Healthcare systems engineering

Build the technology backbone behind complex care delivery.

NetStartups helps health systems, medical groups, virtual-care companies, care-management organizations, healthcare services businesses, digital-health platforms, and partner networks assess, build, integrate, modernize, and support the custom technology their operations require.

From patient entry and provider routing through virtual visits, clinical data, documentation, communications, reporting, and production support, we work where the care model and the software architecture meet.

Multi-year production engineering FHIR R4 and C-CDA experience Care-delivery workflow depth Continuing live-system support

Custom systems. Client-defined control. Our healthcare credential is the engineering ability to understand a care operation and turn it into reliable production technology—not a claim that another client's system is ours to sell or reuse.

Where the hard problems live

Healthcare technology succeeds or fails at the handoffs.

A care model can be clinically sound and commercially important while its underlying operation remains fragmented. Intake lives in one place. Scheduling and capacity live in another. Clinical data arrives late or inconsistently. Staff bridge systems manually. Reporting describes the past without helping teams manage the work in front of them.

NetStartups engineers the connective tissue: workflow states, role boundaries, routing rules, data movement, interfaces, background processing, operator tools, and production controls that make a complex care operation work as one system.

The care model does not fit comfortably inside a packaged workflow.
An incumbent system covers part of the operation but constrains the roadmap.
Critical work crosses teams, external services, and partner organizations.
Data must move continuously without losing provenance or operational meaning.
New capability must launch while the existing operation remains live.
Leadership needs clearer control over architecture, data, interfaces, and transition risk.

Built for serious care operators

Engineering capacity for organizations with real operational complexity.

Health systems and medical groups

Build or extend virtual-care and coordination workflows, connect clinical data, equip staff with role-specific workspaces, and improve visibility across patient, provider, administrative, and partner handoffs.

Virtual and hybrid care organizations

Turn program rules into dependable software for intake, availability, scheduling, licensure-aware routing, encounters, assessments, documentation, outreach, and follow-up.

Care-management and services organizations

Coordinate distributed teams, configurable programs, recurring work, communications, documentation, reporting, and operational exceptions without forcing the organization into a generic process.

Digital-health platforms

Add missing modules, interfaces, APIs, identity controls, data pipelines, reporting, and production capacity around an incumbent product—or define a controlled modernization path.

Partner organizations and care networks

Create partner-facing experiences, enterprise sign-on, permission boundaries, controlled data exchange, workflow handoffs, event notifications, and management visibility across organizations.

Internal product and technology teams

Add senior architecture, application, integration, interoperability, data, AI, quality, migration, or production judgment around a consequential system.

These are target engagement contexts, not a claim that NetStartups has previously served every organization type listed.

Demonstrated healthcare capabilities

One engineering partner across workflow, data, architecture, and production.

In a multi-year engagement, NetStartups designed, built, integrated, and continues to support a substantial production system created to a healthcare organization's specifications. The system is owned by that client. The capabilities below describe the team's relevant experience.

Care operating systems and workflow

Intake, enrollment, consent, configurable programs and visit types, synchronous and asynchronous appointments, provider availability, slot search, scheduling, assignment, bulk reassignment, licensure-aware routing, work queues, assessments, documentation, and follow-up.

Virtual care and communications

Third-party and browser-based video, WebRTC, virtual waiting rooms, screen sharing, in-visit chat, browser voice, recording, machine transcription, SMS and email campaigns, reminders, cancellations, outreach, time-zone handling, delivery logging, and contact-center workflows.

Clinical data and interoperability

FHIR R4, CCD and C-CDA generation and handling, clinical-data ingestion and synchronization, e-prescribing integration, REST and OpenAPI interfaces, partner APIs, webhooks, secure files, bulk import, field mapping, conversion, migration, identity, and enterprise sign-on.

Healthcare terminology and documents

Experience working with ICD-10, LOINC, SNOMED CT, RxNorm, and NDC; dynamic forms and conditional questions; longitudinal responses; clinical documentation; encounter summaries; continuity-of-care documents; and generated operational documents.

Data platforms and automation

Continuous ingestion, normalization, reconciliation, scheduled and event-driven background work, operational dashboards, exports, relational data engineering, query and index tuning, bulk data movement, synchronization, and controlled correction of live data.

Identity, authorization, and auditability

JWT and token-based authentication, separate policy scopes, role-based access, route permissions, role-filtered navigation, SMS one-time-code verification, OIDC enterprise sign-on, request-level activity logging, error logging, TLS in transit, managed cloud encryption at rest, and environment separation.

Modernization and production engineering

Modular additions, feature-controlled rollout, incremental schema migration, staged component retirement, release verification, log monitoring, root-cause investigation, query tuning, controlled in-place remediation, and continuing support of an evolving live environment.

These practices are engineering controls and implementation experience. They are not presented as a healthcare, privacy, security, or interoperability certification or warranty.

Anonymous production evidence

Proof from real operating work, without exposing a client's system.

A coherent virtual-care workflow

Challenge

Bring enrollment, outreach, scheduling, virtual visits, assessments, documentation, and follow-up into one dependable operating flow.

