Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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...
1.3K
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...
2.9K
Formulating and Validating Nursing Diagnosis I01:26

Formulating and Validating Nursing Diagnosis I

2.8K
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...
2.8K
Nursing Diagnosis01:22

Nursing Diagnosis

2.8K
Following assessment, a nursing diagnosis is the next step in the nursing process. It begins after the nurse has collected and recorded the patient data. The purpose of diagnosing is to identify how the client responds to actual or potential health processes, identify factors that bestow or that cause health problems, the etiologies, and identify resources or strengths the individual, group, or community can draw on to prevent or resolve problems.
The nursing diagnosis focuses on evidence-based...
2.8K
Diagnostic and Statistical Manual of Mental Disorders (DSM)01:27

Diagnostic and Statistical Manual of Mental Disorders (DSM)

117
The Diagnostic and Statistical Manual of Mental Disorders (DSM) serves as the primary classification system for mental health disorders, providing standardized diagnostic criteria for clinicians and researchers. First published by the American Psychiatric Association (APA) in 1952, the DSM has undergone several revisions to reflect evolving psychiatric understanding. The fifth edition, DSM-5, released in 2013, introduced key updates that expanded diagnostic categories and modified diagnostic...
117
Urinary Tract Infection III: Diagnostic Studies and Interprofessional Care01:30

Urinary Tract Infection III: Diagnostic Studies and Interprofessional Care

23
A healthcare provider can diagnose a urinary tract infection (UTI) through several methods:Medical History and Symptoms: The provider will take a detailed medical history and ask about symptoms such as frequent urination, burning sensation during urination, and lower abdominal pain.Urinalysis: A clean-catch urine sample is collected in a sterile container and tested for the presence of bacteria, white blood cells (leukocytes), nitrites, blood, and protein. The presence of leukocytes and...
23

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Antibody repertoire associated with clinically diverse presentations of pediatric SARS-CoV-2 infection.

Scientific reports·2026
Same author

Nosocomial patient exposure to a healthcare worker with active tuberculosis in a paediatric setting: a contact investigation.

The Journal of hospital infection·2026
Same author

Vital Sign and Nursing Assessment Patterns in Emergency Transfers to the Intensive Care Unit.

Hospital pediatrics·2026
Same author

Applying the model for improvement to enhance recruitment and retention in a discharge intervention randomized controlled trial.

Journal of hospital medicine·2026
Same author

Identification and assessment of paediatric cefepime-induced neurotoxicity in a retrospective cohort of paediatric intensive care patients.

The Journal of antimicrobial chemotherapy·2026
Same author

Hospital Pediatrics' Commitment to Growing Our Field's Peer Reviewer Pool.

Hospital pediatrics·2026

Related Experiment Video

Updated: Aug 20, 2025

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

495

Diagnosis Code and Health Care Utilization Patterns Associated With Diagnostic Uncertainty.

Trisha L Marshall1,2, Philip A Hagedorn1,2,3,4, Courtney Sump1,2

  • 1Division of Hospital Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.

Hospital Pediatrics
|November 21, 2022
PubMed
Summary
This summary is machine-generated.

Hospitalized children with uncertain diagnoses (UD) use more non-disease codes and experience higher healthcare utilization. This highlights significant differences in care patterns for UD cases compared to controls.

More Related Videos

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

14.6K
A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

3.9K

Related Experiment Videos

Last Updated: Aug 20, 2025

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

495
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

14.6K
A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

3.9K

Area of Science:

  • Pediatric Hospital Medicine
  • Health Services Research
  • Clinical Informatics

Background:

  • Diagnostic uncertainty presents challenges in clinical practice and research.
  • Identifying and studying hospitalized children with uncertain diagnoses (UD) is difficult.
  • This study compares diagnosis coding and healthcare utilization in UD cases versus matched controls.

Purpose of the Study:

  • To compare diagnosis code patterns between hospitalized children with UD and matched controls.
  • To assess differences in healthcare utilization for pediatric patients with UD.
  • To understand the impact of diagnostic uncertainty on healthcare resource allocation.

Main Methods:

  • A case-control study at Cincinnati Children's Hospital Medical Center.
  • UD cases were matched with control patients based on age, sex, and time of year.
  • Outcomes included diagnosis code type, code changes, length of stay, transfers, consultations, and readmissions.

Main Results:

  • UD cases were 8 times more likely to receive nondisease-based diagnosis codes.
  • UD cases had a 2.5 times higher likelihood of diagnosis code changes from admission to discharge.
  • UD cases exhibited longer hospital stays, higher transfer rates, increased consultation use, and more 30-day readmissions.

Conclusions:

  • Hospitalized children with UD demonstrate distinct diagnosis coding practices.
  • UD is associated with significantly increased healthcare utilization in pediatric patients.
  • These findings underscore the need for better management strategies for diagnostic uncertainty in children.