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Updated: Jun 13, 2026

Robotic Cochlear Implantation for Direct Cochlear Access
Published on: June 16, 2022
[Optimizing interdisciplinary flow of information : development of a communication system for a cochlear implant
D Arweiler-Harbeck1, H Bagus, B Ramm
1Klinik für Hals-Nasen-Ohren-Heilkunde, Universitätsklinikum Duisburg-Essen, HNO-Universitätsklinik Essen, Hufelandstrasse 55, 45122, Essen, Deutschland. diana.arweiler-harbeck@uk-essen.de
Background:
Due to the growing number of cochlear implant (CI) patients, a well organized system of patient data allowing swift access is required. Therefore, a databank has been designed to achieve an effective interdisciplinary flow of information between diagnostics, therapy and rehabilitation.
Methods:
The departments of audiology, CI fitting, speech and hearing rehabilitation, logopaedics and medical staff were requested to design forms containing relevant data for the evaluation of diagnostic, therapeutic and rehabilitation outcome. Forms were optimized and finally adjusted to an Access database. Time management and satisfaction of employees were evaluated by questionnaire. The local ethics committee authorized the project.
Results:
To achieve optimal administration of CI patient data a working platform founded on an Access data base was designed. Patient data were available almost immediately after diagnosis and therapy to all other partners within the CI centre, leading to better time management in the planning of CI therapy and consequently improved rehabilitation. In addition, internal communication between the different disciplines improved significantly. A number of data sheets are used to illustrate how the database functions.
Conclusion:
Using this database we were able to improve the flow of information in our CI centre, as well as significantly reduce the time required for administrative tasks such as letters to doctors, health insurances, schools. Finally, data are available for scientific and economic purposes, including their possible long-term integration in an electronic patient file.
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