HIPAA-compliant platforms, EHR integrations, AI workflows, and medical device software for health systems, digital health companies, and medtech teams.
Topflight’s healthcare software development services connect the systems, data, and workflows your organization depends on. Our custom healthcare software development work includes clinical and operational platforms, EHR integrations, data pipelines, AI workflows and agents, and medical device software.
That might mean giving clinicians one place to review patient data, automating a billing workflow, or bringing device readings into a care team’s existing tools. We start with who uses the system, where information needs to move, and which manual steps slow the work down. That gives your first release a defined scope and integration plan.
Security and compliance are part of that planning. We account for HIPAA requirements, PHI handling, access controls, and audit trails from discovery, with testing built into delivery. For AI-enabled workflows, we define where staff review, approve, or act on the output.
Topflight is based in Irvine, California. Our US-led team brings product strategy, design, engineering, and ongoing support to software development for healthcare.
Topflight ranked #171 in software on the Inc. 5000 list.
If you're comparing healthcare software development companies, check their project evidence and code/IP terms.
We design AI agents and clinical documentation into the first workflow map. AI drafts, clinicians decide: every clinical workflow requires clinician sign-off before anything enters the record.
Your patient data never trains our models or anyone else’s. You own the FHIR layer, including integration code, data mappings and interfaces, even if you change vendors. We’re custodians of your data; you remain its owner.
Our leadership and core engineering team are based in the US. Reach the people making decisions directly, without offshore handoffs or time-zone gaps, and with clear responsibility for PHI access.
Our portfolio includes clinical trials, remote monitoring, prescription workflows and hospital operations.
Our medical software development services cover new builds and improvements to existing systems. We scope your clinical and operational workflows against your existing technology and compliance requirements.
We map workflows and integrations. Your technical plan defines compliance requirements and first-release scope.
Healthcare custom software development covers clinical platforms and portals. Role-based access follows your workflows.
Our EHR integration work connects your systems through FHIR and HL7. We map and validate clinical data.
Data pipelines feed clinical and operational dashboards. We define normalization and access rules.
We’re an AI healthcare software development company. AI integration work covers agents, data access and human review.
We connect devices and companion software. For SaMD, we scope IEC 62304 lifecycle work.
We replace unsupported components in phases. Migrations include APIs, data checks and planned cutovers.
We maintain platforms and integrations. Compliance upkeep and support targets follow your agreement.
Not sure which service fits? Book a 30-minute scoping call.
EHR-connected workflows and dashboards for care coordination across departments.
Patient portals that connect intake and scheduling for specialty care.
Healthcare platforms that connect your systems, with access rules for each workflow.
Member tools and dashboards that track care and coordinate outreach across providers.
Trial platforms and participant tools for recruitment, study operations, and data collection.
Companion software and monitoring dashboards that bring device data into care workflows.
Our medical software development spans care delivery, operations, patient engagement, and research.
Modules and extensions that fit existing records and clinical workflows.
Shared care plans, referrals, and handoffs across clinical teams.
Lab orders, specimen tracking, results, and connections to clinical systems.
Medical imaging software development for DICOM viewers and PACS integrations.
Appointments, intake, and daily practice workflows in one place.
Operational dashboards for capacity, staffing, and performance monitoring.
Patient access to appointments, records, messages, and care services.
Virtual visits connected to scheduling and clinical workflows.
Device readings, patient check-ins, and alerts for care-team monitoring.
Healthcare CRM software development services for outreach and patient relationships.
Coding and billing workflows, including AI assistance illustrated by GaleAI.
Workflow automation for claims, eligibility checks, and prior authorization.
Participant engagement and study-data workflows, including our work with Medable.
Companion software connects devices to monitoring dashboards for care teams.
For patient and clinician mobile apps, explore our healthcare app development services.
See how our healthcare software development company connects devices, clinical data, and everyday workflows.
Trial and platform extensions
4products launched in 12 months
Medable API and Axon extensions for trial devices and health data, plus a separate Cin7 supply-management workflow.
