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Emed ICD

Comprehensive ICD-10-CM code extraction using clinical NLP - covering all diagnosis categories with specialty-specific subsets for pinpoint coding precision.

Get a Demo Specialty Codes

70K+

ICD-10-CM Codes Mapped

95%

Diagnosis Capture Accuracy

15+

Specialty Subsets

ICD-11

Transition Ready

ICD Code Intelligence Dashboard

Distribution of ICD-10-CM codes extracted and accuracy benchmarks across clinical domains.

Emedlogix · Emed ICD — ICD-10/ICD-11 Code Extraction
Emedlogix Emed ICD Dashboard - ICD Code Intelligence Analytics

▪ ICD-10 Code Distribution by Chapter

Circulatory System
18%
Neoplasms
14%
Musculoskeletal
12%
Respiratory
11%
Endocrine/Metabolic
10%
Mental/Behavioral
7.5%
Other Chapters
27.5%

* Based on 500M+ clinical records processed 2022-2024

▪ Extraction Accuracy Benchmarks

First-pass Specificity0%
HCC Mapping Precision0%
Comorbidity Capture0%
Edit Rule Pass Rate0%

▪ Library & Performance Stats

0ICD-10-CM codes mapped
0Built-in validation edits
0Specialty subsets available
0Millisec avg. extraction time

Full ICD-10-CM Library

Emed ICD covers the entire ICD-10-CM code set - auto-updated with every CMS and WHO release cycle.

Contextual Diagnosis Extraction

Deep learning models distinguish primary, secondary, and chronic condition diagnoses from clinical context - not just keyword matching.

HCC Mapping Integration

Every ICD code is simultaneously mapped to its HCC category - delivering both revenue cycle and risk adjustment value from a single pass.

Clinical Validation Rules

400+ built-in edits catch sex-specific diagnoses, age-specific codes, manifestation-only codes, and etiology/manifestation pairing errors before submission.

Comorbidity Logic

Intelligent comorbidity capture identifies and links related conditions ensuring completeness of the clinical picture and proper code sequencing (PDx/SDx).

Auto-Updated Code Set

Automatic ICD-10-CM October updates applied to your instance - zero downtime, zero manual intervention from your team.

ICD-11 Transition Ready

Dual-mode engine supports ICD-10-CM now and is architecturally prepared for ICD-11 migration - protecting your investment long-term.

Specialty-Specific ICD Subsets

Pre-configured specialty code libraries reduce cognitive load on coders and improve accuracy by focusing the AI on the most relevant diagnosis categories per clinical domain.

Cardiology

Neurology

Radiology

Orthopedics

Pulmonology

Oncology

Ophthalmology

Obstetrics

Endocrinology

Nephrology

Gastroenterology

Primary Care & IM

How Emed ICD Works

From raw clinical document to structured, validated ICD codes in seconds.

E11.65 → Diabetes w/ Hyperglycemia  |  HCC 19 ✓
I50.22 → CHF Systolic Acute  |  HCC 85 ✓
J44.1  → COPD with Exacerbation  |  HCC 111 ✓
N18.5 → CKD Stage 5  |  HCC 136 ✓
C34.10 → Lung Neoplasm  |  HCC 9 ✓
E11.65 → Diabetes w/ Hyperglycemia  |  HCC 19 ✓
I50.22 → CHF Systolic Acute  |  HCC 85 ✓
J44.1  → COPD with Exacerbation  |  HCC 111 ✓

Document Ingested

EHR note, discharge summary, or scanned record received

NLP Analysis

Clinical entities, negation, and context extracted by the engine

Code Mapping

Diagnoses mapped to ICD-10-CM codes with HCC cross-reference

Validation

Clinical edit rules applied; errors flagged before coder review

Delivery

Structured codes pushed to EHR/billing system via HL7 FHIR API

Capture Every Diagnosis. Every Time.

Let Emed ICD find the codes your coders miss - with clinical precision and compliance built in.

#ICD-10 #ICD-11 Ready #Diagnosis AI #Specificity
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