Plain-language data preparation
Describe the data you need; JAS finds the tables and fields and writes a query your analysts can review and reuse.
- Industries
- Healthcare & life sciences
- EHR & Hospital Information System Users
EHR & hospital information systems
Custom reports from your EHR —
Custom reports from your EHR —
without hunting through hundreds of tables.
TURBOARD connects directly to your EHR or hospital information system database. JAS finds the tables and fields a question needs, writes the SQL and prepares the data view, so your team analyses instead of waiting for a specialist.
Video
Watch JAS navigate a sample EHR database
JAS works through a sample EHR database known for its complexity: from one plain-language request she identifies the tables and fields involved, writes the query and prepares a data view — work that otherwise takes hours of table hunting and hand-written SQL.
The challenge
Your EHR holds the answers, behind hundreds of cryptic tables.
Systems such as eClinicalWorks (eCW) and most hospital information systems run on databases with hundreds of interconnected tables and field names that only a few people understand. Standard reports cover the routine; any custom question goes into a queue for a scarce specialist, and decisions are made while the report is still being written.
TURBOARD puts an AI assistant between your team and the schema. JAS navigates databases with thousands of tables, generates the SQL a request needs and turns the result into a data view you can explore. Combine it with billing, laboratory and finance data and keep definitions governed — with data, and the AI model itself, able to stay fully on-premise.
500K+business users work with TURBOARD
Since 2004enterprise BI engineering, founded in Chicago
Cloud or on-premisefully on-premise deployment, AI included
PatentedBI technology, including a granted US patent
What you can do
What your team can do once the data view is ready
Custom dashboards and ad-hoc analysis
Drag-and-drop dashboards, drill-down and conditional formatting on top of EHR data, for questions standard reports never anticipated.
Quality improvement tracking
Measures by clinic, provider and patient group, compared with the same days last month or last year, so improvement work is measured as it happens.
One view across systems
EHR data joined with billing, laboratory, scheduling and finance sources in one model, for a complete view of patient journeys and practice performance.
Governed definitions
Curated views and reusable calculated measures mean every report counts a visit, a patient or a no-show the same way.
Controlled distribution
Row-level permissions and scheduled reports send each clinic and provider their own figures by e-mail as PDF or Excel.
Challenges & solutions
Where EHR reporting gets stuck — and how TURBOARD helps
?Complex, cryptic schemas
Finding data across hundreds of tables needs deep, costly technical expertise and a lot of time.
✓JAS does the table hunting
Ask in plain language: JAS discovers the relevant tables and fields and generates the SQL that prepares your data view.
?Inflexible standard reports
Built-in reports rarely fit a specific quality programme, an operational question or a one-off analysis.
✓Analysis on your terms
Once the data view exists, build dashboards, slice and drill down, and add calculated measures in SQL or Python Pandas.
?EHR data in isolation
Combining the EHR with billing, labs, scheduling or finance is usually a manual export-and-merge exercise.
✓Connected sources
Native connectors and APIs bring the EHR database and other systems into one governed model that stays current.
?Sensitive data and outside AI
Patient data cannot simply be sent to an external AI service for analysis.
✓On-premise, including the AI
TURBOARD and JAS can run entirely inside your infrastructure on offline language models, air-gapped if required.
JAS · Just Ask Simply
Ask the EHR a question — not the specialist
JAS, the AI assistant built into TURBOARD, learns your database from its fields, your governed views and the context your team curates. She checks for an existing trusted report first, answers with its source, and otherwise writes the query, builds the chart and edits it on command. JAS Explain then writes an interpretation of the result for the reader’s role.
Explore JAS capabilities →JJASQuestions you can ask
- How many diabetic patients had no HbA1c result in the last six months, by clinic?
- Show the no-show rate by provider and weekday for this quarter.
- List patients with three or more emergency visits this year and their primary care provider.
- Compare average appointment lead time across our clinics with the same period last year.