Healthcare data warehouse
Your teams can investigate clinical, financial and workforce questions together using a shared healthcare data foundation. Databasin connects the sources, prepares the definitions and builds the applications people use to explore them. Our team implements the work around your organization, including rollout, training and ongoing support.
Shared data for healthcare teams
We bring the records needed for a business or research question into a shared model. Epic can supply clinical activity, Workday can supply finance and workforce history, and sources such as REDCap can contribute research records. We establish the relationships and definitions that make those records useful together.
Databasin was built in production at WashU Medicine. Our team uses that experience to prepare local source data for other institutions. Departments can explore shared views and ask questions against the measures, while analysts inspect the records and calculations behind them.
What the foundation makes possible
Cross-department analysis
Review clinical activity with workforce and finance records under the definitions and periods the question needs.
Research investigation
Explore prepared research records together and inspect the SQL attached to answers from plain-language questions.
Recurring workflows
Schedule preparation and delivery so the next operating or research review can use the work already completed.
How do records become shared measures?
Source records are retained, then Databasin applies mappings and calculations to build the business views. Applications and reports query those views. Length of stay, for example, uses the institution's own definition in that preparation. Analysts can inspect the calculation while colleagues explore its measure in a Data App or ask Databasin One about it.
Implementation for the people using it
We build the source connections, measures and applications around the result defined during Design. That phase establishes the current process and expected return. The implementation includes communication, training and success measurement so departments can put the work into use.
Databasin can run in your Azure environment or alongside Databricks, Snowflake or Microsoft Fabric. After launch, we can operate the solution, provide monthly support hours or stay on call. That arrangement supports adoption of the first application and further uses of its data.
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
Is a lakehouse suitable for this healthcare warehouse role?
Yes. Databasin's lakehouse prepares records from connected systems for analytical use. We implement the sources and definitions required by the healthcare question. Its governed views then supply reports, applications and plain-language analysis.
Which part of Epic supplies records to the foundation?
Clarity supplies the main extraction route, with Caboodle also supported where present. The records needed by the application and the institution's source coverage determine the choice. We implement the local mappings for that route.
How does source timing affect a combined healthcare view?
A combined view uses the records available from each completed source extraction. Clarity generally refreshes nightly. We design the preparation and reporting periods around those schedules so the reader can understand what the view represents.
How can historical workforce assignments be retained alongside clinical activity?
Workday's effective-date history records the assignments that applied at different times. Databasin preserves that history and selects the values for the analysis period. Those records can then be related to clinical activity for the same period.
Can a researcher use the prepared records without learning Clarity tables?
Yes. Governed views contain the joins and definitions needed by the question. Databasin One queries them in response to ordinary language and attaches its SQL and sources. A researcher or analyst can inspect that evidence with the finding.
What if a department needs a different definition for a particular review?
We examine the purpose of the measure with its owners and implement the corresponding calculation. Distinct questions can retain distinct definitions where needed. The view identifies which measure is being used for the review.
Will we be able to use other engines on the stored data?
Yes. Open table formats such as Apache Iceberg hold the synced records. Compatible engines can read those tables. We establish the query connections needed by the applications and tools in your environment.
Can the deployment support our review of protected health information?
Yes. Databasin is HIPAA-ready, with a BAA available. We discuss permissions, model endpoints and deployment with security owners. Databasin Private can run inside your Azure tenant with your storage, keys and network.
Do we need to replace our existing clinical dashboards at the start?
No. Useful dashboards can remain while we prepare the source relationships and measures needed for the next application. Supported BI connections let the existing reporting tools use those governed tables.
Can the first project focus on one healthcare department?
Yes. We can define the first use case around one department's outcome and the records required for it. Further applications can reuse the preparation when it fits, adding the sources or measures their questions need.
Discuss your healthcare data needs
We can talk about the data your teams use, the questions that cross departments and the work needed to connect them. Whether you have a defined project or are exploring possibilities, we can discuss where Databasin would help.