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

Nursing Interventions II: Selecting and Classifying the Nursing Interventions01:29

Nursing Interventions II: Selecting and Classifying the Nursing Interventions

3.6K
Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:
3.6K
Nursing Clinical Information System01:27

Nursing Clinical Information System

1.3K
Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
1.3K
Classification of Systems-I01:26

Classification of Systems-I

648
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
648
Classification of Illness01:17

Classification of Illness

9.2K
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...
9.2K
Classification of Systems-II01:31

Classification of Systems-II

544
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
544
Planning Nursing Care I01:21

Planning Nursing Care I

6.3K
The planning phase of the nursing process helps nurses set priorities, outline patient-centered goals and expected outcomes, and tailor nursing interventions to align with the aligned care plan. Through the planning phase, the nurse applies critical thinking skills to align and develop interventions according to the patient's needs. It provides continuity of care allowing patients to receive the maximum benefit from treatment. It serves as a pilot plan for allocating individual staff to a...
6.3K

You might also read

Related Articles

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

Sort by
Same author

Systemic and characteristic metabolites in the serum of streptozotocin-induced diabetic rats at different stages as revealed by a (1)H-NMR based metabonomic approach.

Molecular bioSystems·2014
Same author

Syntheses of asymmetric zinc phthalocyanines as sensitizer of Pt-loaded graphitic carbon nitride for efficient visible/near-IR-light-driven H2 production.

Physical chemistry chemical physics : PCCP·2014
Same author

Entropy: a conceptual approach to measuring situation-level workload within emergency care and its relationship to emergency department crowding.

The Journal of emergency medicine·2014
Same author

[Cerebral microbleeds detected on T2-weighted gradient echo magnetic resonance and its clinical significance].

Zhonghua yi xue za zhi·2014
Same author

XB130 promotes proliferation and invasion of gastric cancer cells.

Journal of translational medicine·2014
Same author

GeneOptimizer program-assisted cDNA reengineering enhances sRAGE autologous expression in Chinese hamster ovary cells.

Protein expression and purification·2013

Related Experiment Video

Updated: Mar 12, 2026

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
19:15

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Published on: August 25, 2014

88.3K

Developing a Patient Classification System for a Neonatal ICU.

Nancy M Daraiseh1, William P Vidonish, Pam Kiessling

  • 1Author Affiliations: Assistant Professor (Dr Daraiseh), Research in Patient Services and James M. Anderson Center for Health Systems Excellence; Project Manager (Mr Vidonish and Ms Keissling), Center for Professional Excellence; Statistician, Research in Patient Services (Ms Lin), Cincinnati Children's Hospital Medical Center, Ohio.

The Journal of Nursing Administration
|November 17, 2016
PubMed
Summary
This summary is machine-generated.

A new patient classification system (PCS) for neonatal intensive care units (NICUs) was developed and found to be valid and reliable. This tool accurately measures care hours needed for neonatal patients.

More Related Videos

A Modified Sonographic Algorithm for Image Acquisition in Life-Threatening Emergencies in the Critically Ill Newborn
11:27

A Modified Sonographic Algorithm for Image Acquisition in Life-Threatening Emergencies in the Critically Ill Newborn

Published on: April 7, 2023

7.7K
How to Administer Near-Infrared Spectroscopy in Critically ill Neonates, Infants, and Children
07:27

How to Administer Near-Infrared Spectroscopy in Critically ill Neonates, Infants, and Children

Published on: August 19, 2020

12.7K

Related Experiment Videos

Last Updated: Mar 12, 2026

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
19:15

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Published on: August 25, 2014

88.3K
A Modified Sonographic Algorithm for Image Acquisition in Life-Threatening Emergencies in the Critically Ill Newborn
11:27

A Modified Sonographic Algorithm for Image Acquisition in Life-Threatening Emergencies in the Critically Ill Newborn

Published on: April 7, 2023

7.7K
How to Administer Near-Infrared Spectroscopy in Critically ill Neonates, Infants, and Children
07:27

How to Administer Near-Infrared Spectroscopy in Critically ill Neonates, Infants, and Children

Published on: August 19, 2020

12.7K

Area of Science:

  • Neonatal intensive care unit (NICU) care management
  • Healthcare systems engineering
  • Pediatric patient classification

Background:

  • Patient classification systems (PCS) are crucial for resource allocation in healthcare.
  • Existing PCS lack validity and reliability for pediatric populations, particularly in Neonatal Intensive Care Units (NICUs).
  • Differences in patient needs and treatment protocols necessitate specialized pediatric PCS.

Purpose of the Study:

  • To develop a valid and reliable Patient Classification System (PCS) tailored for the Neonatal Intensive Care Unit (NICU).
  • To create a standardized tool for assessing and quantifying patient care requirements in a NICU setting.

Main Methods:

  • Data collection involved work sampling, chart reviews, and expert consensus within a NICU.
  • The developed PCS underwent rigorous assessment for validity, reliability, usability, and effectiveness.
  • Nurse satisfaction with the new PCS was evaluated through surveys.

Main Results:

  • The NICU PCS demonstrated statistically significant high levels of reliability and validity.
  • Survey data indicated that nurses found the PCS to be user-friendly and effective in practice.
  • The system accurately reflects the complexity of care required for neonatal patients.

Conclusions:

  • The developed NICU PCS is a valid and reliable instrument for determining patient care hours.
  • The system effectively integrates subjective and objective data to measure hours per patient day.
  • This PCS provides a foundation for improved staffing, budgeting, and resource allocation in NICUs.