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Information and Communication Technologies in Social and Healthcare Services
Jakoubek, Rostislav ; Havrdová, Zuzana (advisor) ; Lejsal, Matěj (referee)
The thesis discusses how information and communication technologies (ICT or IT), nowadays transforms the form of health and social services. The specific arguments and social events are described, that leads today's health and social services closer to the use of ICT, influence and changes it. The work describes the latest trends linking ICT and social and health services in the areas of e-health, telemedicine, mobile health and assistive technologies. Specific tools and equipment and their practical use are presented. The practical part focuses on the introduction of specific- gadgets tablet care in caring for the elderly. Through direct interviews with caregivers and seniors is investigated how new technology is perceived by caregivers and seniors, how new technology equipment to care are introduced, and what positive and negative impact are the ICT has for facilities and the elderly. Key words assistive technology; eHealth; mHealth; patient engagement; population ageing; senior activation; senior care; telemedicine; touch tablets
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Neuroinformatics and sharing data from medical imaging systems
Klimek, Martin ; Kubásek, Miroslav (referee) ; Provazník, Ivo (advisor)
The presented master's thesis deals with the issue of storing and sharing data from medical imaging systems. This thesis, inter alia, consists of organizational and informatics aspects of medical imaging systems data in multicentric studies containing MRI brain images. This thesis also includes technical design of a web-based application for image data sharing including a web interface suitable for manipulation with the image data stored in a database.
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Zlepšování učinnosti prevence v telemedicíně
Nálevka, Petr ; Svátek, Vojtěch (advisor) ; Berka, Petr (referee) ; Štěpánková, Olga (referee) ; Šárek, Milan (referee)
This thesis employs data-mining techniques and modern information and communication technology to develop methods which may improve efficiency of prevention oriented telemedical programs. In particular this thesis uses the ITAREPS program as a case study and demonstrates that an extension of the program based on the proposed methods may significantly improve the program's efficiency. ITAREPS itself is a state of the art telemedical program operating since 2006. It has been deployed in 8 different countries around the world, and solely in the Czech republic it helped prevent schizophrenic relapse in over 400 participating patients. Outcomes of this thesis are widely applicable not just to schizophrenic patients but also to other psychotic or non-psychotic diseases which follow a relapsing path and satisfy certain preconditions defined in this thesis. Two main areas of improvement are proposed. First, this thesis studies various temporal data-mining methods to improve relapse prediction efficiency based on diagnostic data history. Second, latest telecommunication technologies are used in order to improve quality of the gathered diagnostic data directly at the source.
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