The goal of this clinical investigation is to create a new type of data basis that can be used to enrich information collected in the course of the classic patient journey, such as medical history forms and discharge letters. Therefore, it is planned to collect new, patient-related and symptom-oriented data on site and directly from patients in the emergency department (female/male; at least 18 years old).
The main question it aims to answer is:
\- Can a detailed medical history with additional enriched information from XUND improve the quality of outpatient care?
Selected patients in the waiting area of the emergency department will record their symptoms on a tablet and answer the questions asked about their symptoms.
a signed informed consent form;
signed consent and admission to the emergency department of the emergency medicine clinic
Triage category 3, 4 or 5 based on the triage procedure according to the Manchester triage system used in Austria
the physical and mental ability to operate the tablet and answer the questions
not meeting all inclusion criteria
German speaking, at least 18 years old, all gender patients in the emergency department (triage category 3, 4, or 5).
Case-only
Cross-sectional
Not listed
XUND Symptom Checker
The fundamental element of the proposed project is the aggregation of novel, patient-related and symptom-oriented data on-site and directly from patients in the emergency department. The objective of this study is to establish a novel type of data basis, with the potential to enhance the information collected during the conventional patient journey, including medical history forms and discharge letters. XUND's Symptom Check, which has been certified as a class IIa medical device, will be used to collect the data. Selected patients in the emergency waiting area record their symptoms on a tablet and answer the questions asked. The Symptom Check is powered by an AI-driven medical knowledge base of 520+ conditions and 21,000+ symptom variants.
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XUND Solutions GmbH
Lead sponsor
Medical University of Graz
Collaborator
