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Related Concept Videos

Methods of Documentation II: POMR01:26

Methods of Documentation II: POMR

The Problem-Oriented Medical Record (POMR) revolutionized medical record-keeping by introducing a systematic approach focusing on the patient's problems rather than merely listing symptoms. Dr. Lawrence Weed's introduction of this method in the 1960s marked a significant advancement in medical documentation. The POMR framework consists of four key components: the database, problem list, plan of care, and progress notes.
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Parametric Surfaces01:30

Parametric Surfaces

A parametric surface in three-dimensional space is defined through a vector-valued function\begin{equation*}\mathbf{r}(u, v) = x(u, v)\mathbf{i} + y(u, v)\mathbf{j} + z(u, v)\mathbf{k}\end{equation*}where u and v are parameters within a specified domain D in the uv-plane. The functions x(u, v), y(u, v), and z(u, v) define the coordinates of points on the surface. As u and v vary over D, the position vector r(u, v) traces a continuous surface in space. This parametric representation is essential...
Steps in the Modeling Process01:14

Steps in the Modeling Process

Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
Per-Unit Sequence Models01:26

Per-Unit Sequence Models

An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
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Related Experiment Video

Updated: Jun 26, 2026

Finite Element Analysis Model for Assessing Expansion Patterns from Surgically Assisted Rapid Palatal Expansion
07:16

Finite Element Analysis Model for Assessing Expansion Patterns from Surgically Assisted Rapid Palatal Expansion

Published on: October 20, 2023

A structured approach to requirements gathering creation using PaJMa models.

Carolyn McGregor1, Jennifer Percival, Joanne Curry

  • 1University of Ontario Institute of Technology, Oshawa, ON L1H 7K4 Canada. c.mcgregor@ieee.org

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 24, 2009
PubMed
Summary

Traditional health information system requirements gathering misses improvements. A patient journey modeling approach (PaJMa) offers a superior method for detailed, inclusive healthcare requirements, enhancing system development.

Related Experiment Videos

Last Updated: Jun 26, 2026

Finite Element Analysis Model for Assessing Expansion Patterns from Surgically Assisted Rapid Palatal Expansion
07:16

Finite Element Analysis Model for Assessing Expansion Patterns from Surgically Assisted Rapid Palatal Expansion

Published on: October 20, 2023

Area of Science:

  • Health Informatics
  • Healthcare Management
  • Systems Engineering

Background:

  • Traditional requirements gathering for health information systems (HIS) often overlooks crucial improvements due to a narrow technical focus.
  • Increasing healthcare system integration, reliance on practice guidelines, and cultural sensitivities necessitate advanced requirements gathering methods.

Purpose of the Study:

  • To evaluate the efficacy of a patient journey modeling approach (PaJMa) for healthcare requirements gathering.
  • To demonstrate PaJMa's ability to capture a wider range of requirements compared to traditional methods.

Main Methods:

  • A case study was conducted at Whitby Mental Health Center.
  • The patient journey modeling approach (PaJMa) was employed for requirements gathering.

Main Results:

  • PaJMa models significantly improved the level of detail in captured requirements.
  • The approach successfully incorporated nonfunctional requirements, essential practices, policies, and metrics.
  • This demonstrates a more comprehensive and effective method for healthcare HIS development.

Conclusions:

  • The patient journey modeling approach (PaJMa) provides a superior framework for healthcare requirements gathering.
  • PaJMa facilitates more detailed, inclusive, and practice-oriented HIS development.
  • This method addresses limitations of traditional technical-focused approaches in complex healthcare settings.