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Technical Detail for Robot Assisted Pancreaticoduodenectomy
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Published on: September 28, 2019

Automatic data processing to achieve a safe telemedical artificial pancreas.

M Elena Hernando1, Gema García-Sáez, Iñaki Martínez-Sarriegui

  • 1Bioengineering and Telemedicine Group, Polytechnic University of Madrid, Madrid, Spain. elena@gbt.tfo.upm.es

Journal of Diabetes Science and Technology
|February 11, 2010
PubMed
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This study shows automatic data analysis is key for a safe telemedical artificial pancreas. It effectively manages risks, improving diabetes care and patient safety.

Area of Science:

  • Endocrinology
  • Medical Informatics
  • Biomedical Engineering

Background:

  • Telemedicine in diabetes care enhances self-monitoring, glycemic control, and decision support.
  • A safe ambulatory artificial pancreas requires telemedicine with automatic data analysis for risk management.

Purpose of the Study:

  • To validate the Intelligent Control Assistant (INCA) telemedical artificial pancreas architecture.
  • To assess the efficacy of the automatic data processing system for risk management (ADP-RM) in managing high-risk situations.

Main Methods:

  • The INCA system integrates a mobile personal assistant with a telemedicine system, supporting four control strategies.
  • ADP-RM performs short-term and medium-term risk analyses, validated through clinical trials with 10 type 1 diabetic patients, in silico simulations, and retrospective data analysis.

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Technical Detail for Robot Assisted Pancreaticoduodenectomy
14:45

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Published on: September 28, 2019

Improving IV Insulin Administration in a Community Hospital
12:08

Improving IV Insulin Administration in a Community Hospital

Published on: June 11, 2012

Main Results:

  • ADP-RM's short-term analysis prevented hypoglycemia by interrupting insulin infusion during in silico closed-loop simulations.
  • Medium-term risk management generated 62 alarms in a clinical experiment, primarily for hyperglycemia (56%), and filtered anomalous glucose records and insulin doses.

Conclusions:

  • Automatic data analysis procedures are essential for safe ambulatory telemedical artificial pancreas systems.
  • The ADP-RM system effectively manages both short-term and medium-term risk situations in diabetes care.