# Medical Coding and Health Information

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/medical-coding-and-health-information/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the accuracy and impact of clinical coding, particularly related to the International Classification of Diseases (ICD-9-CM and ICD-10) in healthcare administrative data. It addresses challenges, implications, and improvements in clinical coding, data quality, and the use of hospital discharge data for research and financial purposes. |
| Domain | Health Sciences |
| Field | Health Professions |
| OpenAlex ID | t14400 |
| Works | 71 |

## Topic papers all

Showing 15 of 71.

- [External review and validation of the Swedish national inpatient register](https://scholariq.org/papers/external-review-and-validation-of-the-swedish-national-inpatient-register/)
- [The predictive value of ICD-10 diagnostic coding used to assess Charlson comorbidity index conditions in the population-based Danish National Registry of Patients](https://scholariq.org/papers/the-predictive-value-of-icd-10-diagnostic-coding-used-to-assess-charlson/)
- [Essentials of Medical Statistics.](https://scholariq.org/papers/essentials-of-medical-statistics/)
- [UK health performance: findings of the Global Burden of Disease Study 2010](https://scholariq.org/papers/uk-health-performance-findings-of-the-global-burden-of-disease-study-2010/)
- [Cohort profile of the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register: current status and recent enhancement of an Electronic Mental Health Record-derived data resource](https://scholariq.org/papers/cohort-profile-of-the-south-london-and-maudsley-nhs-foundation-trust-biomedical/)
- [Comparison of Quality of Care for Patients in the Veterans Health Administration and Patients in a National Sample](https://scholariq.org/papers/comparison-of-quality-of-care-for-patients-in-the-veterans-health-administration/)
- [An administrative data merging solution for dealing with missing data in a clinical registry: adaptation from ICD-9 to ICD-10](https://scholariq.org/papers/an-administrative-data-merging-solution-for-dealing-with-missing-data-in-a/)
- [Coding accuracy of administrative drug claims in the Ontario Drug Benefit database.](https://scholariq.org/papers/coding-accuracy-of-administrative-drug-claims-in-the-ontario-drug-benefit/)
- [The South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLAM BRC) case register: development and descriptive data](https://scholariq.org/papers/the-south-london-and-maudsley-nhs-foundation-trust-biomedical-research-centre/)
- [Methods for identifying 30 chronic conditions: application to administrative data](https://scholariq.org/papers/methods-for-identifying-30-chronic-conditions-application-to-administrative-data/)
- [Linking inpatient clinical registry data to Medicare claims data using indirect identifiers](https://scholariq.org/papers/linking-inpatient-clinical-registry-data-to-medicare-claims-data-using-indirect/)
- [Development of a Database of Health Insurance Claims: Standardization of Disease Classifications and Anonymous Record Linkage](https://scholariq.org/papers/development-of-a-database-of-health-insurance-claims-standardization-of-disease/)
- [Risk adjustment performance of Charlson and Elixhauser comorbidities in ICD-9 and ICD-10 administrative databases](https://scholariq.org/papers/risk-adjustment-performance-of-charlson-and-elixhauser-comorbidities-in-icd-9/)
- [A systematic review of discharge coding accuracy](https://scholariq.org/papers/a-systematic-review-of-discharge-coding-accuracy/)
- [Base de datos SIDIAP: la historia clínica informatizada de Atención Primaria como fuente de información para la investigación epidemiológica](https://scholariq.org/papers/base-de-datos-sidiap-la-historia-clinica-informatizada-de-atencion-primaria-como/)

## Topic primary papers

Showing 15 of 24.

- [External review and validation of the Swedish national inpatient register](https://scholariq.org/papers/external-review-and-validation-of-the-swedish-national-inpatient-register/)
- [The predictive value of ICD-10 diagnostic coding used to assess Charlson comorbidity index conditions in the population-based Danish National Registry of Patients](https://scholariq.org/papers/the-predictive-value-of-icd-10-diagnostic-coding-used-to-assess-charlson/)
- [An administrative data merging solution for dealing with missing data in a clinical registry: adaptation from ICD-9 to ICD-10](https://scholariq.org/papers/an-administrative-data-merging-solution-for-dealing-with-missing-data-in-a/)
- [Coding accuracy of administrative drug claims in the Ontario Drug Benefit database.](https://scholariq.org/papers/coding-accuracy-of-administrative-drug-claims-in-the-ontario-drug-benefit/)
- [Development of a Database of Health Insurance Claims: Standardization of Disease Classifications and Anonymous Record Linkage](https://scholariq.org/papers/development-of-a-database-of-health-insurance-claims-standardization-of-disease/)
- [Risk adjustment performance of Charlson and Elixhauser comorbidities in ICD-9 and ICD-10 administrative databases](https://scholariq.org/papers/risk-adjustment-performance-of-charlson-and-elixhauser-comorbidities-in-icd-9/)
- [A systematic review of discharge coding accuracy](https://scholariq.org/papers/a-systematic-review-of-discharge-coding-accuracy/)
- [Searching for an improved clinical comorbidity index for use with ICD-9-CM administrative data](https://scholariq.org/papers/searching-for-an-improved-clinical-comorbidity-index-for-use-with-icd-9-cm/)
- [Identifying priorities in methodological research using ICD-9-CM and ICD-10 administrative data: report from an international consortium](https://scholariq.org/papers/identifying-priorities-in-methodological-research-using-icd-9-cm-and-icd-10/)
- [An Eualuation of Clinicians' Subjective Prior Probability Estimates](https://scholariq.org/papers/an-eualuation-of-clinicians-subjective-prior-probability-estimates/)
- [ICD-9 to ICD-10: evolution, revolution, and current debates in the United States.](https://scholariq.org/papers/icd-9-to-icd-10-evolution-revolution-and-current-debates-in-the-united-states/)
- [The quality of routinely collected maternity data](https://scholariq.org/papers/the-quality-of-routinely-collected-maternity-data/)
- [The burden and trend of diseases and their risk factors in Australia, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019](https://scholariq.org/papers/the-burden-and-trend-of-diseases-and-their-risk-factors-in-australia-1990-2019-a/)
- [Automatic ICD-10 Coding and Training System: Deep Neural Network Based on Supervised Learning](https://scholariq.org/papers/automatic-icd-10-coding-and-training-system-deep-neural-network-based-on/)
- [EuCliD (European Clinical Database): a database comparing different realities.](https://scholariq.org/papers/euclid-european-clinical-database-a-database-comparing-different-realities/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.