CASE STUDY
Medical Chart Processing System – MediPrompt
A modernized medical chart intelligence platform powered by GPT APIs, automated ICD-10/CPT medical code mapping, secure PHI anonymization, and Power BI operational dashboards built on React.js, Node.js, and MSSQL.
Cognic MediPrompt
Search medical charts, ICD codes or patient IDs…
Medical Chart Intelligence & Code Standardization
50,000+
Monthly Charts Digitized
99.4%
ICD-10 / CPT Code Precision
70%
Reduction in Chart Review Time
100%
Automated PHI De-identification
| Chart Ref | Provider Facility | Clinical Narrative Finding | Extracted Medical Code | Status | Confidence |
|---|---|---|---|---|---|
| CHT-10492 | St. Jude Medical Center | Type 2 diabetes with mild nonproliferative retinopathy | ICD-10 E11.329 / CPT 99214 | Validated by Auditor | 99% |
| CHT-10498 | Memorial Health Network | Acute subendocardial myocardial infarction | ICD-10 I21.4 / CPT 93010 | Validated by Auditor | 99% |
| CHT-10503 | Cedars-Sinai Outpatient | Primary osteoarthritis of right knee | ICD-10 M17.11 / CPT 73560 | Validated by Auditor | 98% |
| CHT-10511 | UCSF Health Pavilion | Major depressive disorder, recurrent, moderate | ICD-10 F33.1 / CPT 90834 | Flagged for Specialist | 92% |
| CHT-10519 | NYU Langone Hospital | Chronic kidney disease, stage 3b | ICD-10 N18.32 / CPT 80053 | Validated by Auditor | 100% |
50,000+ Monthly Charts Digitized
High-throughput ingestion across major US healthcare networks
70% Faster Chart Processing Speed
Reduced audit review cycle from 45 minutes to under 12 minutes
99.4% Code Mapping Precision
Accurate extraction of ICD-10, CPT, and HCC risk adjustment codes
100% HIPAA Automated PHI De-identification
Real-time redaction of 18 HIPAA Safe Harbor patient identifiers
What is MediPrompt chart processing?
MediPrompt is an enterprise medical chart intelligence and legacy modernization platform that combines Optical Character Recognition (OCR), secure GPT API entity mapping, and automated PHI de-identification to parse complex medical records, extract standardized billing codes, and provide operational visibility through interactive Power BI dashboards.
A Smarter Way to Modernize Medical Chart Auditing
The Challenge
Legacy chart processing systems struggling with volume growth, manual code mapping errors, and non-compliance risks during PHI handling.
The Solution
End-to-end modernized web architecture on React.js, Node.js, and MSSQL with GPT medical code extraction and automated redaction.
The Outcome
Processing velocity increased by 70%, coding errors dropped to near zero, and complete HIPAA compliance was established.
The Challenge
Healthcare organizations processing tens of thousands of medical charts face severe operational drag from legacy desktop applications and manual chart auditing.
Outdated legacy chart processing software unable to scale with rising patient chart volume
High rates of human error when manual reviewers translate unstructured narratives into ICD-10 codes
Severe legal and financial risks from improper handling and storage of unredacted patient PHI
Time-consuming manual data entry slowing down health plan risk adjustment calculations
Lack of real-time operational visibility into auditor throughput and coder accuracy
Difficulty auditing complex hierarchical condition categories (HCC) across long records
Fragmented chart storage across disconnected on-premise file servers
Inability to integrate modern AI capabilities with aging hospital IT infrastructure
Legacy Chart Processing vs. Modernized MediPrompt Engine
| Workflow Stage | Traditional Manual Workflow | Cognic AI-Powered Engine |
|---|---|---|
| Chart Ingestion | Manual file uploads and slow local desktop rendering of PDF charts | High-speed cloud ingestion with automated OCR and structured text indexing |
| PHI Protection | Manual blacking out of patient names or risky unredacted processing | Automated NLP redaction of all 18 HIPAA Safe Harbor identifiers before AI analysis |
| Medical Code Extraction | Auditors manually flipping through code books and guidelines | GPT API medical code mapping pairing clinical evidence directly to ICD-10 & CPT |
| HCC Risk Adjustment | Frequent omissions of chronic condition diagnoses across past charts | Comprehensive longitudinal analysis surfacing all supported chronic condition categories |
| Auditor Interface | Clunky legacy desktop UI with disconnected split-screen views | Modern React.js Auditor Workbench with synchronized PDF viewing and 1-click code acceptance |
| Operational Analytics | Static monthly reports compiled manually in Excel spreadsheets | Live Power BI dashboards tracking throughput, accuracy rates, and auditor productivity |
The MediPrompt Platform Architecture
Three core pillars modernizing clinical chart intake, intelligence, and reporting.
01
Secure PHI Redaction & OCR Engine
Scans unstructured chart pages, converts medical documents to structured text, and removes patient identifiers.
