Healthcare · iDBQuery
Healthcare data analytics you can just ask for
iDBQuery is Intrazero's conversational analytics platform: you chat with your databases in plain English and it builds the dashboards for you. For healthcare teams, that means bed utilization, patient flow, and operational KPIs are a question away — not a ticket in the analyst queue. Type what you want to know, and iDBQuery auto-generates the SQL, resolves the joins, and returns the answer with a chart.
This is healthcare data analytics for operations, not clinical decision-making: iDBQuery surfaces patterns in your EMR/HIS, scheduling, and administrative data so charge nurses, bed managers, and hospital executives can see what is happening across the facility. It does not give clinical advice — it gives you the operational picture, in minutes, from data you already have.
The questions a healthcare team actually asks
Most operational questions never reach a dashboard because writing the query is slower than the decision needs to be. With iDBQuery you type the question the way you would say it out loud, and it auto-generates the SQL behind the scenes — including the joins across admissions, wards, and discharge tables.
- "What is current bed occupancy by ward, and which units are over 90%?"
- "Show average length of stay this month versus last, by department."
- "How many patients are waiting for admission from the ED right now?"
- "Which day of the week has the highest no-show rate in outpatient clinics?"
- "Trend discharges before noon over the last 90 days."
Connect the data sources you already run on
Healthcare data lives in more than one place — the HIS database, exported spreadsheets, and the occasional PDF report. iDBQuery connects to all of them: upload a file or paste a connection string, and the schema auto-detects so you can start asking immediately.
Because it builds cross-source dashboards, you can combine, say, a PostgreSQL HIS extract with a CSV of staffing rosters and a Google Sheet of bed capacity into one view — without an ETL project first.
- SQL databases: MySQL, PostgreSQL, Oracle, SQL Server, Snowflake, BigQuery, and more
- NoSQL (MongoDB) for document-style EMR and event data
- Spreadsheets and exports: Excel, CSV, Google Sheets
- Documents: PDFs and Google Docs for policies and exported reports
- Cross-source dashboards that combine several of these at once
From question to shared dashboard in three steps
iDBQuery follows the same three steps for every team — Connect, Ask, Share — and healthcare operations is no exception. Once a useful answer exists, you turn it into a dashboard and schedule it to the people who need it, so the morning bed-management huddle starts with the numbers already in their inbox.
- Connect: upload files or paste a connection string; schema and foreign keys auto-detect
- Ask: type questions in English, get answers plus charts instantly
- Share: build KPI dashboards and schedule distribution to wards and management
- Scheduled reports mean recurring metrics arrive automatically, on cadence
Built to be safe with sensitive operational data
Healthcare data is sensitive, so iDBQuery is designed to be careful with it. Database credentials are encrypted at rest, and you can connect in read-only mode so analytics never write back to a live clinical or administrative system.
Read-only access means an analyst exploring patient-flow trends cannot alter the underlying records — they can ask anything and change nothing. iDBQuery is an analytics layer over operational and EMR/HIS data; it is not a clinical system and does not provide medical advice.
- Encrypted credentials stored at rest
- Read-only connection mode so queries never modify source data
- Analytics-only: operational and administrative insight, not clinical guidance
- AI-driven join resolution understands foreign keys without manual mapping
Start free, then grow with the team
You can put iDBQuery in front of a healthcare operations team without procurement. The free tier includes 1M tokens per month, 3 data sources, and 5 saved reports, with no credit card required — enough to wire up an HIS extract, a staffing spreadsheet, and a bed-capacity sheet and prove the value on real questions.
iDBQuery is one product across many domains. The healthcare team uses it for operations and KPI reporting; construction teams use the SiteMind sub-product for site intelligence, clash detection, and BIM cost tracking on IFC, BCF, Speckle, and Autodesk APS data. Same conversational engine, different data.
- Free tier: 1M tokens/month, 3 data sources, 5 saved reports, no credit card
- Natural-language to SQL with automatic schema detection
- Cross-source dashboards and scheduled distribution as you scale
- SiteMind extends the same engine to construction (IFC, BCF, Speckle, APS)
FAQ
What is conversational healthcare data analytics?
It is analytics you reach by asking questions in plain English instead of writing SQL. With iDBQuery, a healthcare operations team types a question — like current bed occupancy by ward — and the platform auto-generates the query, resolves the joins, and returns the answer with a chart. It covers operational and EMR/HIS data, not clinical decision-making.
Can iDBQuery build bed utilization and patient-flow dashboards?
Yes. You ask for metrics like bed occupancy by ward, average length of stay, or ED-to-admission waits, and iDBQuery returns the answer plus a chart. You can then save those views as KPI dashboards and schedule them to wards and management, so the numbers arrive automatically for daily huddles.
Which data sources can iDBQuery connect to in a hospital?
iDBQuery connects to SQL databases (MySQL, PostgreSQL, Oracle, SQL Server, Snowflake, BigQuery, and more), NoSQL (MongoDB), spreadsheets (Excel, CSV, Google Sheets), and documents (PDFs, Google Docs). You upload a file or paste a connection string and the schema auto-detects, and you can combine several sources in one cross-source dashboard.
Is iDBQuery safe to use with sensitive healthcare data?
iDBQuery encrypts database credentials at rest and supports a read-only connection mode, so analytics never write back to a live clinical or administrative system. An analyst can ask any question and change nothing in the source records. It is an analytics layer over operational and EMR/HIS data.
Does iDBQuery give clinical advice?
No. iDBQuery is an operational and administrative analytics tool. It surfaces patterns in EMR/HIS, scheduling, and operational data — bed utilization, patient flow, KPI dashboards — but it does not provide medical or clinical advice and is not a clinical decision system.
How do healthcare teams get started with iDBQuery, and is there a free tier?
Yes, there is a free tier with 1M tokens per month, 3 data sources, and 5 saved reports, with no credit card required. You follow three steps: connect by uploading files or pasting a connection string, ask questions in English, then build and schedule dashboards. That is enough to prove value on real operational data before scaling.
Ask your operational data anything
Connect your HIS extract, staffing sheet, and bed-capacity data, then ask iDBQuery for bed utilization, patient flow, and KPI dashboards in plain English. Start on the free tier — no credit card.
Try iDBQuery free