Articles from 2023
13 articles published in 2023.
Three Hard Truths About LLMs in Production Nobody Warned Me About
Twelve years in ML and I still got burned. Stochasticity is a systems design problem. Your target model will be deprecated. Silent failures are worse than loud ones. What production healthcare AI taught me.
What AI Agents Actually Are (And What They Can't Do Yet)
Everyone's building 'agents.' Most are just APIs with a system prompt. The precise definition, the components that matter, the failure modes I've hit, and how to pick the right pattern for your problem.
Stop Using Optional Props: Why Discriminated Unions Make Better React Components
Optional props feel flexible until they ship a runtime error to production that TypeScript should have caught at compile time. The pattern that prevents it.
CDS Hooks: What Nobody Tells You Before You Build
CDS Hooks look straightforward until you try to get them working in Epic. Six months of integration reality the documentation glosses over.
The Food Truck Method: Building MVPs That Don't Suck
Most MVPs turn into dumpster fires not because teams move too fast, but because they move fast in the wrong direction. The food truck method for building without the regret.
React State Management & Clean SPA Architecture
Redux, Zustand, Recoil, Context API. Most React apps use the wrong one for the wrong reasons. What each tool is for, when SSR changes the calculus, and how to pick without a fight.
HIPAA Consent: What Engineers Actually Need to Know
HIPAA documentation runs to thousands of pages. What engineers building healthcare apps need to know, and what's compliance theater.
Ingesting HL7v2 with ❄️ Snowflake Part 1
Snowflake's flexible compute model makes it interesting for healthcare data warehousing. A walkthrough for ingesting HL7v2 messages into Snowflake: schemas, parsing, and getting clinical data into a structure you can query.
HL7v2 Healthcare Integrations with 🫏 Mulesoft
The MuleSoft Accelerator promises a unified patient view across EHRs using FHIR and HL7v2 integrations. What that looks like in practice, where it delivers, and where you'll spend your consulting budget.
How to ingest HL7v2 Messages into Google Cloud
HL7v2 arrives over MLLP. Google Cloud Healthcare API converts it to FHIR. A complete walkthrough for capturing healthcare messages in Google Cloud, from DICOM stores to Pub/Sub triggers.
Mirth Connect: Part 2 - Adding 🐰RabbitMQ
Mirth Connect handles the transform. RabbitMQ handles the delivery. Together they make healthcare integrations durable and survivable when downstream systems go down. How to wire them up.
Mirth Connect: Part 1 - Getting Started with 🐳 Docker
Mirth Connect is how most healthcare orgs still move HL7v2 messages. Setup from scratch: configuring channels, parsing message types, sending and receiving messages without losing your mind.
Healthcare Integration For Beginners: HL7v2
HL7v2 is how most hospitals have moved clinical data for 30+ years. How it works, why it's still everywhere despite being a 1980s standard, and what you need to know before you start integrating.