Read case study
Remote patient monitoring
$300Kreported SaaS deal ARR
An RPM web platform bringing sensor data, Validic, and Twilio messaging into care-team dashboards and billing workflows.
Read case study
Computer vision & RTM
Up to 80%less time spent on clerical work
Computer-vision RTM software syncing patient video exams and joint-angle measurements to clinician dashboards and recovery plans.
Read case study
Epic integration
Epicpatient profiles and visit summaries connected
Patient and provider tools connected to Epic through FHIR, with patient lookup and visit summaries across mobile and desktop.
Explore the integration
Gale AI: Grant Muller
LnQ: Ryan Majoria
algorx: Adam Hotchkiss
Walker Tracker: Taylor Welsh
Colin Mansfield, Founder of AllheartzOur challenge was somewhat unique. I was looking for a development company that could handle novel technologies and had experience working with early-stage startups. From the start, I had peace of mind about the outcomes of this project — it’s hard to put a price on that. Their flexibility and their previous expertise in bringing great solutions to the market are remarkable. Full review on Clutch >>View reviewer profile
We connect your healthcare software with EHRs and clinical systems to support everyday workflows. EHR/EMR integration starts with the data you need, access permissions, and where it goes.
Bring patient records, visit summaries, and relevant results into the tools clinicians and patients already use.
Use FHIR R4 and SMART on FHIR where supported, with HL7 v2 feeds or DICOM exchange when the workflow requires them.
Map fields and reconcile patient identities, then test access and error handling for each supported read or write operation before go-live.
Our integration experience includes Epic and athenahealth. API access and write-back depend on the vendor, provider, and project scope.
You own the integration layer: FHIR mappings, interfaces and data stay yours.
Unsupported components, missing APIs, or scaling limits can hold back an otherwise useful system. We modernize in phases, adding integration points and replacing the parts that need work while planning for continuity of clinical operations.
Map dependencies, security gaps, and data quality. Define what to retain, replace, or expose through new APIs.
Move data in scoped batches, reconcile records, and compare results. Use parallel operation where the workflow requires it.
Test the switchover, define rollback steps, and coordinate with clinical teams before retiring the old components.
Our medical device software development connects devices, companion apps, and care workflows. We scope each build around its intended use.
Connect sensors and wearables through BLE or supported device APIs, with pairing, synchronization, and reconnection flows.
Build patient and clinician interfaces for device setup, measurements, and daily use.
Bring device readings into secure storage and dashboards, with timestamps, validation, and links to relevant care workflows.
SaMD is software with an intended medical purpose that is not part of a hardware medical device. We scope risk management, verification, requirements traceability, and IEC 62304 lifecycle work around the intended use and the client’s quality system.
Turn clinical and operational inputs into useful drafts, insights, and coordinated actions. Explore where AI can help and where people stay in control.
Input
Authorized notes, transcripts, and relevant EHR data.
AI work
Draft documentation from approved notes or encounter transcripts.
Human review
Check accuracy, edit, and decide what enters the record.
Reviewed output
Reviewed notes move into the approved workflow.
Illustrative workflow
Input
Approved source material and coding rules.
AI work
Prepare candidate codes with supporting context.
Human review
Review support, resolve gaps, and validate selections.
Reviewed output
Approved coding output for the revenue cycle workflow.
Illustrative workflow
Input
Permitted intake context and scheduling information.
AI work
Prepare messages and suggest the next workflow step.
Human review
Review messages and escalate exceptions.
Reviewed output
Route approved communication or staff tasks.
Illustrative workflow
Input
Authorized activity, capacity, and performance data.
AI work
Summarize trends and surface questions for investigation.
Human review
Check assumptions, source quality, and context.
Reviewed output
Reviewed insights inform a team decision.
Illustrative workflow
Input
An explicit goal and a defined set of permitted tools.
AI work
Prepare the steps across connected systems.
Human review
Approve consequential actions and handle exceptions.
Reviewed output
Complete approved steps with a traceable activity record.
Illustrative workflow
For PHI workflows, we scope data access, appropriate BAAs, audit trails, and review rules. Staff approve clinical outputs and consequential agent actions.
