Hay on FHIR

Representing a workflow

In the previous post we looked at how we can use AI to help generate sample resource graphs to represent specific scenarios in a conversational manner by supplying the scenario as an initial prompt, then examining the response from the AI (both manually and using a FHIR validator) and requesting changes. The intended purpose being as a training tool for people learning FHIR, and also as a ‘quick start’ for designers.

This works well (I think) when there is a single specific scenario – for example modelling a clinical interaction, but falls short when considering a workflow like the steps involved when ordering a laboratory test, making a referral or creating a prescription. In this post we’ll consider how we can extend the functionality to model the multiple steps within a workflow.

clinFHIR does AI

I thought I’d see how useful the current AI models are in producing a FHIR bundle of resources that represents some – likely clinical – scenario to help those learning FHIR. I wanted to have a conversational interaction so that the bundles created can be viewed and refined, and a way for the AI to explain the choices it made when processing the input prompt and generating the bundle. The resulting bundle would be validated using the FHIR Validator.

TLDR: They are surprisingly good!

Bundle Viewer gets a timeline

Thanks to an excellent suggestion from my friend Peter Jordan, the clinFHIR Bundle Viewer can now display the resources within a Bundle – such as an IPS document – on a timeline. 

Updates to clinFHIR

I’ve just published an update to clinFHIR – well, not so much an update as a re-packaging of the underlying codebase into docker containers, and rationalizing the number of servers I’m using. 

As part of the update I’ve replaced the front page (with a little help from AI) and only included the apps that I believe people are actually using (and actually still work!). Let me know if there’s any I’ve missed)

The previous version of clinFHIR is still available here, and Graph builder is here. I’ll leave them up for a month or so in case of any issues, but then they will be removed – likely around the end of August 2026.

If you do have any issues/questions/concerns then raise them on the zulip chat.

Definition based resource extraction

In this post we’re going to take a closer look at SDC definition based resource extraction from a completed Questionnaire.

SDC (Structured Data Capture) is an Implementation Guide that describes and expands the use of the FHIR Questionnaire resource in defining forms to display and capture structured information. As well as visual and behavioural enhancements it defines mechanisms for pre-population of data as well as extracting it to FHIR resources that we’ll discuss here. (We’ll take a look at pre-population in another post).

Bundle Viewer update

The Bundle Visualizer module in clinFHIR has been around for a while. It allows you to view the contents of a FHIR bundle in a number of ways, and can also validate the contents. As part of a general update to clinFHIR that I’m working on, I’ve taken the opportunity to ‘refurbish’ and rename it to Bundle Viewer. This post describes the main changes.