A Big-Data Informed Model Approach to Hearing Health Policy Decision Making

The quest for evidence-based decision making in hearing health has largely remained unfulfilled up until now. One of the main reasons is that comprehensive information on hearing-health related factors entangled with the opportunity to make objective comparisons between potential interventions. EVOTION is expected to provide a game-change in this area, by developing a Big Data Informed Decision System to support hearing health policy making at several levels. A framework featuring relevant links between hearing health related factors and models, as the latter have been developed in EVOTION, along with their scientifically proven impact is hereby established to facilitate the investigation for more effective hearing health related strategies in the future.

[1]  Bianca Rimini,et al.  Requalifying public buildings and utilities using a group decision support system , 2017 .

[2]  Andrés Gómez,et al.  Decision Support System for maintenance policy optimization in medicinal gases subsystems , 2016 .

[3]  M. Dobbins,et al.  Tools to support evidence-informed public health decision making , 2014, BMC Public Health.

[4]  S. Yazdani,et al.  Developing a decision support system to link health technology assessment (HTA) reports to the health system policies in Iran , 2016, Health policy and planning.

[5]  Dimitris Koutsouris,et al.  The EVOTION Decision Support System: Utilizing It for Public Health Policy-Making in Hearing Loss , 2017, ICIMTH.

[6]  Panagiotis Tzionas,et al.  An intelligent multi-agent based decision support system for refugee settlement siting , 2018, International Journal of Disaster Risk Reduction.

[7]  George Spanoudakis,et al.  Towards a Model-Driven Platform for Evidence based Public Health Policy Making , 2017, SEKE.

[8]  Nicolino J. Pizzi,et al.  A public health decision support system framework using approximate reasoning methods , 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

[9]  Bernd Blobel,et al.  A Public Health Decision Support System Model Using Reasoning Methods , 2015, pHealth.

[10]  Adriana Valente,et al.  Determinants of evidence use in public health policy making: Results from a study across six EU countries , 2017, Health policy.

[11]  K. Brown,et al.  Factors influencing application of behavioural science evidence by public health decision-makers and practitioners, and implications for practice , 2018, Preventive medicine reports.

[12]  Zbigniew W. Ras,et al.  Decision Support System for Diagnosis and Treatment of Hearing Disorders - The Case of Tinnitus , 2017, Studies in Computational Intelligence.

[13]  George Spanoudakis,et al.  Public Health Policy for Management of Hearing Impairments Based on Big Data Analytics: EVOTION at Genesis , 2017, 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE).