How Do LLMs Generate Structured SOAP Notes? A Technical Breakdown
Ask an LLM to summarize a patient encounter as a SOAP note, and it will. The note will read fluently, follow the right headings, and sound clinically plausible. None of that tells you whether it's usable in production — and for teams evaluating or…
How Does Speech Recognition Actually Work in AI Medical Scribes?
Every AI medical scribe starts with the same unglamorous problem: turning sound into text accurately enough that a clinician will trust what comes out the other end. Consumer-grade speech recognition gets nowhere close on its own. The gap between…
Build vs Buy AI Medical Scribe Software | Cost & ROI Guide
Building an AI medical scribe is not a software development project. It is a six-layer clinical AI engineering program — acoustic capture, speaker diarization, clinical ASR fine-tuning, NLP entity extraction, LLM SOAP note generation, and FHIR EHR…
Why Healthcare Interoperability Projects Fail
Here is the number nobody wants to say out loud: most healthcare interoperability projects fail. Not because FHIR is broken. Not because the technology doesn't exist. They fail because the organizations running them solve the wrong problem with…
Clinical Trial Data Validation Best Practices
The dataset that goes into a regulatory submission is only as trustworthy as the validation processes that produced it. Data validation is not a QA step you run at database lock — it is an architecture that must be designed, implemented, and…
Challenges in Real-Time Medical Transcription
A 15-minute clinical encounter produces approximately 2,000 spoken words across two or more speakers in an acoustically imperfect environment, often including medical terminology that general-purpose speech models have never encountered. Getting…
Common Problems in Clinical Data Capture Systems — & How to Fix Them
A clinical data capture system is only as good as the data it collects. Garbage in, garbage out — and in a regulatory submission, garbage out means a Complete Response Letter, a 483 observation, or worse. Most clinical data quality failures are not…
Common Challenges in FHIR Integrations
FHIR (Fast Healthcare Interoperability Resources) is the ONC-mandated standard for healthcare data exchange — but the specification's inherent flexibility, combined with EHR vendor deviations, evolving profile requirements, and the complexity of…
How to Build Scalable eCRF Systems
The eCRF system you build in the first sprint will serve a 3-site, 80-subject pilot. The one you need two years later will run an 80-site, 12,000-subject Phase III trial across 15 countries. These are not the same system — unless you make the right…
