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Related Concept Videos

Flow Sheet01:17

Flow Sheet

Flowsheets are valuable tools in nursing documentation. They enable healthcare professionals to efficiently record and monitor various patient assessments and measurements in a consolidated format.
Here's a closer look at the examples of flowsheets commonly used by nurses:
Graphic Sheet Documentation:
Formats for Nursing Documentation01:28

Formats for Nursing Documentation

Nursing documentation encompasses various formats designed to capture precise patient data, facilitate communication among healthcare team members, and ensure comprehensive and accurate patient records. Let's explore each of these formats in detail:
Nursing Assessment Form:
• A nursing assessment form is a foundational document that captures detailed patient data from physical assessments and nursing histories.
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Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

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Methods of Documentation IV: Focus Charting01:26

Methods of Documentation IV: Focus Charting

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Design Example: Flow of Oil Through Circular Pipes01:25

Design Example: Flow of Oil Through Circular Pipes

Understanding fluid flow behavior through pipes is critical in fluid mechanics, especially in applications like oil transportation through pipelines. Hagen-Poiseuille's law provides an exact solution derived from the Navier-Stokes equations for steady, incompressible, and laminar flow within a circular pipe. Hagen-Poiseuille's law helps determine the necessary pressure drop across a pipeline section by determining parameters like pipe length, radius, oil viscosity, and the desired volumetric...
Blood Flow01:29

Blood Flow

Blood is pumped by the heart into the aorta, the largest artery in the body, and then into increasingly smaller arteries, arterioles, and capillaries. The velocity of blood flow decreases with increased cross-sectional blood vessel area. As blood returns to the heart through venules and veins, its velocity increases. The movement of blood is encouraged by smooth muscle in the vessel walls, the movement of skeletal muscle surrounding the vessels, and one-way valves that prevent backflow.

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Related Experiment Video

Updated: May 20, 2026

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature
09:39

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

Published on: November 18, 2019

Visualising patient flow.

Andrew Jensen1, Justin Boyle, Sankalp Khanna

  • 1The University of Queensland.

Studies in Health Technology and Informatics
|July 17, 2012
PubMed
Summary
This summary is machine-generated.

This study developed a tool to transform clinical data into patient flow insights for better hospital bed management. The system visualizes patient movement, aiding decision-making for hospital managers.

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Area of Science:

  • Health Informatics
  • Hospital Management
  • Data Visualization

Background:

  • Effective hospital bed management is crucial for operational efficiency and patient care.
  • Existing methods for analyzing patient flow often lack real-time, integrated data visualization.
  • Clinical data is routinely collected but not always effectively utilized for strategic planning.

Purpose of the Study:

  • To develop and validate a method for converting routine clinical data into actionable patient flow information.
  • To create a user-friendly interface for visualizing patient flow dynamics within a hospital setting.
  • To support hospital bed managers with data-driven insights for daily decision-making.

Main Methods:

  • Utilized state-wide emergency department and inpatient clinical information system data.
  • Developed a software tool with a user-friendly interface for patient flow visualization.
  • Incorporated a variable time scale (day, week, month, year) for historical data analysis.
  • Included filtering options by patient demographics, diagnosis, and admission details.

Main Results:

  • Successfully distilled clinical data into comprehensive patient flow metrics including occupancy, arrival/departure rates, and length-of-stay.
  • Enabled visualization of patient flow across different time scales and detailed filtering capabilities.
  • Demonstrated the potential for improved understanding of hospital operational dynamics.

Conclusions:

  • The developed method and tool effectively translate clinical data into valuable patient flow information.
  • This approach can significantly enhance hospital bed management and operational decision-making.
  • Provides a scalable solution for hospitals seeking to optimize resource allocation through data analytics.