Transform unstructured medical data into a fully structured and organized medical record with SNOMED and ICD-10 coding

Turn your unstructured data archives into structured data and combine all patient data 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.