A modern hospital patient room — a wood-panelled headwall with monitor, care-team whiteboard and utilities, a hospital bed centred beside a sage-green recliner
/ industries

Healthcare

Purpose-built AI agents for claims processing, eligibility verification, and healthcare analytics.

[ featured partner ]

Lumeris keeps a HIPAA-regulated data landscape self-serve

/ healthtech/ 1,200 employees/ st. louis, mo

From proof of concept to production across analytics, finance, operations, and clinical teams in a HIPAA-compliant environment.

  • 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.
Read the full story
Lumeris

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

Operationalizing AI from population health to the revenue cycle.

The same platform, three ways it already runs inside a care organization.

01 / 03
01 population health

Stratify patient risk, track quality metrics, and build provider scorecards—all from a single question. Turn population data into actionable care management.

1
Population Health — Patient Risk Stratification
12,847
Total Patients
847
High Risk
1,234
Care Gaps
42
Avg Risk Score
HTN 3,892
Diabetes 2,341
CHF 1,247
COPD 892
CKD 567
[ healthcare payer ]

Purpose-built for payer organizations

The same platform, aimed at what a health plan actually watches.

Payment Integrity Ask a question in plain English and catch improper payments before they go out the door — duplicate claims, upcoding, unbundling, medically unlikely edits — without waiting on a rules engine update or a report from IT.
Cost of Care See where spend is actually going — by member, by condition, by network — and drill from a trend straight down to the claims driving it, in the same conversation.
Provider Analytics Build provider scorecards and network performance views on demand, comparing cost, quality, and utilization across your provider panel without a standing report to maintain.
[ built for compliance ]

Your data never leaves your environment

TextQL deploys in your cloud, on your servers, or in air-gapped environments. We meet your security requirements.

your data
EHR Systems Epic
Claims Data
Clinical Data
Your LLMs ClaudeGeminiOpenAI
Your HIPAA-compliant environment TextQL AWSAzureGCP
your teams
Clinical
Operations
Finance
[ hlth 2026 ]

Meet us at HLTH

TextQL at HLTH
/ las vegas, nv/ nov 15–18, 2026

Come see how TextQL is transforming healthcare data analytics.

Book time with us
[ try textql ]

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