Why a Clinical Decision Support System is needed for Tinnitus?

  title={Why a Clinical Decision Support System is needed for Tinnitus?},
  author={Michail Sarafidis and Ourania Manta and Ioannis N. Kouris and Winfried Schlee and Dimitrios Kikidis and Eleftheria Vellidou and Dimitris Koutsouris},
  journal={2021 43rd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC)},
Tinnitus is the perception of a phantom sound and the individual’s reaction to it. Although much progress has been made, tinnitus remains an unresolved scientific and clinical issue, affecting more than 10% of the general population and having a high prevalence and socioeconomic burden. Clinical decision support systems (CDSS) are used to assist clinicians in their complex decision-making processes, having been proved that they improve healthcare delivery. In this paper, we present a CDSS for… 

Figures and Tables from this paper

Predicting the optimal therapeutic intervention for tinnitus patients using random forest regression: A preliminary study of UNITI's decision support system model

A preliminary study of the CDSS model development process is presented, describing the available input data, the pre-processing steps conducted, the algorithms tested to model the C DSS’ prediction, the models' results, and the future work in the context of this project.

Electrophysiological differences in distinct hearing threshold level individuals with and without tinnitus distress

The results of the analysis indicated some statistically significant differences in AMLR latencies and amplitudes between the compared groups, which is a useful indicator for the evaluation of auditory disorders such as tinnitus and hearing loss.

Specialty grand challenge: Smarter solutions for tinnitus

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) and the use, distribution or reproduction in other forums is permitted, provided the original author and the copyright owner are credited and that the original publication in this journal is cited.



Using Big Data to Develop a Clinical Decision Support System for Tinnitus Treatment.

The conceptual basis for a tinnitus treatment selection decision support system (DSS) is defined and the big data set and the knowledge base on which the DSS will be based and the algorithms that will be used for prognosis and treatment selection are described.

Tinnitus: the complexity of standardization.

Clinical guidelines should not be restricted to recommendations that are supported by high-level evidence, and should also contain treatment recommendations that have shown clinically highly relevant effects in case series of specific tinnitus subgroups.

Treatment options for subjective tinnitus: Self reports from a sample of general practitioners and ENT physicians within Europe and the USA

Clinicians working in six Westernized countries were surveyed to establish the range of referral pathways, evaluate the typical treatment options for categories of subjective tinnitus defined as acute or chronic, and seek clinical opinion about levels of satisfaction with current standards of practice.

An economic evaluation of the healthcare cost of tinnitus management in the UK

The objective of this project was to map out existing clinical practice, estimate the NHS costs associated with the management approaches used, and obtain initial indicative estimates of cost-effectiveness.

Management of tinnitus in English NHS audiology departments: an evaluation of current practice

It is recommended that core elements of practice should be standardized, including use of a validated tinnitus questionnaires and an agreed pathway for decision making to better understand the rationale for management strategies offered.

Tinnitus: causes and clinical management

A review of tinnitus

The aim of this article is to define and provide guidelines on causes, assessment, appropriate investigation and management of tinnitus.

Primary care for tinnitus: practice and opinion among GPs in England

Evaluated how people with tinnitus are assessed and managed in general practice in England, noting variation in practice across GPs and health authorities, and evaluating how closely typical practice aligns to the Department of Health's Good Practice Guide for tinn Titus.

From Mining Tinnitus Database to Tinnitus Decision-Support System, Initial Study

The paper describes the knowledge discovery and machine learning process and introduces several new temporal features to improve tinnitus evaluation, outcomes analysis, and overall understanding.