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Algorithms support intensive care physicians

Dear Sir or Madam,

In intensive care units, a diagnosis must be made as quickly as possible so that treatment can be given promptly. Algorithms can provide diagnostic aids because they recognize certain disease patterns based on patient data. The ELISE project researches the extent to which intensive care physicians benefit from such a decision support and whether such systems can already be adopted in regular operation. Learn more in our current Interview.

Enjoy reading,

Kyra Molinari
Editorial team MEDICA-tradefair.com

Table of Contents

Interview: Smart Expert System Assists Medical Diagnostics
Topic of the Month: Learning Self-Management Skills with DiGA
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Smart Expert System Assists Medical Diagnostics

Interview

Image: A hospital bed, around which are various devices for patient monitoring; Copyright: PantherMedia / sudok1
A current research project develops a system designed to support critical care physicians in the future. The research project "A Learning and Interoperable Smart Expert System for Pediatric Intensive Care Medicine (ELISE)" uses data collected via machine learning algorithms to assist diagnostic decision-making.
Click here for the interview
Smart Expert System Assists Medical Diagnostics
All interviews at MEDICA-tradefair.com
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DiGA: Learning Self-Management Skills with Evidence-Based Information

Topic of the Month

Image: a person in a brown jacket holding a smartphone with both hands; Copyright: PantherMedia/bernardbodo
Digitization continues to open vast opportunities in medical technology. As a result, Germany reimburses the prescription of an increasing number of approved digital health applications (German: Digitale Gesundheitsanwendungen, DiGA). Specialists collaborate to develop these apps, which offer a variety of low-threshold services to help patients get informed and take charge of their health and disease self-management.
Read more about our topic of the month
DiGA: Learning Self-Management Skills with Evidence-Based Information
Digital healthcare: Treating patients at home
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