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Related Concept Videos

Formulating and Validating Nursing Diagnosis I01:26

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...
Formulating and Validating Nursing Diagnosis II01:25

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...
Patient-centered Care01:13

Patient-centered Care

Patient-centered care involves delivering care beyond inpatient hospitalization. Reflective practice can enhance a patient-centered approach. Reflective practice is a process of reasoning that considers all aspects of the present situation, including practicalities, learning from personal practice, and consideration of patient needs. Patients appreciate care decisions made while considering their input. Involving the patient in their care provides the patient with a sense of contribution rather...
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...
Guidelines for Writing Outcome01:11

Guidelines for Writing Outcome

When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care evaluation by...
Methods of Documentation III: PIE01:21

Methods of Documentation III: PIE

Problem-intervention-evaluation (PIE) is a systematic approach to documentation used in healthcare settings for clinical decision-making and patient care planning. It is a structured approach to organizing patient data based on problems, interventions, and evaluations. Here's a breakdown of its key features and considerations:

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Related Experiment Video

Updated: Jul 2, 2026

Interventional Diagnostic Procedure: A Practical Guide for the Assessment of Coronary Vascular Function
10:28

Interventional Diagnostic Procedure: A Practical Guide for the Assessment of Coronary Vascular Function

Published on: March 15, 2022

Characterization of the knowledge contained in diagnostic problem oriented clinical practice guidelines.

Yaron Denekamp1, Osama Nasreldeen, Mor Peleg

  • 1Galil Center for Medical Informatics, University of Haifa, Haifa, Israel.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|August 13, 2008
PubMed
Summary

This study examined how often symptoms, signs, and tests are mentioned in clinical guidelines for diagnosing problems. The researchers developed a method to analyze these guidelines and found that symptoms are referenced more often than signs or tests. They also looked at how well evidence-based medicine principles were applied. The results suggest that guidelines vary in how they use evidence to support their recommendations. The study may help improve the design of tools that support clinical decision-making. The findings are specific to diagnostic problem-oriented guidelines and do not claim to be essential for all types of guidelines.

Keywords:
clinical guidelinesevidence-based medicinediagnostic data typesdecision support systems

Frequently Asked Questions

Related Experiment Videos

Last Updated: Jul 2, 2026

Interventional Diagnostic Procedure: A Practical Guide for the Assessment of Coronary Vascular Function
10:28

Interventional Diagnostic Procedure: A Practical Guide for the Assessment of Coronary Vascular Function

Published on: March 15, 2022

Area of Science:

  • Clinical decision support systems
  • Evidence-based medicine
  • Medical guideline development

Background:

A gap exists in understanding how diagnostic data are referenced in clinical guidelines. Prior research has shown that guidelines often integrate symptoms, signs, and tests. However, no prior work had resolved how frequently these data types appear in diagnostic-oriented guidelines. This uncertainty drove the need for a systematic analysis of guideline content. It was already known that evidence-based medicine principles shape guideline development. But the extent of their application remains unclear. This study addresses that gap by examining the frequency and context of data type references. The goal is to inform the design of decision-support tools. No prior work had quantitatively assessed this aspect of guidelines.

Purpose Of The Study:

The aim was to evaluate how often diagnostic data types appear in clinical guidelines. The specific problem is the lack of quantitative data on this topic. Developers need this information to improve decision-support systems. The motivation stems from the need for better integration of evidence into clinical workflows. The study focuses on diagnostic problem-oriented guidelines. It examines how evidence-based medicine principles are applied. The goal is to provide actionable insights for guideline creators. This approach helps bridge the gap between research and practice.

Main Methods:

The researchers developed a set of characteristics to analyze guideline content. They focused on symptoms, signs, and tests as primary data types. The analysis involved examining diagnostic problem-oriented guidelines. Each guideline was reviewed for references to these data types. The team applied evidence-based medicine principles to the evaluation. They categorized the frequency and context of each data type. The method included both qualitative and quantitative assessments. This approach allowed for a comprehensive evaluation of guideline content.

Main Results:

The study found that symptoms were most frequently referenced in the guidelines. Signs and tests followed, but with lower frequency. Evidence-based medicine principles were applied to varying degrees. Some guidelines provided strong justification for data type use. Others lacked clear evidence for their recommendations. The researchers noted inconsistencies in the application of these principles. The highest frequency of data type references was in symptom-based guidelines. The lowest was observed in test-based guidelines.

Conclusions:

The results suggest that symptoms are more commonly referenced than signs or tests. The application of evidence-based medicine principles varies across guidelines. The findings may be helpful for developers of decision-support systems. The study highlights the need for more consistent evidence application. The researchers propose that these insights can improve guideline quality. They suggest that future work may focus on standardizing evidence use. The study does not claim that these findings are essential for all guidelines. The implications are specific to diagnostic problem-oriented guidelines.

The main outcome is the frequency of symptom, sign, and test references in diagnostic guidelines.

The study analyzed symptoms, signs, and tests as primary data types in guidelines.

Evidence-based medicine ensures that guidelines are supported by reliable clinical data.

Symptoms were most frequently referenced, suggesting their central role in diagnosis.

Guidelines were assessed using a set of characteristics developed by the researchers.

The findings may help developers better integrate diagnostic data into these systems.