Featured project
We helped build an AI medical coding platform with EHR integrations, turning clinical notes into coding support.
Read the GaleAI case studyResults reported in the published GaleAI case study.
Problem: Medical coding is slow and error-prone at scale—teams miss codes (and revenue) and burn time reviewing huge volumes of notes.
Solution: We helped build GaleAI, an AI medical coding platform that can analyze thousands of notes in a few seconds and cut coding effort by 97%, with integrations into EHR/medical APIs.
Outcome: Reported gains include up to 15% higher revenue. In a 1-month audit, GaleAI identified 7.9% more codes than human coders—equated in the case study to $1.14M/year in lost revenue from undercoding, with the tool’s cost noted as <1% of gained revenue.
Planning an AI feature on clinical data?
Talk to the team that built GaleAIWe build custom healthcare software around your operating model, with connected records and permissions for each workflow.
Exchange validated records and track sync errors.
Protect PHI with encryption, access controls, and audit logs.
Set role permissions and connect SSO to your identity provider.
Route tasks with reminders, flagging exceptions for staff review.
Connect eligibility, claims, and payments via APIs or scoped X12.
Build role-specific dashboards, reports, and exports.
Draft and analyze with staff approval before consequential actions.
Centralize access across configured sites while keeping tenant data separate.
Our healthcare software developers choose the stack around your existing systems, deployment requirements, and long-term support needs.
Compliance requirements guide each release plan and the tests needed to collect supporting evidence. We scope safeguards around your data, users, and intended use.
Scope encryption in transit and at rest, MFA, permissions, audit trails, and cloud/AI safeguards around PHI flows and applicable BAAs.
Link regulated-software requirements, risks, and verification evidence.
We test critical workflows and release changes against agreed acceptance criteria. Assessments and regulated-software evidence are scoped to product risk.
Test permissions and edge cases within care-team workflows.
Check scoped FHIR, HL7, or DICOM exchanges and failure handling.
Check peak-load response times and recovery from failed jobs.
Test access boundaries; scope penetration testing before launch.
Check keyboard access, screen readers, and WCAG 2.1 AA criteria.
Review key tasks with clinicians and other intended users.
Plan your first release around a defined scope. These USD planning estimates show the investment and delivery windows for six common project types.
| Project type | Typical investment | Time to first release | Baseline build | Standards and integrations |
|---|---|---|---|---|
| Focused platform MVPA defined first release | $60K– | 8–16 weeks | One interface, core workflow, access controls and HIPAA safeguards; no EHR write-back. | PHI safeguards; no EHR write-back |
| Single-EHR integrationEpic production example | $50K– | 6–12 monthsTo first production go-live | A defined data flow in an existing product, connection development, validation and site coordination. | Epic; scoped API access |
| Data and analytics platformTwo read-only feeds | $120K– | 12–24 weeks | Normalized storage, operational dashboards, exports, permissions and auditability. | Read-only feeds; audit logs |
| AI feature on clinical dataA focused retrieval assistant | $60K– | 8–16 weeks | Curated data, a hosted model and human review on existing secure infrastructure. | Hosted LLM; scoped PHI access |
| Enterprise platform or modernizationA defined release or bounded phase | $220K– | 20–40 weeks | Multiple roles, deeper integrations, resilient architecture and a scoped migration where needed. | Scoped interfaces; migration controls |
| Ongoing supportCoverage agreed for your system | Scoped monthly quote | Ongoing | Maintenance coverage, hosting allocation, integration upkeep and response targets. | Existing stack; agreed PHI controls |
Final costs depend on requirements. Analytics, AI and modernization ranges are estimates for the baselines shown. Epic’s window includes production validation and site coordination. The AI scope excludes custom model training, autonomous clinical decisions and new EHR write-back.
Data quality, read/write access and rollout requirements affect both budget and timing. Discovery defines the release scope before we commit to a delivery plan.
Explore the healthcare software development cost guide.
Your healthcare software product development plan starts with who uses the system and where data needs to move.
Map workflows, architecture, integration points, and compliance needs to define your first release.
Prototype clinician and admin workflows, including permissions and the screens staff use during care.
