Automated ICD Coding of Primary Diagnosis Based on Machine Learning

Cardiovascular Diseases Clinical Trial

Official title:

Automated ICD Coding of Primary Diagnosis Based on Machine Learning

Clinical Trial Details — Status: Active, not recruiting

Administrative data

• NCT number: NCT04817423
• Other study ID #: 2021-1425
• Status: Active, not recruiting
• Start date: March 1, 2021
• Est. completion date: April 2021

Study information

• Verified date: March 2021
• Source: China National Center for Cardiovascular Diseases
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial 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.

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.

Recruitment information / eligibility

• Status: Active, not recruiting
• Enrollment: 74880
• Est. completion date: April 2021
• Est. primary completion date: April 2021
• Accepts healthy volunteers: No
• Gender: All
• Age group: N/A and older

Eligibility

Inclusion Criteria:

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

Exclusion Criteria:

• Admissions stayed in nephrology department, Fuwai Hospital

Related Conditions & MeSH terms

• Cardiovascular Diseases

Intervention

Other:
• No intervention
No intervention

Locations

Country	Name	City	State
China	Fuwai Hospital	Beijing

Sponsors (1)

Lead Sponsor	Collaborator
China National Center for Cardiovascular Diseases

Country where clinical trial is conducted

China, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	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