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Related Concept Videos

Discharge Summary Forms01:31

Discharge Summary Forms

The discharge summary is crucial as it enables a smooth transition from a healthcare facility to a patient's home or another care setting. This critical document facilitates seamless continuity of care, ensuring patients receive the necessary support and attention.
Here's a detailed look at the key components and guidelines for preparing a discharge summary:
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...
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...
Guidelines for Nursing Documentation I01:30

Guidelines for Nursing Documentation I

Quality documentation and reporting share essential characteristics that ensure they are practical and valuable resources for those who use them. These characteristics are:
Factual:  
The following points emphasize the significance of upholding accurate and unbiased documentation in healthcare.
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...
Types of Records I: Unit and Nurses Records01:27

Types of Records I: Unit and Nurses Records

Unit records in healthcare settings document the patient's treatment history, including interventions, medications, diagnostic and laboratory results, progress notes, personal care needs, vital signs, and other medical information. They are crucial for managing patient care, aiding healthcare professionals in providing quality treatment and informed decision-making.
Unit records can be divided into two main types: administrative records and clinical records.
Administrative records in...

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Related Experiment Video

Updated: May 30, 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

Systematic review of discharge coding accuracy.

E M Burns1, E Rigby, R Mamidanna

  • 1Department of Surgery, Imperial College, St Mary's Hospital, Praed Street, W21NY London, UK.

Journal of Public Health (Oxford, England)
|July 29, 2011
PubMed
Summary
This summary is machine-generated.

Routinely collected health data in Great Britain show improving accuracy, with a median accuracy of 83.2% compared to case notes. These datasets are robust enough for research and health service management.

Related Experiment Videos

Last Updated: May 30, 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

Area of Science:

  • Health Informatics
  • Data Quality Assessment
  • Healthcare Management

Background:

  • Routinely collected data are vital for research, financial reimbursement, and health service planning.
  • High-quality data are essential for reliable analysis and decision-making.
  • Assessing the accuracy of these datasets is crucial for their effective utilization.

Purpose of the Study:

  • To systematically assess the published accuracy of routinely collected data sets in Great Britain.
  • To evaluate the reliability of routinely collected data for various healthcare applications.

Main Methods:

  • Systematic literature searches were conducted across major databases (EMBASE, PUBMED, OVID, Cochrane) from 1989 to present.
  • Included studies compared routinely collected data against case notes or clinical registries.
  • Data extraction focused on accuracy metrics for diagnoses and procedures.

Main Results:

  • Thirty-two studies met the inclusion criteria.
  • The overall median accuracy of routinely collected data compared to case notes was 83.2%.
  • Accuracy rates demonstrated considerable variation (50.5-97.8%), with improvements noted since the introduction of Payment by Results in 2002.

Conclusions:

  • Accuracy rates for routinely collected data are demonstrably improving.
  • The current reported accuracy levels suggest these datasets are sufficiently robust for research and managerial decision-making.
  • Continued monitoring and quality improvement initiatives are warranted.