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Insulin: Dosing Regimen and Adverse Effects

Insulin: Dosing Regimen and Adverse Effects

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Updated: May 29, 2026

Improving IV Insulin Administration in a Community Hospital

Improving IV Insulin Administration in a Community Hospital

Published on: June 11, 2012

Development of a web-based decision support system for insulin self-titration.

A C R Simon¹, F Holleman, J B Hoekstra

¹Department of Medical Informatics, Academic Medical Center, Amsterdam, The Netherlands.

Studies in Health Technology and Informatics

|September 7, 2011

Summary

This study introduces a web-based system to help type 2 diabetes patients manage their once-daily long-acting insulin doses. The system simplifies insulin self-titration, improving blood glucose control and patient management.

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A Point-of-Care Method with Integrated Decision Support Tool to Estimate Anemia at Population Level

A Point-of-Care Method with Integrated Decision Support Tool to Estimate Anemia at Population Level

Published on: January 19, 2024

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Last Updated: May 29, 2026

Improving IV Insulin Administration in a Community Hospital

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Published on: June 11, 2012

A Point-of-Care Method with Integrated Decision Support Tool to Estimate Anemia at Population Level

A Point-of-Care Method with Integrated Decision Support Tool to Estimate Anemia at Population Level

Published on: January 19, 2024

Area of Science:

Endocrinology
Diabetes Management
Health Informatics

Background:

Insulin therapy is crucial for diabetes mellitus management.
Effective insulin treatment necessitates regular blood glucose monitoring and dose adjustment (titration).
Current titration methods can be challenging for patients, particularly those with type 2 diabetes.

Purpose of the Study:

To present the development and design of a novel web-based decision support system for insulin self-titration.
To guide patients with type 2 diabetes on once-daily long-acting insulin therapy.
To outline the system's functionalities based on elicited patient and expert requirements.

Main Methods:

Literature review to identify existing practices and challenges in insulin titration.
Expert panel consultations to gather clinical insights and requirements.
Patient interviews to understand user needs and preferences for a self-titration system.
Iterative development of a web-based decision support system incorporating identified requirements.

Main Results:

Identified four key aspects for system development: insulin titration algorithm, hypoglycemia management, telemedicine features, and visit frequency monitoring.
Developed a fully functional web-based decision support system tailored to patient needs.
The system aims to empower patients in managing their insulin dosage effectively.

Conclusions:

The developed web-based system provides a structured approach to insulin self-titration for type 2 diabetes patients.
The system integrates essential features like an algorithm, hypoglycemia handling, and telemedicine support.
This tool has the potential to improve diabetes self-management and patient outcomes.