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Related Concept Videos

Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

1.3K
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...
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Formats for Nursing Documentation01:28

Formats for Nursing Documentation

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Nursing documentation encompasses various formats designed to capture precise patient data, facilitate communication among healthcare team members, and ensure comprehensive and accurate patient records. Let's explore each of these formats in detail:
Nursing Assessment Form:
• A nursing assessment form is a foundational document that captures detailed patient data from physical assessments and nursing histories.
• It includes patient demographics, medical history,...
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Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

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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...
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Formulating and Validating Nursing Diagnosis I01:26

Formulating and Validating Nursing Diagnosis I

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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...
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Formulating and Validating Nursing Diagnosis II01:25

Formulating and Validating Nursing Diagnosis II

2.9K
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...
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Methods of Documentation IV: Focus Charting01:26

Methods of Documentation IV: Focus Charting

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Focus Charting, also known as the focus charting system or "focus documentation," is a systematic documentation approach used in healthcare to organize patient information in medical records.
It typically involves three columns for recording information:
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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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A flexible framework for visualizing and exploring patient misdiagnosis over time.

Wathsala Widanagamaachchi1, Kelly Peterson2, Alec Chapman3

  • 1University of Utah School of Medicine Division of Epidemiology, 295 Chipeta Way, Salt Lake City, 84132, UT, USA; VA Salt Lake City Health Care System, 500 Foothill Dr, Salt Lake City, 84148, UT, USA.

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This study introduces a new data visualization framework to analyze patient diagnostic paths. It helps improve diagnostic accuracy and reduce errors by efficiently representing complex patient data over time.

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Area of Science:

  • Medical Informatics
  • Data Visualization
  • Clinical Decision Support

Background:

  • Diagnosis is a complex process critical for clinical decision-making.
  • Manual review of patient diagnostic history is inefficient due to large data volumes.
  • Improving diagnostic accuracy and reducing errors requires efficient data analysis.

Purpose of the Study:

  • To present a novel visualization and analysis framework for exploring patient diagnostic paths over time.
  • To enable efficient data reduction and representation of complex diagnostic histories.
  • To provide insights for improving diagnostic accuracy and reducing downstream errors.

Main Methods:

  • Developed a flexible visualization and analysis framework.
  • Enabled user selection of patients, events, and conditions.
  • Implemented data filtering based on various attributes.
  • Provided interactive views of patient diagnosis paths.

Main Results:

  • Demonstrated a practical application of the framework with a case study on infection-based diagnosis paths.
  • Showcased the framework's ability to explore patient diagnostic processes interactively.
  • Validated the framework's utility in representing complex patient data.

Conclusions:

  • The proposed framework offers a promising approach for analyzing patient diagnostic journeys.
  • Visual analytics can effectively address challenges in managing and interpreting large healthcare datasets.
  • This tool has the potential to enhance diagnostic quality and patient care.