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Related Concept Videos

Insulin Formulations: Types and Delivery01:27

Insulin Formulations: Types and Delivery

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Insulin preparations are categorized by their duration of action into short-acting and long-acting types. Two strategies are used to modify insulin's absorption and pharmacokinetic profile: slowing the absorption post-subcutaneous injection, or altering human insulin's amino acid sequence or protein structure. These changes retain the insulin's ability to bind to the insulin receptor, but alter its behavior in solution or after injection.
Short-acting insulins are divided into...
387
Insulin: Dosing Regimen and Adverse Effects01:16

Insulin: Dosing Regimen and Adverse Effects

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Insulin-replacement therapy usually includes both long-acting insulin (basal) and short-acting insulin (to cater to postprandial needs). In a diverse group of type 1 diabetes patients, the average daily insulin dose is typically 0.5-0.7 units/kg body weight. However, obese patients and pubertal adolescents may need more due to insulin resistance.
The basal dose constitutes about 40%-50% of the total daily dose, with the rest as premeal insulin. The mealtime insulin dose should mirror...
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SBAR II: Application of SBAR01:14

SBAR II: Application of SBAR

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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...
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Two-Compartment Open Model: IV Infusion01:15

Two-Compartment Open Model: IV Infusion

419
A two-compartment model is a vital tool in pharmacokinetics, providing an essential understanding of drug behavior, especially for those administered via zero-order intravenous infusion. This model outlines two compartments: the central compartment, where elimination occurs, and the peripheral compartment.
The model illustrates the decrease in plasma drug concentration from the central compartment with a specific equation. It shows that under steady-state conditions, the drug's input rate...
419
One-Compartment Model: IV Infusion01:09

One-Compartment Model: IV Infusion

351
Intravenous (IV) infusion is often utilized when continuous and controlled drug delivery is necessary, such as during surgery or in the treatment of chronic diseases. This method offers numerous advantages, including immediate drug action, precise control over dosage, and bypassing the first-pass metabolism.
The one-compartment model for IV infusion uses mathematical equations to describe the rate of change in drug quantity in the body. At steady-state or infusion equilibrium, the drug input...
351
One-Compartment Open Model for IV Bolus Administration: General Considerations01:19

One-Compartment Open Model for IV Bolus Administration: General Considerations

477
The one-compartment model is a pharmacokinetic tool that models the body as a single, uniform compartment, facilitating the understanding of drug distribution and elimination. This model is particularly beneficial for intravenous (IV) bolus administration, where the drug rapidly circulates throughout the body.
The drug's presence in the body is defined by an equation representing the difference between the rates of drug entry and exit. Key parameters—elimination rate constant,...
477

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Related Experiment Video

Updated: Nov 14, 2025

Improving IV Insulin Administration in a Community Hospital
12:08

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Smart agent system for insulin infusion protocol management: a simulation-based human factors evaluation study.

Michael A Rosen1,2, Mark Romig3, Zoe Demko4

  • 1Armstrong Institute for Patient Safety and Quality, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA mrosen44@jhmi.edu.

BMJ Quality & Safety
|March 11, 2021
PubMed
Summary
This summary is machine-generated.

A smart agent system significantly reduced insulin dosing errors and task times for critical care nurses compared to manual protocols. This automation improved safety, efficiency, and nurse trust in the system.

Keywords:
human errorhuman factorsmedication safetynursespatient safety

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Area of Science:

  • Critical care medicine
  • Nursing informatics
  • Human factors engineering

Background:

  • Insulin infusion management in critically ill patients is complex and prone to errors.
  • Current manual protocols require significant nurse attention and can lead to delays.

Purpose of the Study:

  • To compare the safety and efficiency of a smart agent (SA) system versus manual protocols for insulin infusion management.
  • To evaluate nurse workload, trust, and usability with the SA system.

Main Methods:

  • A simulation-based human factors evaluation with 20 critical care nurses.
  • Nurses completed 12 insulin infusion scenarios using both manual protocols and the SA system in a within-subjects design.
  • Outcomes included error rates, task completion times, perceived workload, trust, and system usability.

Main Results:

  • The SA system significantly reduced insulin dose errors (0% vs. 17%, p<0.001) and task completion times (p<0.001).
  • Nurses reported significantly lower workload (p<0.001) and higher usability ratings for the SA system.
  • Trust in the SA system increased significantly after repeated exposure.

Conclusions:

  • The smart agent system enhances safety and efficiency in insulin infusion management.
  • Automation through the SA system optimizes critical care nursing workflows.
  • A systems engineering approach can successfully integrate technology to improve patient care outcomes.