Data Panda pulls the FHIR resources from your EHR and your own healthtech endpoints into your warehouse, alongside the rest of your business. From one place, we turn it into dashboards, automations, AI workflows and custom apps your team uses every day.
FHIR (Fast Healthcare Interoperability Resources, pronounced "fire") is HL7's modern standard for exchanging healthcare data over REST. R4 has been the widely adopted version since October 2019, with R5 landing in March 2023 for newer implementations. Where the older HL7 v2 messaging shipped pipe-delimited segments over a socket, FHIR ships JSON or XML resources over HTTPS. That is the reason it stuck.
Once you start reading a FHIR endpoint, the same handful of resources show up in nearly every implementation: Patient, Practitioner, Organization, Encounter, Observation, Condition, MedicationRequest, Procedure, AllergyIntolerance and DiagnosticReport. Resources reference each other by id and most servers expose them under predictable URLs like /Patient/123 and /Observation?patient=123, with a /metadata endpoint describing what that server supports. Every server picks its own profile.
The point of pulling FHIR into a warehouse is to put clinical data next to the things it never sat next to before: the claim that was billed against the encounter, the invoice that was paid, the rota for the shift the encounter happened on, the prior-auth turnaround for the medication that was requested. The clinical depth stays in the EHR. The cross-cuts you couldn't run before become queryable.
Encounter, Condition and MedicationRequest resources from FHIR land next to the matching Salesforce Account and Contact, so a care manager working in Health Cloud sees the last visit, active diagnoses and open prescriptions on the same record they already use to coordinate care, without bouncing into the EHR.
Each FHIR Encounter joins the invoice line in Exact Online that was raised for it, so finance sees which visits got billed, which slipped, and which were billed at the wrong tariff. The end-of-month conversation about clinical activity versus booked revenue stops needing a spreadsheet.
Practitioner and Encounter resources from FHIR sit next to the rota and headcount in HiBob. Operations sees patient volume per clinician per shift, where the rota is overcommitted and where leave is stacking up against expected demand, without exporting two reports and reconciling them by hand.
FHIR Observation results outside expected ranges, or MedicationRequest entries waiting too long on prior authorisation, post a focused message to the right Slack channel with the resource id and a link. The clinical-ops team sees the issue without keeping the EHR open in a tab.
When a care-pathway step (a Procedure waiting on a slot, a referral that did not convert into an Encounter, a follow-up Observation that never came in) crosses an SLA, a card opens on the care-coordination board in monday.com with the FHIR references attached. The pattern of recurring blockers shows up on the board, not just today's incident.
For healthtech vendors selling into clinics or running patient-engagement programmes, consented FHIR signals (a completed Encounter, a new Condition, a finished medication course) trigger lifecycle workflows in HubSpot. Patient and B2B outreach reflects what just happened in the chart, with the consent flag and audit trail kept on the warehouse side.
These are the 2 tables we currently pull from FHIR into your warehouse. Query them directly in SQL, join them to the rest of your stack, or build reports on top.
Missing a table you need? We can extend the sync. Tell us what is missing and we will build it for you.
You keep the reporting tool you already have. We connect it to the warehouse where your FHIR data lives.
OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.
Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.
We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.
We set up the foundation. Your team builds on top.
Best fit Teams that already have a BI analyst or data engineer and want to own the build.
We build the whole thing, end to end.
Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.
You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.
Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.
No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.
We review your FHIR setup and the systems around it. Together we pick the first thing worth building.