• High-accuracy medical OCR
• 18 HIPAA identifier redaction
• Multi-format PDF & TIFF support
→
02
GPT Medical Entity & Code Mapper
Analyzes de-identified clinical narratives to identify diagnoses, procedures, and corresponding ICD-10 and CPT codes.
• ICD-10 & CPT code mapping
• HCC risk adjustment detection
• Evidence citation linking
→
03
Auditor Workbench & Power BI Hub
Provides medical coders with a fast review environment and leadership with real-time operational analytics.
• Synchronized chart viewer UI
• 1-click auditor validation
• Executive Power BI dashboards
→
Safe Harbor Redaction
100% automated PHI de-identification
GPT Code Mapping
Accurate ICD-10 & CPT pairing
Power BI Analytics
Executive visibility into auditor velocity
MediPrompt Architecture & Processing Pipeline
A high-throughput, modernized clinical intelligence architecture.
1 Chart Intake & OCR
› Batch PDF / TIFF Upload
› Medical OCR Pre-processing
› Document Layout Analysis
› Section Header Splitting
› Encrypted S3 Storage
2 PHI Redaction
› 18 Identifier Tokenization
› Safe Harbor Validation
› Patient Token Map
› Cryptographic Vault
› Zero Leakage Check
3 GPT Medical Mapping
› Clinical Entity Parsing
› ICD-10 & CPT Normalizer
› HCC Risk Matcher
› Evidence Passage Link
› Confidence Scoring
4 Auditor & Analytics
› React Auditor Workbench
› 1-Click Code Validation
› MSSQL Database Post
› Power BI Embed Hub
› Compliance Export
From Scanned Medical Chart to Validated Codes
An end-to-end verifiable audit lineage from raw chart upload to executive analytics.
PDF Chart
→
OCR & Index
→
PHI Redaction
→
GPT Mapping
→
Auditor Review
→
Validated Codes
Medical AI & Legacy Modernization Layer
Cutting-edge intelligence and full-stack software modernization capabilities.
Automated 18-Element PHI Redaction
Redacts patient names, dates, geographic data, and medical record numbers
GPT Clinical Semantic Mapping
Identifies nuanced clinical descriptions and pairs them with definitive billing codes
Hierarchical Condition Category (HCC) Detection
Flags chronic condition evidence to optimize risk-adjusted reimbursement
Synchronized PDF Auditor Workbench
Allows coders to click any extracted code and jump instantly to cited chart text
Embedded Power BI Operational Intelligence
Provides real-time metrics on chart throughput, coder speed, and error rates
Medical Auditor & Coder Workbench
Certified medical coders review AI-extracted codes side-by-side with original chart evidence citations for rapid validation.
| Chart ID | Provider / Patient (Redacted) | Clinical Finding Narrative | Extracted Medical Code | Action | ||
|---|---|---|---|---|---|---|
| CHT-8841 | St. Jude / PT-[RED-901] | “Assessment: Patient presents with T2DM with mild diabetic retinopathy…” | ICD-10 E11.329 / CPT 99214 | Validated | 99% | |
| CHT-8846 | Memorial / PT-[RED-904] | “Impression: Left ventricular ejection fraction reduced to 35%…” | ICD-10 I50.22 / CPT 93010 | Validated | 99% | |
| CHT-8851 | Cedars-Sinai / PT-[RED-909] | “Procedure: Right total hip arthroplasty under general anesthesia…” | CPT 27130 / ICD-10 M16.11 | Validated | 98% | |
| CHT-8858 | NYU Langone / PT-[RED-915] | “Lab findings confirm eGFR 42 mL/min indicating stage 3b CKD…” | ICD-10 N18.32 / CPT 80053 | Validated | 100% |
Enterprise PHI Protection & Compliance
Comprehensive compliance and data privacy controls for healthcare data.
Safe Harbor De-id
HIPAA BAA Compliant
Zero Model Training
MSSQL Encryption
Entra ID RBAC
Audit Trail Logs
Technology Stack
Key technologies powering the production deployment.
React.js Frontend
Node.js & Express
OpenAI GPT-4 API (Private)
Microsoft SQL Server (MSSQL)
Power BI Embedded
Azure Blob Storage
Docker & Kubernetes
TailwindCSS
TypeScript
What Changed
Key operational and efficiency improvements.
Chart auditing cycle reduced by 70% from 45 minutes to under 12 minutes per record
Medical code mapping accuracy reached 99.4% on complex outpatient & inpatient charts
Completely eliminated legacy desktop software crashes and data corruption risks
Achieved 100% automated PHI redaction compliant with federal HIPAA privacy regulations
Power BI dashboards gave executives live visibility into coder throughput and audit backlogs
Built for Healthcare Informatics Leaders
Engineered for CIOs, health information directors, and clinical audit teams.
Chief Information Officers (CIOs)
Modernize legacy healthcare applications with high-performance, cloud-ready web architectures.
Directors of Health Information Management (HIM)
Accelerate chart review throughput and boost certified coder productivity.
Risk Adjustment & Compliance Executives
Capture accurate HCC diagnostic codes while maintaining bulletproof audit defensibility.