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Documentation of Nursing Diagnosis

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...

Data Validation

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...

Formulating and Validating Nursing Diagnosis I

Formulating and Validating Nursing Diagnosis I

A nursing diagnosis is written when the nurse recognizes a cluster of essential patient data indicating health problems treated with independent nursing interventions. The standardized terminologies of a nursing diagnosis help nurses identify and treat patients' problems. Every electronic health record that uses nursing diagnosis must employ standard diagnostic terminology. Developing an efficient, individualized care plan begins with accurate nursing diagnoses.
There are thirteen domains for...

Diagnostic and Statistical Manual of Mental Disorders (DSM)

Diagnostic and Statistical Manual of Mental Disorders (DSM)

The Diagnostic and Statistical Manual of Mental Disorders (DSM) serves as the primary classification system for mental health disorders, providing standardized diagnostic criteria for clinicians and researchers. First published by the American Psychiatric Association (APA) in 1952, the DSM has undergone several revisions to reflect evolving psychiatric understanding. The fifth edition, DSM-5, released in 2013, introduced key updates that expanded diagnostic categories and modified diagnostic...

Formulating and Validating Nursing Diagnosis II

Formulating and Validating Nursing Diagnosis II

Nursing diagnoses represent a problem validated by major defining characteristics. There are four categories of nursing diagnoses: problem-focused, risk, health promotion or wellness, and syndrome. The anatomy of a nursing diagnosis includes three components: problem statement or diagnostic label, defining characteristics, and related factors.
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...

Methods of Documentation V: CBE

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...

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Related Experiment Video

Updated: Jun 15, 2026

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

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

Published on: January 8, 2020

Validity of diagnostic coding within the General Practice Research Database: a systematic review.

Nada F Khan¹, Sian E Harrison, Peter W Rose

¹Department of Primary Health Care, University of Oxford, Oxford, UK. nada.khan@dphpc.ox.ac.uk

The British Journal of General Practice : the Journal of the Royal College of General Practitioners

|March 6, 2010

Summary

The General Practice Research Database (GPRD) generally records diagnoses accurately, though acute conditions and specific diseases like diabetes may be underestimated. Researchers should verify coding accuracy for their specific interests.

Related Experiment Videos

Last Updated: Jun 15, 2026

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

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

Published on: January 8, 2020

Area of Science:

Epidemiological research
Primary care data analysis
Health informatics

Background:

The General Practice Research Database (GPRD) is a key UK source for longitudinal primary care data.
Its use in epidemiological research is expanding.

Purpose of the Study:

To systematically review literature on the accuracy and completeness of diagnostic coding within the GPRD.
To assess the reliability of GPRD data for research.

Main Methods:

Conducted a systematic literature review.
Searched six electronic databases for studies on GPRD validity and accuracy.
Calculated positive predictive values against gold standards.
Included studies comparing GPRD with other databases and national statistics.

Main Results:

Reviewed 49 papers, with 40 validating clinical diagnoses.
Most diagnoses showed accurate recording against gold standards.
Acute conditions had lower positive predictive values (<50%).
GPRD generally agreed with other datasets on prevalence, but underestimated diabetes and musculoskeletal conditions.

Conclusions:

Diagnostic coding in the GPRD is largely accurate.
Researchers must assess disease-specific recording accuracy before GPRD use.
Consider methods to optimize clinical event identification in the GPRD.