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OpenCredence

Build a higher-trust hospital network from verified evidence.

OpenCredence gives insurers and TPAs one view of provider quality. It scores and monitors hospitals on accreditation, infrastructure, outcomes and patient signals, with every signal traceable.

A coastal city skyline with an OpenCredence quality score floating above each hospital building.
Built for
InQuantic product
Sector
Insurance
Platform
Web platform
Status
Independently tested in the GIC test
See it live
opencredence.in

The problem

Payers and providers spend billions together. Trust is still negotiated manually.

Provider signals sit scattered across registries, accreditation bodies, PDFs and review platforms. Decisions about who to empanel, prefer, review or pay come out of phone calls and follow-ups.

And later, nobody can say which document or signal a decision came from.

Three cards: no unified provider view, manual verification, and no traceability.

Our approach

Earn the score. Then show your working.

A single number is only useful if a reviewer can defend it. So we treated the score as the last step of a verification pipeline, with weighting that is transparent and thresholds the payer defines.

Every record passes eight gates: identify, discover, ingest, normalize, verify, enrich, corroborate and score.

What we built

One provider. Hundreds of signals. One view.

  1. Hospital profile

    A decision-ready view of each provider

    One score with every signal traceable, transparent weighting, and output that comes with reason codes a review team can act on.

    A hospital profile dashboard showing an overall score, a grade and a trend line.
  2. Pipeline

    Eight gates behind every record

    Each hospital is resolved against trusted provider identifiers, then its data is normalized, verified, enriched and corroborated. Only then do configurable weights and confidence rules produce the OpenCredence Score.

    The eight verification gates leading to a score.
  3. Roadmap

    From categorization to dynamic tariffing

    Today it standardizes and classifies hospitals. Next come risk insights from claims and treatment patterns, then reimbursement models where tariffs reflect quality, efficiency, complexity and risk.

    Three roadmap stages: hospital categorization, provider risk intelligence and dynamic tariffing.

Where it stands

Tested independently. Scaled on evidence.

In the GIC test, OpenCredence turned hospital records and public comments into independently tested provider intelligence. The proposed next step is a controlled deployment, with weightage configured around the payer's own priorities.

64
Hospital records in the GIC test
10,000+
Public comments processed
8
Gates passed by every record
~2.5 mo
Proposed deployment for 1,000 hospitals

Questions

What people ask about OpenCredence.

More answersAsk us about OpenCredence

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