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Related Concept Videos

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...
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...
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...
Classification of Illness01:17

Classification of Illness

The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe and...
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

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A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
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Development of a case-based system for grouping diagnoses in general practice.

Marion C J Biermans1, Dinny H de Bakker, Robert A Verheij

  • 1Department of Medical Informatics, Radboud University Nijmegen Medical Centre, 152 MI, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands. m.biermans@mi.umcn.nl

International Journal of Medical Informatics
|September 18, 2007
PubMed
Summary

EPICON, an application for grouping diagnoses from electronic medical records, accurately estimates general practice morbidity rates. It correctly groups 95% of diagnoses into episodes of care for prevalence and incidence studies.

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Area of Science:

  • Health Informatics
  • General Practice Research
  • Epidemiology

Background:

  • Electronic medical records (EMRs) in general practice contain valuable diagnostic data.
  • Grouping diagnoses into episodes of care is crucial for accurate health statistics.
  • Existing methods may not adequately capture the complexity of patient care pathways.

Purpose of the Study:

  • To develop and evaluate EPICON, an application for grouping International Classification of Primary Care (ICPC)-coded diagnoses.
  • To facilitate the estimation of prevalence and incidence rates using EMR data.
  • To improve the utility of general practice EMRs for epidemiological research.

Main Methods:

  • Development of EPICON using logical expressions, decision tables, and case-based reasoning.
  • Utilized data from 89 general practices in the Dutch National Survey of General Practice.
  • Incorporated expert interviews and documentation review for application design.
  • Conducted a formative evaluation by assessing misclassified diagnoses.

Main Results:

  • EPICON successfully groups diagnoses from electronic medical records across 89 general practices.
  • The application achieves a 95% correct grouping rate for diagnoses.
  • The developed system integrates multiple data processing techniques for robust classification.

Conclusions:

  • EPICON demonstrates adequate performance for estimating morbidity rates in general practice.
  • The application shows promise for enhancing epidemiological studies using EMR data.
  • Further validation may confirm its utility for public health surveillance.