Delivered

A production workflow connecting the patient journey with the clinical and administrative work required around it.

Demonstrates

The ability to translate a complex care model into software used by multiple operational roles.

Clinical data at the point of care

Challenge

Make external clinical history usable inside the workflow without depending on a one-time manual import.

Delivered

FHIR-based clinical-data integration, background synchronization, and continuity-of-care document handling tied to point-of-care work.

Demonstrates

Ongoing multi-system interoperability connected to an actual care process.

Controlled remediation in a live system

Challenge

Correct a historical data-association problem without interrupting the operation or applying an opaque bulk change.

Delivered

Purpose-built tooling for dry-run analysis, staged application, per-record rollback, audit, and verification.

Demonstrates

Production judgment, data engineering, and the ability to repair a live system through controlled, reversible change.

The system belongs to the client. No client code, data, confidential architecture, or proprietary workflow is offered for reuse. The repeatable asset is NetStartups' technical experience and engineering discipline.

AI with operating discipline

Use AI where judgment helps. Use deterministic code where behavior must hold.

AI can accelerate codebase understanding, architecture analysis, auditing, test development, data investigation, and document processing. Product-facing uses can support extraction, classification, summarization, speech-to-text, anomaly identification, and operator assistance.

AI does not replace the control layer. Permissions, workflow state, scheduling, routing, validations, business rules, data transformations, interfaces, reporting, and transactions remain deterministic where repeatability and auditability matter.

Bounded inputs: AI-assisted work stays inside approved data policies, authorized context, explicit tasks, and role-appropriate access.
Human review: Consequential output remains subject to qualified review and accountable decision-making.
Production controls: Testing, dry runs where appropriate, staged release, logging, verification, and rollback surround consequential changes.

Probabilistic assistance. Deterministic control.

Architecture that can be carried forward

API-first, configuration-driven, and built with standard technologies.

We favor modular boundaries, documented interfaces, configurable behavior, staged rollout, and technology a qualified engineering team can understand and support.

Applications: Representative production experience includes .NET and C#, Angular, SQL Server, Entity Framework Core, AWS, REST and OpenAPI, SignalR, WebRTC, and background services.
Identity: JWT, OAuth and OIDC, role-based access, policy scopes, enterprise sign-on, one-time-code verification, route permissions, and role-specific navigation.
Healthcare data: FHIR R4, CCD and C-CDA, ICD-10, LOINC, SNOMED CT, RxNorm, NDC, partner APIs, synchronization, field mapping, imports, and migration tooling.
Client control: New engagements can be structured around client-owned or client-controlled repositories and infrastructure, documented APIs, usable exports, modular vendor interfaces, and explicit ownership terms.
Transition: Architecture, documentation, data access, and knowledge transfer can be designed so another qualified team can operate the system if needed.

Technology choices are representative rather than mandatory. The right architecture depends on the client's requirements, incumbent environment, team, data boundaries, and long-term operating model.

Available for new design and development

Extend what exists—or design what is missing.

NetStartups can assess an incumbent environment, add senior engineering capacity, build missing modules, create new integrations, modernize selected components, or design a new client-controlled system when the requirements and economics support it.

Patient self-service experiences

Purpose-built intake, account, consent, scheduling, communication, document, status, and follow-up experiences scoped to the care model.

Caregiver-facing workflows

Authorized caregiver access, tasks, communications, documents, consent boundaries, and role-specific coordination designed for a new engagement.

Claims, remittance, and eligibility interfaces

Requirements-driven design for X12 837, 835, and 270/271 transactions, validation, acknowledgments, exception workflows, and reconciliation.

Clearinghouse connectivity

New integration architecture, mapping, file and transaction flow, response handling, monitoring, and operational recovery around an authorized connection.

HL7 v2 interfaces

New requirements-driven interface work for applicable clinical and administrative message flows, mappings, acknowledgments, exceptions, and downstream use.

New partner and program modules

Role-specific workflows, permissions, data exchange, configuration, documents, communication, reporting, and operational controls around a defined program.

This section is intentionally separate from demonstrated production experience. These capabilities are available to design and build; they are not represented as prior implementations.

Ways to engage

Start with the decision that must be made.

Assess
Establish the operating requirements, codebase condition, architecture, data flows, integrations, dependencies, ownership boundaries, risks, and practical options.
Augment
Add senior architecture, application, integration, interoperability, data, quality, AI, or production capacity to an existing team.
Extend
Build the workflows, modules, interfaces, reporting, automation, and role-specific tools an incumbent environment is missing.
Integrate
Connect clinical data, identity, communications, documents, partners, and operational events through controlled interfaces and data movement.
Modernize
Refactor or replace selected components in stages, preserve required behavior, evolve schemas, and keep the operation running through transition.
Build
Design and develop a new client-owned or client-controlled system when the operating model is differentiated and the requirements justify it.
Support
Manage a continuing engineering backlog, production issues, integrations, performance, controlled releases, and system evolution.

Healthcare

Bring us the operating problem, the architecture, or the system that no longer fits.

Explore the full capability