July 5th-7th, 2019, Brechtbau, Tuebingen, Germany

Challenge H

„General medical anamnesis“

Proposed by:

Universitätsklinikum Tübingen

KV1 Zentralbereich Medizin: Struktur-, Prozess- und Qualitätsmanagement

HNO-Universitätsklinik Tübingen

Background

The University Hospital of Tuebingen with its more than 9,000 employees treated 367,000 outpatients and 74,000 inpatients in 2017. Of these, approximately 17,000 were treated at the University Hospital for Otorhinolaryngology.

Problem

In the context of the medical admission of the patients, extensive medical information must be collected from them (e.g. reason for visit, current medication, previous illnesses and previous therapy measures). It regularly turns out that many patients appear unprepared for the planned admission on the one hand and are partly overwhelmed with the questions in the acute situation (excitement during a hospital visit) on the other hand and are unable to answer the questions necessary for the medical treatment to the satisfaction of the practitioners throughout. This results in dangers for optimal medical diagnostics and therapy as well as additional organizational expenses for the subsequent procurement of the outstanding information. In addition, there are avoidable risks for the patients (interactions with medications for unknown medication, performance of avoidable double examinations, etc.).

Challenge

Elaboration of a solution approach for the collection of a best possible general medical „anamnesis“ – possibly even before the actual visit of the patients in their accustomed environment and with the possibility of using persons from the private environment of the patients for support if necessary. For the patients and practitioners of the ENT clinic, this is intended to create the possibility of collecting the necessary preliminary information for the treatment in the best possible way.

Roles

Experts from the ENT medical field, employees from inpatient admission, programmers

Supporting material/available resources/support

Current anamnesis forms, Standard Cloud-Technologies like IBM-Cloud or Amazon AWS

2019-05-08T23:48:03+00:00

Um unsere Webseite für Sie optimal zu gestalten und fortlaufend verbessern zu können, verwenden wir Cookies. Durch die weitere Nutzung der Webseite stimmen Sie der Verwendung von Cookies zu. Weitere Informationen zu Cookies erhalten Sie in unserer Datenschutzerklärung

The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.

Close