Tera Bullion builds HIPAA-compliant data pipelines for medical practices: EHR, practice management, billing, and marketing systems unified in one Snowflake or Databricks warehouse. One client group went from 15 disconnected spreadsheets to a live warehouse with real-time dashboards in under three weeks — and every number their leadership reads now comes from the same place.
Your practice already generates every number leadership wants — it just generates them in five places that don't agree. The EHR has one patient count, the PM system another, billing a third. So the organization runs on the reconciliation layer: exported CSVs, hand-built spreadsheets, and the one person who knows how the April tab differs from the March tab.
One client group ran on 15 disconnected spreadsheets before their rebuild. The visible cost was the monthly fire drill of producing them. The real cost was everything downstream: decisions delayed until "the numbers are ready," meetings spent arguing about whose export was right, and every new report request landing on a team that was already underwater. Their pipeline rebuild landed in under three weeks — and the spreadsheet layer simply ceased to exist.
Buying the EHR vendor's premium reporting module deepens your view of one system. But the questions that run a practice — cost per new patient, revenue per provider against marketing spend, no-show impact on collections — span systems. No single vendor's module can see across the boundary.
Hiring someone to manage the spreadsheets institutionalizes the problem. Now the reconciliation layer has a salary, a backlog, and a bus factor of one. The data still disagrees; you've just paid someone to arbitrate.
A one-time data cleanup project produces a beautiful snapshot that starts rotting the day it's delivered. Without pipelines that refresh automatically, you've bought a very expensive photograph of last quarter.
The common failure: treating a plumbing problem as a reporting problem, a staffing problem, or a project. Until the systems feed one warehouse continuously, every fix is temporary.
Before: month-end arrives → exports begin → spreadsheets multiply → numbers get reconciled by hand and argued about → leadership decides things three weeks after the fact, on data nobody fully trusts.
After: systems feed the warehouse continuously → one set of definitions produces one set of numbers → dashboards read live → the month-end fire drill is gone, and the question "whose number is right?" stops having more than one answer.
The proof point: 15 disconnected spreadsheets to one live warehouse in under three weeks — with a leadership team that, in their own words, finally trusts the numbers.
If your practice runs on a reconciliation layer of exports and spreadsheets, this is the foundational build — the one that makes every dashboard, automation, and analysis after it cheaper. The data already exists. We make it flow.
No — that's the point. The warehouse wraps around your existing systems, pulling data through vendor APIs and supported export paths. You keep the EHR, the PM system, and the billing platform your team already knows. We make them finally talk to each other.
Compliance is designed in from the first architecture review: BAAs signed, PHI encrypted in transit and at rest, role-based access scoping who sees what, and audit logs on every pipeline. A warehouse done right is typically more controlled than the spreadsheet sprawl it replaces — spreadsheets have no audit trail.
EHR and practice management platforms, billing systems and clearinghouses, marketing tools, call tracking, spreadsheets that hold real operational data — if it has an API or a supported export path, it can feed the warehouse. The audit of what you run is the first step of the build plan.
Less than vendors want you to think, at practice scale. Both handle healthcare workloads well; the choice turns on your data volumes, your team's skills, and cost profile. We recommend based on your situation and build it in your accounts either way — you own it outright.
Weeks, not quarters. One client went from 15 disconnected spreadsheets to a live Snowflake warehouse with real-time Tableau dashboards in under three weeks. Data access is the timeline driver — once system exports are open, the build moves fast.
It becomes a new source feeding the same warehouse — an extension, not a rebuild. That's the compounding value of doing the foundation once: every future integration, dashboard, and automation lands on plumbing that already exists.
Scoped to your systems and data volumes, which is why we start with a free build plan rather than a rate card. Tell us what you run and what you can't currently see, and we'll map the architecture, the timeline, and the spreadsheet count it retires.
Tell us how this works in your operation today. We'll send back a build plan — no pitch deck, no fluff, just engineering.
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