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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...
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...
Data Collection I01:30

Data Collection I

Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of data...
Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
Long-Term Care Facilities
Data Validation01:03

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...
Adjusting a Traverse01:12

Adjusting a Traverse

In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...

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Related Experiment Video

Updated: May 19, 2026

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation
06:32

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation

Published on: July 14, 2023

Triangulating data to improve care.

Sam Foster1

  • 1Heart of England NHS Foundation Trust. sam.foster@heartofengland.nhs.uk

Nursing Management (Harrow, London, England : 1994)
|August 11, 2012
PubMed
Summary
This summary is machine-generated.

The Heart of England NHS Foundation Trust enhanced its data credibility for care delivery evaluation. They utilized a triangulation process, comparing multiple data sources to ensure consistent and reliable outcome measurements.

Related Experiment Videos

Last Updated: May 19, 2026

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation
06:32

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation

Published on: July 14, 2023

Area of Science:

  • Healthcare Management
  • Data Science in Healthcare
  • Quality Improvement

Background:

  • Challenges in healthcare data credibility.
  • Need for robust evaluation methods in NHS trusts.
  • Existing limitations in measuring care delivery.

Purpose of the Study:

  • To detail the development of novel evaluation methods at Heart of England NHS Foundation Trust.
  • To enhance the capacity for generating credible data on care delivery.
  • To demonstrate the application of the triangulation process for outcome measurement.

Main Methods:

  • Development of a unique evaluation framework.
  • Implementation of the triangulation process.
  • Measuring identical outcomes through diverse methods and sources.

Main Results:

  • Increased capacity to provide credible data.
  • Validation of outcomes through cross-method comparison.
  • Demonstrated reliability and consistency in data.

Conclusions:

  • The triangulation process is effective for enhancing data credibility.
  • Trusts can improve care delivery evaluation with tailored methods.
  • Robust data evaluation supports better healthcare outcomes.