HIPAA-ready AI on Epic and finance data, inside your own Azure tenant
Hospital leaders want a ChatGPT-style assistant that answers questions from Epic, Workday and finance data. Security teams ask for four things first: patient data stays in your Azure tenant, a BAA is in place, every answer can be audited, and the assistant cannot change source systems. Databasin Private installs from the Azure Marketplace into your own tenant. Answers are read-only, each one shows the SQL behind it, and every question and query is recorded. You choose the model: Azure OpenAI in your subscription, Claude, or one your organization already approved.
Routes hospitals consider for AI on patient and finance data
Most health systems compare a few routes before choosing. Each fits a different starting point, and several can work together.
| Route | Fits when | What to check |
|---|---|---|
| Build on Azure OpenAI | Your team has engineers to build the application, retrieval, permissions and audit trail itself. | Microsoft offers its HIPAA BAA for Azure services through the Data Protection Addendum. The application, data access and logging remain yours to build and operate. |
| Microsoft Copilot Studio | Questions centre on Microsoft 365, SharePoint and Power Platform content. | How Epic and finance tables reach the agent, and whether answers need governed SQL definitions. |
| ChatGPT for Healthcare | Clinicians and staff need a general assistant for documents, writing and research. | OpenAI lists it as BAA-eligible. Confirm how it would reach warehouse data and where queries would run. |
| Snowflake Cortex Analyst | Epic and finance data already sit in Snowflake with a semantic model. | It returns generated SQL and runs in your Snowflake account. Pipelines, definitions and rollout are separate work. |
| Databricks Genie | Your curated tables already live in Databricks Unity Catalog. | Users can open the generated SQL, and access follows Unity Catalog. Someone still has to land and model the Epic data. |
| Databasin | You want the Epic and Workday connections, governed definitions and the assistant implemented together in your Azure tenant. | Our team implements the first use case with you. Databasin does not yet hold its own SOC 2 report; the trust center lists what we provide. |
What the assistant does with hospital data
Design, Build, Run
We take responsibility for the work from defining the outcome through implementation and ongoing support.
Design
We define the outcome, current processes and expected return with your stakeholders. A working example shows how Databasin would answer your business questions.
Build
We get your first use case live in 90 days. Communication, rollout, training and success measurement are included in the work.
Run
Choose the help you need after launch. We can run the solution for you, provide monthly support hours or stay on call.
Controls around each investigation
Declared inputs
Specify the inputs a saved investigation needs before its task runs.
Saved instructions
Pin the skill version used for a recurring investigation and retain earlier versions.
Connection scope
An investigation reads only the records exposed through the connection assigned to its task.
Query budget
A query budget limits how many queries the investigation can make in one run.
Turn limit
The turn limit bounds the work a run can perform on its instructions.
Row cap
A row cap restricts how many records the query tools return to the investigation.
Examples: questions on sensitive business data
Clinical activity
A healthcare team can investigate prepared activity measures through the access, model route and agreements established for its deployment.
Financial explanations
A finance colleague can investigate a movement in a shared measure, then use the attached calculation when discussing the explanation.
Scheduled reviews
The responsible team can receive a repeated review with supporting queries, then examine the evidence when a finding needs discussion.
What happens next
We would like to hear where your team wants to make progress with data and AI. We can discuss a project you have in mind or explore where Databasin could help with the work.
What happens next
Book a demo
Book a conversation about your organization and the work you want to improve. Questions about where to start are welcome.
Explore the opportunity
We show a working example that answers your business questions, then discuss what it would take to deliver it for your team.
Get the first result
After agreeing the first use case, we implement it with your team. We train the people using it and measure how it performs.
FAQ
Can a hospital give leaders a ChatGPT-style assistant on Epic data?
Yes, when the deployment answers the security review. With Databasin, the assistant runs in your Azure tenant, reads governed views built from Clarity, Caboodle, Workday and finance sources, and shows the SQL behind every number. It cannot write to source systems, and each question and query is recorded for audit. A BAA is available.
Does choosing ChatGPT or Claude make an application HIPAA compliant?
No. The model name alone does not establish HIPAA compliance. The deployment, agreements, data flow and operating procedures matter. Databasin is HIPAA-ready and offers a BAA; our team works through the proposed application's model route and controls for protected information.
What can your team provide for an AI security review?
We can walk reviewers through the proposed data and model path, including its architecture, source permissions, identity and query records. Available agreements and the status of supporting documents are described in the trust center. The discussion concerns the configuration intended for your work.
Can we choose the model used for business questions?
Yes. We configure a connector for the chosen model, including GPT, Claude or an internally approved model. Its endpoint determines where the request is handled. Choosing a different model leaves the business-data permissions in place; it does not make more records available.
Does Databasin have its own SOC 2 report?
Databasin does not currently hold its own SOC 1 or SOC 2 report. The trust center records the current status and available review material. A parent company's certification is not presented as a report covering the Databasin entity.
Can AI be useful before all our source data is cleaned?
Yes. We can prepare the subset needed to answer one defined business question. That work includes its joins, definitions and quality checks. The application then uses those maintained views, while later work adds other sources as the questions expand.
Does Private deployment automatically keep every model request inside Azure?
No. Private deployment places Databasin in your Azure tenant; the model connector selects the endpoint that processes a request. We include that endpoint in the application design and establish what information it may receive. Both parts matter to the data path.
Can people check a document answer against the original text?
Yes. A page citation lets the reader inspect the passage supporting the answer. That is useful when a document contains qualifications that a summary cannot fully express. Access to the source remains part of the configured document and permission setup.
Do findings automatically become business decisions?
No. An investigation supplies an explanation and evidence for people to examine before acting. If the agreed business process calls for an automated operation, we configure that separately. The operation has its own purpose and permissions; it is not a write capability added to the investigation.
Microsoft · HIPAA and the HITECH Act · Accessed November 2026
OpenAI · ChatGPT Healthcare and regulated workspace functionality · Accessed November 2026
Microsoft · What is Copilot Studio · Accessed November 2026
Snowflake · Cortex Analyst · Accessed November 2026
Databricks · Use a Genie space · Accessed November 2026
Discuss AI for your business questions
We can discuss the questions people want to ask and the data they would need to answer them. Our team can explain how Databasin would prepare that data, configure the controls and make the resulting answers useful.