Automated ICD Coding of Primary Diagnosis Based on Machin... | NCT04817423

Studies
Automated ICD Coding of Primary Diagnosis Based on Machine Learning

NCT04817423

Sponsor

China National Center for Cardiovascular Diseases

Status

Unknown status

Last Update Posted

Mar 26, 2021Actual

Enrollment

74,880Estimated

Phase

Not provided

Conditions

Cardiovascular Diseases

Interventions

No intervention

Countries

China

Protocol Section

Identification Module Status Module Sponsor/Collaborators Module Oversight Module Description Module Conditions Module Design Module Arms/Interventions Module Outcomes Module Eligibility Module Contacts/Locations Module References Module IPD Sharing Statement Module

Results Section

Participant Flow Module Baseline Characteristics Module Outcome Measures Module Adverse Events Module More Info Module

Annotation Section

Annotation Module

Document Section

Large Document Module

Derived Section

Miscellaneous Info Module Condition Browse Module Intervention Browse Module

Protocol Section

Identification Module

NCT ID

Results Section

No data available

No data is available for this block.

Annotation Section

No data available

No data is available for this block.

Document Section

No data available

No data is available for this block.

Derived Section

Miscellaneous Info Module

Version Holder

Status Module

Record Verification Date

Mar 2021

Overall Recruitment Status or Expanded Access Status

Unknown status

Last Known Status

Active, not recruiting

Delayed Posting

Not provided

Why Stopped

Not provided

Expanded Access Info

Start Date

Mar 1, 2021Actual

Primary Completion Date

Apr 2021Estimated

Completion Date

Apr 2021Estimated

First Submitted Date

Mar 23, 2021

First Submission Date that Met QC Criteria

Mar 24, 2021

First Posted Date

Mar 26, 2021Actual

Results Waived

Not provided

Results First Submitted Date

Not provided

Results First Submitted that Met QC Criteria

Not provided

Results First Posted Date

Not provided

Certification/Extension (aka Delayed Results) First Submitted Date

Not provided

Certification/Extension First Submitted that Passed QC Review

Not provided

Certification/Extension First Posted Date

Not provided

Last Update Submitted Date

Mar 24, 2021

Last Update Posted Date

Mar 26, 2021Actual

Oversight Module

Has Data Monitoring Committee (DMC)

Not provided

Is FDA Regulated Drug

Is FDA Regulated Device

Is Unapproved Device

Not provided

Pediatric Postmarket Surveillance of a Device Product

Not provided

Product Exported from US

Not provided

FDAAA801 Violation

Not provided

Description Module

Brief Summary

This study aims to develop and validate machine learning model in ICD-10 coding of primary diagnosis related to cardiovascular diseases in Chinese corpus.

Detailed Description

The accuracy and productivity of ICD coding has always been a concern of clinical practice. Errors of ICD codes may result in claim denials and missed revenue. However, ICD coding process is complex, time-consuming and error-prone. More experienced coders are in need, but there is an increasing lack of supply. Automated ICD coding has potential to facilitate clinical coders for improved efficiency and quality. Model performance of related studies is still far below coders and both the accuracy and interpretability need to be improved in great demand. Besides, studies in Chinese corpus are not sufficient.

In this study, the investigators will implement automated ICD coding study based on inpatient' data collected from electronic medical records from Fuwai Hospital, the world's largest medical center for cardiovascular disease. Feature engineering and machine learning methods will be used to develop classification models with good performance, interpretability and practicability for ICD codes of primary diagnosis.

Design Module

Study Type

Observational

Number of References to an Expanded Access Study

Not provided

Expanded Access Types

Not provided

Patient Registry

Target Follow-Up Duration

Not provided

Phases

Not provided

Interventional Study Design

Allocation

Not provided

Intervention Model

Biospecimen

No data available

No data is available for this block.

Enrollment

74,880Estimated

Arms/Interventions Module

Arm Groups

Label	Type	Description	Intervention Names
Model training and test group		Data set will be split into training group and test group, where training group will be used for model building, and test group for subsequent evaluation and verification.	Other: No intervention

Interventions

Name	Type	Description	Arm Group Labels	Other Names
No intervention	Other	No intervention	Model training and test group

Outcomes Module

Primary Outcomes

Measure	Description	Time Frame
ICD code of primary diagnosis	Each admission will be a sample in this study. The ICD code of primary diagnosis assigned by medical coders for each admission will be collected as the primary outcome.	At the end of enrollment

Secondary Outcomes

Not provided

Other Outcomes

Not provided

Eligibility Module

Eligibility Criteria

Inclusion Criteria:

Admissions in Fuwai Hospital, from January 1, 2019, to December 31, 2020

Exclusion Criteria:

Admissions stayed in nephrology department, Fuwai Hospital

Accepts Healthy Volunteers

Sex

All

Sex/Gender Based

Not provided

Sex/Gender Description

Not provided

Minimum Age

Not provided

Maximum Age

Not provided

Standard Ages

ChildAdultOlder Adult

Study Population

Admissions in Fuwai Hospital

Sampling Method

Non-Probability Sample

Contacts/Locations Module

Central Contacts

Not provided

Overall Officials

Name	Affiliation	Role
Wei Zhao, PhD	China National Center for Cardiovascular Diseases	Principal Investigator

Locations

Facility	Status	City	State	ZIP	Country	Contacts
Fuwai Hospital		Beijing			China

IPD Sharing Statement Module

Plan to Share IPD

Description

Not provided

Types

Not provided

Time Frame

Not provided

Access Criteria

Not provided

URL

Not provided

Condition Browse Module

MeSH Terms

ID	Term
D002318	Cardiovascular Diseases

Ancestor Terms

Not provided

Browse Leaves

Not provided

Browse Branches

Not provided