
Noblq
Healthcare runs on the hardest data in America. That's where we work.
Medicare reporting, private-equity-grade analytics, predictive models, and the platforms that hold a health system together. The regulated, unglamorous work that decides whether a healthcare operation makes money, passes its audits, and keeps its beds full.
Sector expertise: we speak Medicare
Most technology partners treat healthcare as another vertical. US healthcare finance is its own language, and fluency is the price of entry.
Every facility that touches Medicare or Medicaid answers to CMS, and the answering is not billing. It is the cost report: audited financials broken down by facility, department, and patient type, mapped to allocated wages and overhead, then benchmarked against every comparable facility in the country to set what gets reimbursed. Get it wrong and the settlement moves against you. On the private side, every procedure code carries a different negotiated rate with every insurer, so two identical procedures earn very different revenue and most operators cannot see which.
We work inside that every day, all of it HIPAA compliant.

What we do
- 01
Medicare, Medicaid, and CMS reporting systems.
Cost-report engines that allocate audited financials by facility, department, and patient type, and stand up to CMS validation.
- 02
Private-equity diligence and post-acquisition analytics.
Operational data reconciled against the financials to find the efficiency headline numbers hide, then dashboards and ERP oversight after close.
- 03
Predictive models in production.
Census and care-duration forecasting, medication logistics for cold-chain drugs, and wound-care risk scoring, on trusted data with humans owning the decisions.
- 04
Pharmacy and PBM finance data.
Governed finance data marts and adoption analytics, where a one-percent shift in behavior is worth millions and nobody can currently see it.
- 05
Healthcare platform operations.
Multi-vendor EHR intake unified onto one ServiceNow platform with AI-based routing, retiring end-of-life platform risk in the same move.

Nurse App Adoption Analytics
A nationwide pharmacy network of 18,000-plus nurses could not see who was not using its ordering app. Nurse-level dashboards make a 1% order shift worth an estimated $1.4M to $2.5M a year.

PBM Finance Data Mart
A Pharmacy Benefit Manager's Finance team waited 3 to 6 business days for every client answer. A self-service data mart made it same-day, protecting a $10M-plus contract at renewal risk.

Medical Device Lifecycle Platform
A leading infusion pump manufacturer ran service tickets and product lifecycle as separate manual processes. Both now run on one Salesforce platform, with 95% of records updating automatically and lifecycle delivered on time.
Bring us the data problem your last partner declined.
A cost report that keeps fighting you, an acquisition that never quite integrated, a prediction you wish you had a quarter earlier. We will show you where the value is and what it takes to get there.