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Related Concept Videos

Flow Sheet01:17

Flow Sheet

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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:
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Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

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Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
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Typical Model Studies01:30

Typical Model Studies

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Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
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Design Example: Flow of Oil Through Circular Pipes01:25

Design Example: Flow of Oil Through Circular Pipes

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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...
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Modeling and Similitude01:12

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Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
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Flow Cytometry01:23

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The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
In...
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Modeling Flowsheet Data to Support Secondary Use.

Bonnie L Westra1, Beverly Christie, Steven G Johnson

  • 1Author Affiliations: School of Nursing (Drs Westra, Johnson, Pruinelli, Park, Delaney, and Gao) and Institute for Health Informatics, University of Minnesota (Drs Westra, Delaney, and Speedie); Fairview Health Services & University of Minnesota Health (Drs Christie, LaFlamme, and Sherman), Minneapolis, MN.

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This summary is machine-generated.

This study developed 10 information models from electronic health record flowsheet data. These models standardize diverse patient assessment measures, improving data comparability for research.

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Area of Science:

  • Health Informatics
  • Clinical Data Management
  • Data Standardization

Background:

  • Electronic health records (EHRs) contain extensive patient data in flowsheets.
  • Flowsheet data present challenges for secondary use due to semantically equivalent but differently named measures.
  • This variability hinders data aggregation and analysis across different clinical settings and documentation practices.

Purpose of the Study:

  • To create data-driven, consensus-based information models from EHR flowsheet data.
  • To standardize semantically equivalent measures within flowsheets.
  • To facilitate the secondary use of clinical data for research.

Main Methods:

  • A data-driven consensus-based method was employed.
  • Information models were developed for 5 quality measures and 5 physiological systems.
  • The models aimed to consolidate numerous source measures into standardized concepts.

Main Results:

  • Ten information models were created, reducing 1552 source measures to 557 concepts.
  • Representational reduction varied from 3% (falls) to 78% (respiratory system).
  • The models enable mapping of flowsheet data for semantically comparable measures across different contexts.

Conclusions:

  • The developed information models simplify flowsheet data representation.
  • They provide a foundation for integrating nursing and interprofessional data into common data models.
  • These models support enhanced research capabilities within and across health systems.