to UK NHS / Trusts and German private health-insurance projects.
Yes — companion apps for MDR-regulated medical devices in the EU and FDA-regulated devices in the US. We follow ISO 13485 documentation patterns, IEC 62304 software-lifecycle standards and FDA 21 CFR Part 820 quality system documentation. We're not a certified medical-device manufacturer — we partner with your regulatory team and provide engineering deliverables aligned to your QMS.
Production PHI never enters development or staging environments. We use synthetic data generators (Synthea for FHIR), de-identified real datasets where contractually allowed, and tokenised PHI for integration testing. Development workstations don't have access to production data; production access is RBAC-controlled and logged.
Yes — production-safe clinical decision support is one of our specialty areas. The architecture is: RAG over your protocols and formulary, EHR context retrieval (patient chart, meds, allergies, recent labs), Claude Sonnet on Bedrock for reasoning, citation surfacing for every recommendation, explicit clinician confirmation before any action, and an evaluation harness with clinical-scenario test sets. We don't ship CDS that takes action without a clinician's explicit confirmation.
Telemedicine: 8–16 weeks. EHR integration: 6–14 weeks. Ambient documentation: 8–14 weeks. Clinical decision support: 10–16 weeks. Patient portals: 10–16 weeks. RPM: 12–20 weeks. All preceded by a 2–4 week fixed-price PoC. End-to-end including discovery and PoC: typically 4–6 months for medium complexity.
Book a free 30-minute clinical-tech discovery call via /contact. We'll walk through the use case, EHR landscape, PHI scope, compliance requirements and timeline. You'll get a written compliance/architecture assessment within 48 hours, before any commercial proposal.
Generative AI agents, RAG assistants, copilots and chatbots built on AWS Bedrock, Claude, OpenAI and open models — for India and the USA.
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