Transform unstructured medical data into a fully structured and organized medical record with SNOMED and ICD-10 coding
Bingli · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
Turn your
unstructured data archives into structured data and combine all patient data
Show the rest of the publisher’s description (44 more lines)
into a smart medical record.
Bingli’s Intelligent
Health Data Platform (IHDP) is a modular solution designed to unlock the value
trapped in unstructured Electronic Health Records (EHR) and Hospital
Information Systems (HIS).
Up to 80% of
healthcare data exists as free text (clinician notes, discharge summaries, PDF
reports). This information is critical, yet largely inaccessible for analytics,
billing, interoperability, and AI-driven insights.
Bingli IHDP solves
this by automatically structuring and coding unstructured records into
verifiable clinical standards. Bingli IHDP turns dormant data into a strategic
asset for providers, payers, and researchers.
How It Works
Bingli IHDP serves as
an intelligent processing layer for your data lake or EHR:
· Ingest &
Digitize: Processes unstructured inputs including clinical notes,
PDFs, scanned documents, and reports
· Contextualize,
summarize & code: seamless data correlation, contextualization,
and coding (SNOMED CT and ICD-10) with a single click
· Structure: It
outputs a clean, coded record record ready for analysis, billing, or
interoperability (FHIR).
· Consolidate
(Optional): consolidates new health data input with historical data to
identify changes, inconsistencies or clinical evolution.
Measurable Business
& Clinical Impacts
For Payers &
Research (Data-Focused)
- Automated Claims Validation: Validate claims against clinical
evidence in the unstructured notes automatically, reducing manual review
time and ensuring payment integrity.
- Research-Ready Datasets: Instantly convert years of
unstructured historical data into structured cohorts for clinical trials
or population health analysis.
For Providers and
Care Teams
- Faster, Better Clinical Decisions: access a patient’s full medical history
without searching through hundreds of documents
- Cost-Efficient Care: Avoid redundant testing by surfacing
historical results that were previously buried in scanned documents.
Preview
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Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Sources
Publisher resources
3 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.