Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis

Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis

The nursing process provides a clinical decision-making framework for patients and families to establish and implement a personalized care plan. Since part of the nurse's duties is to teach patients, the steps of the nursing process are the most effective way to approach instruction. The nursing process and the teaching-learning process are inextricably linked.
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data from the...

Methods of Documentation III: PIE

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:

Nursing Clinical Information System

Nursing Clinical Information System

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:

Clinical Trials

Clinical Trials

Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...

Clinical Trials: Overview

Clinical Trials: Overview

Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...

Dosage Regimens: Designs and Approaches

Dosage Regimens: Designs and Approaches

Designing a dosage regimen, which refers to the manner of drug administration, is a complex process involving the selection of drug dose, route, and frequency. This process is underpinned by pharmacokinetic parameters derived from tests and population averages. These parameters are then tailored to patient-specific variables such as diagnosis, demographics, and allergy status. Once therapy commences, therapeutic response monitoring is critical and achieved through clinical and physical...

You might also read

Related Articles

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

Sort by

Same author

Home Monitoring of High-Risk Individuals Receiving Opioids Post Orthopedic Surgery.

Respiratory care·2025

Same author

Food allergy history and reaction to propofol administration in a large pediatric population.

Paediatric anaesthesia·2021

Same author

Developing positive attitudes toward geriatric nursing among Millennials and Generation Xers.

Nursing education perspectives·2012

Same author

Research and quality improvement experience and knowledge: a nursing survey.

Journal of nursing management·2011

Same author

Is your facility equipped for safe patient handling?

Nursing management·2011

Same author

Feasibility of linking external valuation sources to bedside-caregiver activities in interdisciplinary patient care standards.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2008

Search research articles

Related Experiment Video

Updated: Jun 27, 2026

Using Simulation Models to Train Clinicians in the Use of Point-of-Care Ultrasound

Using Simulation Models to Train Clinicians in the Use of Point-of-Care Ultrasound

Published on: August 9, 2024

Right-sizing clinical education.

Vickie Johnsen¹, Janell Anderson, Lisa Bagley

¹College of Nursing, Brigham Young University, Provo, Utah 84602, USA. vickie-johnsen@byu.edu

Journal for Nurses in Staff Development : JNSD : Official Journal of the National Nursing Staff Development Organization

|December 9, 2008

Summary

This summary is machine-generated.

Hospital administration often prioritizes education cuts during budget reductions. This study explored using management engineering to determine optimal educator staffing levels based on unit-specific needs and negotiated criteria.

Related Experiment Videos

Last Updated: Jun 27, 2026

Using Simulation Models to Train Clinicians in the Use of Point-of-Care Ultrasound

Using Simulation Models to Train Clinicians in the Use of Point-of-Care Ultrasound

Published on: August 9, 2024

Area of Science:

Healthcare Management
Operations Research in Healthcare

Background:

Hospital budgets are frequently constrained, leading to potential reductions in educational programs.
Determining efficient staffing for hospital education departments is a common challenge.

Purpose of the Study:

To apply management engineering principles to optimize educational resource allocation within a hospital setting.
To establish a data-driven method for determining the ideal educator-to-staff ratio per unit.

Main Methods:

Utilized management engineering techniques to analyze educational needs across different hospital units.
Developed and applied negotiated criteria to establish unit-specific educational hour requirements.
Calculated the maximum number of staff one educator could effectively support based on these criteria.

Main Results:

Successfully determined a quantifiable answer to the question of how many staff one educator can represent.
Provided a framework for evidence-based decision-making regarding education staffing levels.
Demonstrated the utility of management engineering in addressing budget-related challenges in hospital education.

Conclusions:

Management engineering offers a viable solution for optimizing education hours and educator representation during budget constraints.
Collaborative development of criteria is essential for successful implementation of such optimization strategies.
Data-driven approaches can ensure continued quality of education while managing costs effectively.