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Nursing Implementation01:15

Nursing Implementation

Implementation is the execution of the nursing care plan developed during the planning phase.
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Nursing Process for Patient and Caregiver Teaching II: Planning and Implementation01:24

Nursing Process for Patient and Caregiver Teaching II: Planning and Implementation

Planning for learning involves the development of a teaching plan. Teaching plans are similar to nursing care plans—both follow the steps of the nursing process. Planning in the teaching process involves setting goals and outcomes. Here, goals identify what a patient needs to achieve to understand a healthcare topic better, whereas the outcomes are the action to be performed by the patient to achieve the goal within a timeframe. For example, if the goal is to educate the patient about insulin...
Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis01:24

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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...
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
Manipulation and Analysis01:21

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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
Planning Nursing Care II01:29

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A nursing care plan can present in two forms: informal and formal. Informal is a care plan for the individual use of the nurse and goals they wish to accomplish during their shift. Informal care plans are not included in the patient chart. A formal nursing care plan is a written or computerized guide that organizes patient care. It is further subdivided into two: standardized and individualized care plans. Standardized care plans are pre-populated care plans for specific patient populations,...

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Related Experiment Video

Updated: May 26, 2026

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

Using algorithmic practice maps to teach emergency preparedness skills to nurses.

Kimberly D Acquaviva1, Laurie Posey, Ellen M Dawson

  • 1The George Washington University School of Nursing, Washington, DC 20037, USA. acqua@gwu.edu

Journal of Continuing Education in Nursing
|January 5, 2012
PubMed
Summary

This study details a web-based nursing emergency preparedness course using algorithmic decision making. It offers a new, replicable model for accessible, decision-focused online training.

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Area of Science:

  • Nursing Education
  • Public Health Preparedness
  • Online Learning Technologies

Background:

  • Traditional online emergency preparedness training for nurses often follows a linear, didactic approach.
  • Accessibility and location independence are key challenges in delivering effective nursing preparedness education.
  • The U.S. Department of Homeland Security funded research to address these gaps.

Purpose of the Study:

  • To develop a web-based emergency preparedness course for nurses.
  • To create training accessible regardless of work setting or location.
  • To utilize algorithmic decision making as a framework for a more engaging learning experience.

Main Methods:

  • The course design employed algorithmic decision making as a conceptual framework.
  • Algorithmic practice maps were developed to guide the learning experience.
  • The focus shifted from didactic content to a decision-making process focus.

Main Results:

  • The developed course offers an alternative to traditional online training methods.
  • It provides a learning experience centered on the decision-making process.
  • The design aims for enhanced learner engagement and practical application.

Conclusions:

  • The described design offers a replicable structure for developing similar online nursing preparedness courses.
  • Algorithmic decision making provides a robust framework for creating dynamic and effective e-learning.
  • This approach enhances the accessibility and relevance of emergency preparedness training for nurses.