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Related Concept Videos

Integration by Parts: Problem Solving01:29

Integration by Parts: Problem Solving

Smart speakers process voice commands by modeling audio inputs as piecewise functions and analyzing them through integration against trigonometric functions, such as cosine. This mathematical approach is fundamental in signal processing, where complex sound waves are decomposed into simpler frequency components.Consider a definite integral involving a piecewise function multiplied by a cosine function. Because the function is defined differently over separate intervals, the integral is split...
Application of Integration: Problem Solving01:30

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The process of breathing involves the periodic intake and expulsion of air, known as the respiratory cycle, which typically lasts about five seconds. Modeling the volume of air inhaled into the lungs as a function of time provides insight into both the dynamics and efficiency of pulmonary ventilation. This volume is determined by integrating the airflow rate over time, which captures the cumulative effect of air entering the lungs.Sinusoidal Model of AirflowAirflow during respiration is not...
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Op-amp circuits have significant applications in various fields, including automotive engineering. One such application is cruise control systems in cars, where op-amp circuits are integral for maintaining a constant speed. In these systems, op-amps function as both integrators and differentiators.
An integrator within an op-amp circuit produces an output directly proportional to the integral of the input signal. This is achieved by replacing the feedback resistor in a typical inverting...
Integration of Synaptic Events01:28

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Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
Growth Models with Integration: Problem Solving01:27

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In population modeling, integration provides a systematic way to determine accumulated quantities from known rates of change. One such application arises in ecology, where the total weight of a fish population in a body of water is referred to as its biomass. When the rate of growth of this biomass is known as a function of time, calculus can be used to determine the total biomass at a future date.Growth Rate and Biomass FunctionLet the growth rate of the fish population be represented by a...
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Approximate Integration

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Dissociation of the Confounding Influences of Expectancy and Integrative Difficulty Residing in Anomalous Sentences in Event-related Potential Studies
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Dissociation of the Confounding Influences of Expectancy and Integrative Difficulty Residing in Anomalous Sentences in Event-related Potential Studies

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Integration as interdependent workaround.

Gunnar Ellingsen1, Eric Monteiro, Kristoffer Røed

  • 1Department of Clinical Medicine, Telemedicine and e-Health Research Group, University of Tromsø, 9037 Tromsø, Norway. gunnar.ellingsen@hn-ikt.no

International Journal of Medical Informatics
|October 23, 2012
PubMed
Summary
This summary is machine-generated.

Integrating healthcare systems reveals complex challenges that span across organizations and professions. Understanding these interdependencies is key to managing emergent complexities in healthcare integration.

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Area of Science:

  • Health Services Research
  • Information Systems
  • Organizational Studies

Background:

  • Healthcare systems are increasingly integrating across organizational, geographical, and professional boundaries.
  • This integration introduces novel and often poorly understood complexities.
  • Existing research often overlooks the emergent nature of these complexities.

Purpose of the Study:

  • To explore the emergence of new complexities during healthcare system integration.
  • To analyze how integration across boundaries creates unforeseen challenges.
  • To understand the interplay between local practices and broader system interdependencies.

Main Methods:

  • Employs an interpretive research approach.
  • Utilizes a longitudinal study design to track changes over time.
  • Focuses on empirical illustration of system interdependencies.

Main Results:

  • Empirical evidence shows that integrated systems escalate the type, extent, and degree of complexities.
  • These complexities transcend previously isolated local systems and practices.
  • Local workarounds become interdependent with broader system changes.

Conclusions:

  • The concept of information infrastructure is valuable for analyzing local/global interdependencies.
  • It helps to empirically trace how local and global aspects are interconnected.
  • This framework aids in understanding and managing complexities in integrated healthcare settings.