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Hala Medical Laboratory

  • Category Development
  • Client Hala Lab - Clinical Laboratory
  • Start Date July 16, 2025
  • Handover September 10, 2025
Hala Medical Laboratory

The Challenge

Clinical labs need a streamlined way to register patients, create and track orders, execute tests across benches, and generate print‑ready reports, without juggling clunky tools, brittle spreadsheets, or bespoke scripts. Leaders asked for predictive insights about turnaround‑time risks and patient health trends.

Our Solution

We built a modern, modular LIMS on Next.js that delivers end‑to‑end workflows from patient intake to test execution and print‑ready reporting, augmented with AI‑powered analysis for triage, anomaly detection, and narrative result summaries. A seamless offline mode with local storage and later migrates to Firebase in one click, so teams can work when reliable internet can't be reached.

  • Order‑based test execution
    Central worklist with statuses: pending, sample_collected, in_progress, completed. Technologists can collect samples, perform tests, and complete results from a unified view.
  • Structured test forms
    Built‑in forms for extensive medical laboratory tests, all aligned to a type‑safe data model.
  • Print‑ready reporting
    Consistent PrintLayout and test‑specific print components ensure professional, branded output for patient results.
  • Operational dashboards
    At‑a‑glance KPIs (patients, tests), monthly targets with progress, monthly tests bar charts, and trend statistics using ApexCharts with dynamic theming.
  • Offline mode without backend
    LocalStorage fallback, storing patients, orders, and test executions across stages offline, plus a one‑click migration utility to push local data to Firebase later.
  • Smart data hooks
    Reusable hooks (useLabMetrics, useMonthlyTarget, useMonthlyTestsChart, useRecentTests) power widgets with graceful fallback to mock data on failure.
  • Modern UX
    Responsive Tailwind UI, dark mode, componentized cards and widgets, and accessible tables.
  • Performance niceties
    Dynamic import of heavy charting libs, App Router layouts, asset optimization.

AI‑Native Enhancements

  • AI triage & risk prediction
    Predicts likely turnaround‑time delays and flags critical results using historical lab throughput, order priority, and patient context. Results are assistive and designed for clinician review- not a diagnosis.
  • Anomaly & QC detection
    Detects out‑of‑range results and instrument drifts (e.g., Westgard‑style checks) and prompts reflex testing rules.
  • Narrative result summaries
    Generates provider‑oriented and patient‑friendly summaries with clear ranges, flags, and next‑step considerations (configurable to your lab’s voice and disclaimers).
  • Cohort & population insights
    Trends by test type, demographics, and geography; identifies rising incidence patterns and seasonal spikes to aid planning.
  • Natural‑language analytics
    “Ask Halalab” chat for ad‑hoc questions (e.g., “Show STAT orders completed in <24h last week and their median TAT”), with derivations and source links.

Interoperability, Security & Compliance

  • Standards‑ready: HL7 v2 / FHIR exports, LOINC mapping, CPT/ICD support.
  • RBAC & audit: Fine‑grained roles (admin, technologist, pathologist), immutable audit logs, e‑signatures, review/attestation workflows.
  • Privacy & security: Least‑privilege access, encryption in transit/at rest, environment isolation. (HIPAA‑aligned practices; final compliance depends on deployment and BAAs.)

Extensibility & Operations

  • Instrument integrations: Pluggable drivers for common analyzers; CSV/ASTM/OEM adapters.
  • Scheduling & capacity: Bench load views, staffing hints, and predictive capacity alerts.
  • Multi‑tenant SaaS: Lab‑by‑lab isolation with shared platform efficiencies.
  • Offline‑first options: Optional PWA kiosk mode for collection sites with intermittent connectivity.
Portfolio Image

Impact

  • Faster bench operations: Clear execution worklist and status transitions reduce hand‑offs and ambiguity.
  • Consistent reporting: Print‑ready outputs minimize rework and standardize lab deliverables.
  • Frictionless offline mode: work offline seamlessly; migrate to Firebase later with one click.
  • Data‑driven decisions: AI‑assisted risk flags and trend insights improve prioritization and planning.
  • Maintainable growth: Strong TypeScript models and composable hooks make adding new tests or dashboards straightforward.


Based in Texas. Built for labs.
Whether you’re in Houston, Austin, Dallas, or anywhere in Texas, OctoTEK can build similar tools for your lab with new panels, instruments, RBAC, and AI‑powered analytics. Let’s craft your LIMS together.

Services Provided

  • UX/UI Design
  • Front-end Development
  • Back-end Development