InsightsShort reads on shipping reliable software for healthcare, cybersecurity, and AI — guardrails, architecture, and practical lessons from real systems.
A practical SaaS architecture guide covering modular monoliths, multitenancy, data ownership, APIs, queues, observability, schema migrations, scaling, reliability, deployment, and when to extract microservices.
Why serious software benefits from familiar technology, explicit state, narrow permissions, durable identifiers, audit trails, repeatable deployments, and architecture that can explain what happened.
A practical guide to low-downtime healthcare data migration covering source inventory, EHI and FHIR export, patient identity, mapping, delta sync, documents, reconciliation, rollback, testing, and cutover.
A practical guide to when healthcare software vendors need a Business Associate Agreement, including cloud hosting, IT support, AI, OCR, subcontractors, conduits, patient-directed apps, tracking technologies, and vendor due diligence.
A practical guide to telehealth platform development covering patient and provider workflows, video infrastructure, scheduling, EMR integration, HIPAA, security, payments, testing, cost, and build-vs-buy decisions.
A developer-focused checklist for building a HIPAA compliant patient portal, covering identity, MFA, authorization, sessions, audit logs, files, vendors, BAAs, backups, incident response, testing, and patient access.
A practical enterprise guide to RAG vs fine-tuning covering when to use retrieval, when to tune model behavior, when to use neither, hybrid architectures, security, cost, latency, evaluation, and production failure modes.
A practical guide to AI lab report analysis covering OCR, FHIR and HL7 inputs, analyte extraction, LOINC mapping, units, reference intervals, trend analysis, validation, human review, evaluation, HIPAA, and clinical decision-support boundaries.
A practical guide to EMR integration covering FHIR, HL7 v2, C-CDA, vendor APIs, patient matching, safe writes, idempotency, reconciliation, HIPAA, testing, cost, and implementation.
A practical HL7 vs FHIR guide covering HL7 v2 messages, FHIR resources and APIs, SMART on FHIR, R4 vs R5, mapping, coexistence architecture, testing, security, and production integration lessons.
A production guide to AI document processing covering OCR, layout analysis, tables, intelligent extraction, structured outputs, field validation, human review, evaluation, healthcare data, and workflow integration.
A practical engineering guide to voice AI latency covering endpointing, WebRTC, streaming audio, realtime models, tool calls, barge-in, telephony, latency budgets, p95 monitoring, and production optimization.
A practical healthcare LLM evaluation framework covering context of use, harm modeling, datasets, task-specific metrics, graders, RAG, clinical outputs, tools, subgroups, release gates, and continuous monitoring.
An engineering field report on the recurring reliability lessons from 16+ production AI agents: system boundaries, structured outputs, contextual evals, human review, latency, tool safety, tracing, and recovery.
A practical guide to LLM structured outputs covering JSON Schema, strict function calling, schema design, TypeScript implementation, domain validation, versioning, evaluations, and production lessons.
A practical guide to ambient AI medical scribes covering audio capture, transcription, clinical extraction, note generation, failure modes, validation, clinician review, EHR integration, HIPAA considerations, and implementation.
A practical AI-agent cost guide covering prototype and production budgets, project types, integrations, guardrails, evaluation, monthly operating cost, timelines, and build-vs-buy decisions.
A production guide to reducing LLM hallucinations with grounded evidence, structured outputs, deterministic validation, permissioned tools, prompt-injection defenses, evaluations, monitoring, and human escalation.
A practical guide to HIPAA-compliant software development covering PHI data flows, risk analysis, access control, auditability, encryption, BAAs, secure delivery, incident response, and the current regulatory direction.
A practical guide to healthcare AI voice agents: patient intake workflows, architecture, latency, safety guardrails, EMR integrations, build-vs-buy decisions, timelines, and realistic development costs.
A practical guide to building production AI agents with controlled architecture, structured outputs, guardrails, evaluations, observability, latency engineering, and realistic cost ranges.
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