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Insights
Insights onHealthcare
Practical engineering writing on healthcare interoperability, applied AI, data platforms and product delivery — from the teams that build and run these systems in production.
Healthcare automation AI uses ML, NLP, RPA, and predictive analytics to streamline administrative, operational, and clinical workflows — reducing costs by 25–40% in mature...
Clinical speech-to-text is a different problem than general ASR. Background noise, overlapping speakers, and medical jargon require domain-specific models and edge preprocessing...
We chose an SFU (Selective Forwarding Unit) over an MCU topology because avoiding server-side transcoding preserves end-to-end encryption and eliminates a latency bottleneck. The...
DICOM is hard to parse in browsers because the format predates the web and uses compression codecs (JPEG 2000, JPEG-LS) that have no native browser support. WebAssembly closes...
The X12 835 (ERA) and 837 (claim) formats are structurally complex with payer-specific variations that make "standards-compliant" a relative term. Building a parser that handles...
The gap between clinical language and billing codes is the core NLP challenge. Physicians write "pulled the lower right wisdom tooth" and the system needs to produce CDT D7210...
How we built a browser-based 3D dental scan viewer: streaming STL parsing, mesh decimation, WebGL rendering on clinic hardware, and HIPAA-compliant scan storage.
A channel-agnostic message bus that routes engagement intents to SMS, email, push, or IVR based on patient response patterns is simpler to maintain than channel-specific...
Sleep study reports from different device vendors (WatchPAT, Nox T3, SleepView) have completely different layouts and terminology. You need a document classifier before you can...
We chose a hybrid tenancy model (shared application, isolated databases per location) over pure multi-tenancy or pure single-tenancy. The trade-off: slightly higher infrastructure...
Document classification (identifying which type of insurance form you are looking at) needs to happen before OCR, not after. An EfficientNet-B0 model classifying first-page images...
Real AI agent examples across healthcare, revenue cycle, finance, procurement, sales, and IT, each with the problem it solves and the measured result...
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