Plan 2-week sprints with security checks and reviewable releases every 2–4 weeks.
Test clinical workflows and data exchange; scope IEC 62304 verification where the product is SaMD.
Validate migrated data and the cutover plan, then support staff through the first live release.
SDLC in healthcare means a software development life cycle covering clinical workflows, PHI controls, integration checks, and release validation. Read the SDLC answer.
Choose custom medical software development when available products can’t support your workflow or data exchange.
| Decision | Custom build | Off-the-shelf product |
|---|---|---|
| Workflow fit | Custom software development for healthcare starts with your clinical workflow. | Configure the vendor’s existing workflow. |
| Integration | Build the interfaces your systems need. | Check API access, fees, and vendor support. |
| 5-year cost | Build, hosting, upkeep, and feature work. | Licenses, setup, interfaces, and price changes. |
| Compliance ownership | Define controls and keep evidence with your delivery team. | Check vendor controls; document your configuration and use. |
| Code and data rights | Your contract defines code, IP, licensed components, and data rights. | Check product licensing, data rights, and export terms. |
| Time to first release | Depends on build scope and integration readiness. | Depends on configuration and vendor onboarding. |
Buy when the product covers your core workflow and connects to your existing systems. Check its data exports and license terms before you commit.
The questions we hear before a healthcare software build.
We build software around how you deliver care and run your business: clinical tools, operational systems, billing workflows and patient-facing platforms. The work includes the data connections and safeguards those workflows need.
We take projects through discovery and technical design, product design and development, connections to existing systems, testing and launch. The scope of services depends on your product’s data and the systems it needs to connect.
Plan $60K–$120K for a focused platform MVP, or $220K–$450K+ for an enterprise release or major modernization phase. The Epic production example is $50K–$200K+; integration depth, compliance scope and data migration move the budget. Our healthcare software development cost guide explains the underlying ranges.
Look for comparable healthcare projects and evidence that the team has shipped your EHR or device connections. Ask to see the BAA terms, security/testing evidence and code ownership clauses; compare an outside team’s delivery and support coverage with the people you can staff in-house.
The current planning windows are 8–16 weeks for a focused MVP or scoped AI feature; 12–24 weeks for a data platform; 20–40 weeks for an enterprise release or modernization phase; and 6–12 months to first production go-live for the Epic example. The Epic window includes site approval and production validation.
Our healthcare software development process runs through discovery, design, build, QA and launch. Healthcare adds PHI threat checks and validation of EHR and device data flows; SaMD projects also need IEC 62304 lifecycle work scoped to their classification.
Buy when a vendor’s product already fits your workflow and connects to the systems you depend on. Build when your workflow needs different behavior or existing vendors leave data gaps you can’t work around.
Yes. We scope Epic, Oracle Health and athenahealth connections using FHIR R4, SMART on FHIR or HL7 v2 where the vendor supports them. Your data access and each site’s approval process set the path to production.
Yes. We build device companion software and connections that move sensor data into care workflows. For SaMD, we agree IEC 62304 lifecycle work and risk management with your regulatory team, plus FDA submission documentation where applicable.
Downtime depends on your current system and the migration scope. We reduce cutover risk with phased migration and parallel running, then agree the maintenance window and rollback criteria before production changes.
Yes, where the engagement calls for a BAA; we agree it before access to PHI. Your agreed security scope covers access controls, audit logs, encryption, backups, and approved vendor/data flows.
No. Your patient data never trains our models or anyone else’s. We act as custodians of your data, and you retain ownership.
Client ownership applies to the custom deliverables covered by your agreement. We document transfer terms and any exceptions for pre-existing or third-party code before development starts.
Yes, with coverage and response targets set in your support agreement or SLA. Budget about 25% of build cost each year for upkeep, with hosting and third-party fees itemized. New feature work and AI model usage are scoped separately.
Start with one workflow your team needs every day.
Our custom healthcare software development services can begin with a focused platform release or one connection to your EHR. We’ll map the data access and review steps before you commit to the wider build.
Read the guides on PHI safeguards, Epic connections, clinical AI, device software and choosing a development partner.
