MayaLogic
Healthcare

Software, AI, and cloud engineering for healthcare.

Clinical, payer, and digital health products.

Overview

How we work in healthcare.

Healthcare teams operate under constraints that most generic software shops underestimate — regulatory, operational, or commercial. We have shipped enough in this sector to know which corners can be cut and which cannot.

Every engagement begins with mapping those constraints explicitly. From there we build in production-shaped slices, with the security, compliance, and observability posture you will eventually be audited against in place from week one.

Industry constraints we design for

The non-negotiables are part of the architecture.

Compliance

HIPAA-style privacy, accessibility, and clinical governance are delivery gates rather than paperwork at the end.

Latency

Patient lookup, order review, and hand-off screens need response budgets that hold during busy clinics.

Auditability

PHI access, clinical edits, and integration writes are traceable by user, role, time, and source system.

Data security

Protected health data is isolated with least-privilege access, redaction, encryption, and retention controls.

User adoption

Clinicians get workflows shaped around high-volume encounters so the tool helps on Monday morning.

Sample workflow

A pragmatic path from discovery to production.

We avoid theatre by shipping one auditable, observable workflow first, then using real adoption and operating data to guide the next slice.

  1. Discovery

    Map the clinical journey

    Shadow clinicians, identify hand-offs, and separate source-of-truth data from experience gaps.

  2. Build

    Federate the experience

    Create audited adapters, role-aware screens, and accessible workflows around the highest-volume tasks.

  3. Launch

    Measure adoption safely

    Roll out by site or specialty with audit trails, support playbooks, and adoption telemetry.

Common systems we build

Software patterns we see repeatedly in healthcare.

Clinical portals

EHR and lab integrations

Patient engagement apps

Referral and scheduling workflows

Technology fit

We choose stacks for reliability, hiring depth, integration fit, and long-term ownership.

Next.js

Portal

FHIR APIs

Integration

Azure AD

Identity

OpenTelemetry

Observability

Capabilities

What we typically deliver.

Custom platforms

Core systems built around how your operations actually work, not a vendor template.

AI & data products

Models and pipelines that survive contact with production, with the evaluation harness to prove it.

Cloud & platform

Landing zones, replatform projects, and developer platforms tuned for your compliance footprint.

Modernization

Strangler-pattern moves off ageing systems, with measured cutovers and no big-bang surprises.

Security & compliance

Secure SDLC, threat modeling, and audit-ready evidence baked into delivery — not bolted on.

Embedded teams

Senior engineers and SREs embedded with your team for the time it takes — and not a day longer.

Ready when you are

Talk to a healthcare engineer.

A senior engineer with industry experience will follow up within one business day.

Healthcare Software & Technology Solutions | MayaLogic