TextQL raises $17M — Read the announcement Read now →
How Lumeris Maintains Strict Regulatory Standards With TextQL’s Speed and Ease
Lumeris partnered with TextQL Healthcare to bring analytics directly into a HIPAA-regulated environment spanning claims, clinical, operational, and star ratings data.
8 months
From POC to production platform
3
Business lines with self-serve analytics
0
Analyst on-call burden for ad-hoc reports
"If your organization or users are tired of manual process and steps in order to get powerful insights and analytics, using TextQL will help your users accomplish that in a matter of minutes."
Anna Libers, VP of Product and Solution Management, Lumeris
About Lumeris
Lumeris is a healthcare transformation company helping health systems and provider groups deliver high value patient care.
Industry
Healthtech
Company Size
~1,200 employees
Headquarters
St. Louis, MO
Pain Point
Every new question meant a ticket to an analyst, rounds of clarification, and a two-to-three day wait — across a HIPAA-regulated data landscape
Products Used
Data Sources
Redshift, Tableau, Microsoft Office, PDFs
See how TextQL works in regulated environments
TextQL deploys in your private cloud with HIPAA-compliant infrastructure from day one.
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Lumeris partnered with TextQL Healthcare to bring analytics directly into a HIPAA-regulated environment spanning claims, clinical, operational, and star ratings data. What began as a proof of concept in Q3 2025 became a production platform by early 2026.
Every new question meant a ticket to an analyst, rounds of clarification, and a two-to-three day wait. Leadership needed analytics that came to the user, not the other way around.
[ THE PROBLEM ]
Complex Regulated Healthcare Data + BI Tools That Couldn’t Keep Up
Static dashboards couldn’t keep up with the speed of a healthcare organization managing three distinct business lines, each with its own data systems.
Every question meant a ticket. Every ticket meant a wait.
AD-HOC DATA REQUESTS ACROSS THREE BUSINESS LINES
Incoming data requests →
→ Outgoing
~4 req/day in
~1 req/day out
Data Team
ANALYST
Queued
0
Processed
0
Analysts
1
Avg. wait
2–3 days
FIG. 01 — BEFORE TEXTQL
Lumeris is a leader in value-based care and primary care AI, operating across health plans, health systems, and medical groups enabling improvements in cost, utilization, risk and quality measure performance. That breadth creates a massive, complex data landscape, spanning claims, clinical, operational, and star ratings. To wrangle it, Lumeris built Tom, an AI-powered Primary Care as a Service platform that automates workflows, surfaces clinical decision support, and improves care coordination.
But analytics remained a bottleneck. Every new question meant a ticket, rounds of clarification, and a two-to-three day wait. Clients needed answers that came to them — not a queue.
"Before TextQL, it took users multiple steps trudging through a number of reports in order to connect the dots and find where the opportunities and insights lie. Now, they no longer have to do that."
Anna Libers, VP of Product and Solution Management, Lumeris
[ THE RESULTS ]
What Changes When Regulated Healthcare Data Becomes Self-Serve
TextQL’s integration with Tom is now part of Lumeris’s weekly operations, driving significant value across multiple departments.
Analyst on-call burden for ad-hoc reports eliminated
Non-technical users independently run complex healthcare analyses through Tom. The ticket-to-analyst-to-report cycle that took days is gone.
Claims forecasting reduced from days to minutes
Users look at performance analytics, costs, and trends, then within a few prompts drill into more detailed questions: identifying patients, finding gaps, spotting opportunities. What used to take multiple reports and days of analyst time now happens in a single conversation.
Executive JOC reports automated
Real-time PMPM and cost trend analysis generated on demand, replacing manual compilation. Star ratings forecasting for Essence Health and care gap identification for medical groups now run through Tom.
Every query passes through the compliance stack.
HIPAA-COMPLIANT QUERY PIPELINE — NO EXCEPTIONS
GATE 1
PHI Boundary
✓
GATE 2
RBAC Check
✓
GATE 3
Audit Log
✓
GATE 4
Data Entitlement
✓
DELIVERED
Answer
FIG. 04 — COMPLIANCE GATEWAY
TextQL delivers compliant AI analytics for even complex, regulated industries like healthcare. The platform understands the PHI boundary, correctly identifies what can and cannot touch PHI, and makes conservative calls.
Lumeris is expanding TextQL across business lines to accelerate data-driven decisions, and growing the partnership. The same architecture that satisfies HIPAA — private cloud deployment, data residency controls, role-based access, audit trails — translates directly to financial services, insurance, and any industry where compliance is non-negotiable.
"When we first saw value with TextQL, it was incredibly impressive. Users could look at performance analytics, costs and trends, and then within a few prompts quickly ask more detailed questions, identify patients, where their opportunities are. Now they no longer have to trudge through a number of reports in order to connect the dots. This is real and we’re incredibly excited about it."
Anna Libers, VP of Product and Solution Management, Lumeris
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