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Health Care Information Technologies Innovation
The concept of innovation in medicine is associated with something new that will have a positive effect in an area where it will be introduced. Innovation is also about something that will work better, than whatever. Healthcare is one of the important areas and it is open to new experts, for contemporary information technologies and innovative start-ups. In such a socially significant sphere as healthcare industry, innovation activity has become vital especially in such areas as automation of physician working place, creation of unified electronic medical record, distribution of intelligent decision support systems for medical solutions, application and wide dissemination of new medical technologies, telemedicine development. The intersection of medicine and ICT has led to the emergence of a new sector of economy - Health IT. The main goal of this research is to identify the most attractive directions for ICT innovations in healthcare industry. This paper deals with the issues of international researches in the field of Health IT innovation. The types of ICT innovations in health care system are quite different and comprise several categories. The authors will consider in detail the next from them: Electronic Health Records, Clinical Decision Support Systems, Telemedicine, and Internet of Things. It is empirical and theoretical research in equal measure. The research is based on literature review, analysis of large volumes of information, and findings of investigations in this field. The theoretical contribution and practical value of the work is based on consideration and analysis of the distinction between implementation of IT innovation in Italian, Russian, and American health care system according to Triple-Helix Model. Research methodology is methods and procedures of system and comparative analysis, deduction by analogy and modelling. The paper also contains the comprehensive review and comparison the types of ICT innovations in healthcare sector, and it focuses on the main characteristics of Clinical Decision Support Systems.
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