Related Experiment Video

Updated: Aug 7, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Coding errors: a comparative analysis of hospital and prospectively collected departmental data

H A Khwaja1, H Syed, D W Cranston

  • 1Department of Urological Surgery, Churchill Hospital, Oxford, UK.

BJU International
|February 22, 2002
PubMed

Insights

Hospital coding data for urological patients was found to be inaccurate and incomplete. This impacts the reliability of hospital databases for research, audit, and workload assessment.

Area of Science:

  • Urology
  • Health Informatics
  • Medical Record Management

Background:

  • Accurate patient data is crucial for medical research, clinical audits, and workload assessment.
  • Hospital coding databases are a primary source for this information.

Purpose of the Study:

  • To evaluate the accuracy of a hospital coding database within a tertiary referral urological unit.

Main Methods:

  • Prospectively collected departmental coding data for urological patients.
  • Comparison with data entered by hospital coding clerks on the Oxford Radcliffe NHS Trust database.
  • Data collected from May 1999 to April 2000 at Churchill Hospital, Oxford.

Main Results:

  • Significant discrepancies observed between hospital and departmental databases (639 vs. 1109 patients).
  • Gross procedural coding errors identified in 74 cases.
  • Indicates substantial inaccuracies in hospital-coded data.

Conclusions:

  • Hospital-coded data in this study were incomplete and inaccurate.
  • Raises concerns about the validity of hospital-trust databases for medical research.
  • Highlights potential issues in representing consultant clinical workload accurately.
Abstract

Related Concept Videos

Data Reporting and Recording01:24

Data Reporting and Recording

Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters assessment...
Methods of Documentation V: CBE01:23

Methods of Documentation V: CBE

Charting by Exception, or CBE, is a method of documentation used in healthcare, particularly in nursing, that focuses on documenting only significant or abnormal findings rather than recording every detail. This approach aims to streamline the documentation process, improve efficiency, and ensure that healthcare providers can quickly identify deviations from normalcy in patient assessments.
In CBE, healthcare professionals establish predefined standards of practice that define what constitutes...
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic illness...
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...