Case studies

Shipped in production. Not slideware.

A decade building clinical AI that runs in production: ambient scribes, document pipelines and the workflow infrastructure behind platforms healthcare leaders already trust. Real architectures, real numbers, with the guardrails healthcare requires.

How we build

10+

Years building clinical AI

Case studies & deep-dives

Production systems detailed

30K

Live rows rendered in-browser

Featured deep-dive

Deep-dive8 min

AI clinical documentation for behavioral health

AI-assisted documentation that listens to the visit and drafts a structured, evidence-mapped clinical note in near real time, built on AWS HealthScribe and Amazon Bedrock, with the clinician always in control.

AI documentationAWS HealthScribeAmazon BedrockBehavioral Health

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Engineering deep-dives

10 articles

Deep-dive12 min

Conversation Capture: streaming audio in React Native

Low-latency capture, chunked buffering and a resumable, network-aware upload pipeline for real-time clinical conversation capture.

React NativeReal-time AudioStreaming

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Deep-dive14 min

React Performance Optimization

Core Web Vitals, the rendering pipeline, React 18 concurrency, and the memoization, splitting and key strategies that actually move the numbers.

ReactPerformanceReact 18

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Deep-dive15 min

Production Document Intelligence with AWS Bedrock & Azure AI

Combining AWS Textract, Azure Document Intelligence and Bedrock (Claude / Nova) to turn raw documents into structured data at scale.

AWS BedrockAzure AI.NET

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Deep-dive6 min

Why mobile is a game-changer for community healthcare

How a mobile-first, AI-scribe approach solves healthcare’s “last-mile” problem, giving clinicians their evenings back.

React NativeMobile-firstAI Scribe

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Deep-dive11 min

Offline-first: a clinical app that works with zero signal

Encrypted, offline-first clinical documentation in React Native: local auth with no stored key, state persistence on SQLite, and conflict-free sync the moment a signal returns. Two open-source libraries came out of it.

React NativeOffline-firstEncryptionRedux

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Deep-dive10 min

Reverse-engineering a 16-year-old behavioral-health EHR

Embedding into a sixteen-year-old EHR built on a proprietary, undocumented language: reading 700-line stored procedures, fixing an HL7 lab-routing bug, and shipping clinical, billing and scheduling modules.

Legacy systemsSQLHL7EHR

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Deep-dive11 min

One clinical-notes editor for web, mobile and desktop

Running a single rich-text clinical editor everywhere (Quill on the web, the same editor bridged into React Native through a WebView with async message-passing, and packaged for desktop with Electron), plus offline capture with selective, CPU-frugal encryption.

ReactReact NativeRich textOffline-firstElectron

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Deep-dive12 min

Rendering 30,000 live rows: a real-time logistics grid in React

Modernizing a legacy Windows-Forms logistics system into a React app that renders 30,000 records across virtualized grids, holds the full dataset in IndexedDB for consistency, and streams hundreds of real-time vehicle events a minute onto interactive maps.

ReactVirtualizationIndexedDBReal-timeLeaflet

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Deep-dive13 min

Inside InterSystems Caché: multidimensional globals under a behavioral-health EHR

How Caché stores data as hierarchical, addressable globals instead of joined tables, plus its MUMPS heritage, the ObjectScript layer, and the backend, electronic forms, batch automation, interoperability and reporting we engineered on it for a high-volume behavioral-health EHR.

InterSystems CachéMUMPSObjectScriptHealthcareInteroperability

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In production

Each study goes deep on one system from our work: the architecture, the trade-offs, and the numbers behind it.

01Healthcare AI

Integrated Clinical Intelligence Suite

A next-generation healthcare ecosystem that bridges the clinical encounter and patient recovery with integrated AI, combining ambient documentation with proactive patient monitoring.

Virtual ScribePatient MonitoringRisk Stratification

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02Healthcare AI

Transforming Clinical Documentation

Automating clinical documentation with AWS HealthScribe to reduce administrative overhead, intelligently converting medical dictation into structured, audit-ready clinical notes.

AWS HealthScribeComprehend MedicalHIPAA & Audit

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03Healthcare AI

Implementing AWS AI Services

A technical deep-dive into standardizing AI infrastructure using AWS Bedrock and HealthScribe, bridging heterogeneous legacy systems with modern generative capabilities while controlling cost.

AWS BedrockClinical WorkflowsOperational AI

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04Healthcare AI

A Conversational Clinical Copilot

A conversational copilot embedded in the notes workflow: clinicians ask in plain language, summarize free text in one step, and review AI-drafted note entries backed by transcript evidence and confidence scores.

Conversational AIEvidence-GroundedClinical Documentation

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05Healthcare AI

AI-Powered QA in Healthcare

How agentic AI gave a healthcare billing QA team a living source of truth: 100% requirements traceability, 70% faster reviews, and audit prep in days, not weeks.

Agentic AIQA & TraceabilityHIPAA Audit

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The stack behind the work

AI documentationAWS HealthScribeAmazon BedrockBehavioral HealthReact NativeReal-time AudioStreamingReactPerformanceReact 18AWS BedrockAzure AI.NETMobile-firstAI ScribeOffline-firstEncryptionReduxLegacy systemsSQLHL7EHRRich textElectronVirtualizationIndexedDBReal-timeLeafletInterSystems CachéMUMPSObjectScriptHealthcareInteroperabilityVirtual ScribePatient MonitoringRisk StratificationComprehend MedicalHIPAA & AuditClinical WorkflowsOperational AIConversational AIEvidence-GroundedClinical DocumentationAgentic AIQA & TraceabilityHIPAA Audit

Built by the team behind clinical platforms at Netsmart, eVisit and The Change Companies.

A 30-minute call. We map the clinical workflow and the compliance bar, then walk through how our healthcare AI fits, so the next decision is easy.

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