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Related Concept Videos

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...
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
Manipulation and Analysis01:21

Manipulation and Analysis

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...
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...
SBAR II: Application of SBAR01:14

SBAR II: Application of SBAR

SBAR is an effective communication tool used by healthcare professionals to communicate patient information accurately. SBAR stands for Situation, Background, Assessment, and Recommendation. For a better understanding, an example is given below.
SBAR Report from a Nurse to a Health Care Provider
S: "Hello, Dr. Smith. This is Jane, RN, from the Med Surg unit. I am calling to tell you about Ms. White in Room 210, who is experiencing increased pain and redness at her incision site. Her recent...
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
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Updated: May 23, 2026

Emergency Undocking in Robotic Surgery: A Simulation Curriculum
06:48

Emergency Undocking in Robotic Surgery: A Simulation Curriculum

Published on: May 20, 2018

Embracing complexity: Integrating the CADEM Framework into disaster and emergency management practice.

Todd Miller1

  • 1Auckland University of Technology.

Journal of Business Continuity & Emergency Planning
|May 22, 2026
PubMed
Summary

Traditional disaster management models are insufficient. The Complex Adaptive Disaster and Emergency Management (CADEM) Framework offers a networked approach, enhancing adaptability and resilience through decentralization and collaboration.

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Last Updated: May 23, 2026

Emergency Undocking in Robotic Surgery: A Simulation Curriculum
06:48

Emergency Undocking in Robotic Surgery: A Simulation Curriculum

Published on: May 20, 2018

Area of Science:

  • Disaster Management
  • Complex Adaptive Systems (CAS)
  • Emergency Response

Background:

  • Traditional hierarchical disaster and emergency management (DEM) models struggle with increasing disaster complexity and unpredictability.
  • A need exists for more adaptive and networked approaches to enhance coordination and resilience.

Purpose of the Study:

  • To introduce and explore the Complex Adaptive Disaster and Emergency Management (CADEM) Framework.
  • To integrate Complex Adaptive Systems (CAS) thinking into disaster and emergency management.
  • To examine the theoretical foundations, elements, and applications of CADEM.

Main Methods:

  • Exploration of Complex Adaptive Systems (CAS) theory.
  • Integration of CAS principles into a novel framework (CADEM).
  • Analysis of CADEM's application across preparedness, response, recovery, and policy.

Main Results:

  • CADEM enables decentralization, emergent collaboration, feedback loops, and diverse knowledge systems.
  • The framework enhances adaptability, coordination, and resilience in DEM.
  • CADEM offers practical applications for various stages of disaster management.

Conclusions:

  • The CADEM Framework provides a robust mechanism for modern disaster and emergency management.
  • CADEM facilitates a shift towards more adaptive and networked DEM strategies.
  • Further research and policy development are needed to fully leverage CADEM's potential.