Automated ICD Coding of Primary Diagnosis Based on Machine Learning
Study Details
Study Description
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.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
|
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.
Study Design
Arms and Interventions
| Arm | Intervention/Treatment |
|---|---|
| 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
No intervention
|
Outcome Measures
Primary Outcome Measures
- ICD code of primary diagnosis [At the end of enrollment]
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.
Eligibility Criteria
Criteria
Inclusion Criteria:
- Admissions in Fuwai Hospital, from January 1, 2019, to December 31, 2020
Exclusion Criteria:
- Admissions stayed in nephrology department, Fuwai Hospital
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | Fuwai Hospital | Beijing | China |
Sponsors and Collaborators
- China National Center for Cardiovascular Diseases
Investigators
- Principal Investigator: Wei Zhao, PhD, China National Center for Cardiovascular Diseases
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- 2021-1425