Validierung eines Algorithmus zur Terminvergabe in einer Gefäßambulanz

Ziel der Arbeit war die Validierung einer App für die Terminvereinbarung in einer gefäßmedizinischen Ambulanz. Für die häufigsten Verdachtsdiagnosen einer gefäßmedizinischen Sprechstunde wurden elf Algorithmen entwickelt und in eine App programmiert. Die Überprüfung der Dringlichkeitseinstufung der...

Full description

Saved in:
Bibliographic Details
Main Author: Woermann, Carolin Christina
Contributors: Stegemann, Emilia (PD Dr.) (Thesis advisor)
Format: Doctoral Thesis
Language:German
Published: Philipps-Universität Marburg 2023
Subjects:
Online Access:PDF Full Text
Tags: Add Tag
No Tags, Be the first to tag this record!

The aim of the doctoral thesis was to validate an app for making appointments in a vascular medicine outpatient clinic. Eleven algorithms were developed and programmed into an app for the most common suspected diagnoses in a vascular medicine consultation. The review of the urgency classification of the algorithms in comparison with the appointment scheduling by two experienced specialists showed that the algorithms have a very high level of agreement with the specialist standard and can therefore be regarded as valid. In contrast to the two specialists, the medical assistants who usually used to make appointments showed a very heterogeneous urgency classification. Applied to everyday clinical practice, it means that on the one hand that patients are at risk if appointments are made too late and on the other hand that the effectiveness of the consultation is reduced if appointments are made too early. When using the app as an algorithm, the appointment allocation was able to almost completely reach the requirements of the reference. This led to reliable and consistent appointment allocation, which was independent of the user's knowledge. In addition, the time required was significant reduced due to the structured management of patient queries. There was a clear benefit for making appointments with the help of the algorithms in the app, so the next step is to obtain the approval to use it in everyday clinical practice.