The timeliness of development and formulation of general requirements and architecture of integrated onto-based information analytical environment of scientific research, professional healing and e-learning of Chinese image medicine as a promising component of integrative medicine is substantiated in the article. Scientific evidence-based integrative medicine is typical for conventional medicine; but unlike the conventional, the integrative medicine synthesizes experience and engages all the best achievements of ancient medicine and contemporary Western one. The integrative medicine is not a new field of medicine; it is its new paradigm that facilitates the new quality of healthcare services.
Traditional Chinese medicine experienced a number of comprehensive clinical researches, theoretical scientific studies and relevant information analysis means were developed (ontologies, expert systems, grid systems), there is no such research and significant information analysis means for Chinese image medicine. The development of integrated onto-based information analytical environment of scientific research, professional healing and e-learning of Chinese image medicine is aimed to ensure the effective organization and coordination of existing professionals of Chinese image medicine, its scientific researchers, people who study Chinese image medicine and the establishing of modern intellectualized information means and resources in traditional, complementary and integrative medicine on a national and worldwide basis. The developing information environment will enable on a high scientific, technological and infrastructure levels data collection and automated statistical and intellectualized analysis of treatment results by means of Chinese imagine medicine; will facilitate the creation of a unified database of theoretical, experimental and clinical research in integrative medicine.
Onto-basis of the developed integrated information environment will help to unify, standardize the technologies of information submission (data and knowledge) in traditional Chinese medicine and Chinese image medicine that will make it possible to solve the problem of semantic heterogeneity of poorly structured and hard formalized knowledge of Chinese image medicine because the use of ontologies eliminates subjective factors, polysemantics, fuzziness of images and concepts that are explicitly or implicitly operated by complementary medicine specialists in diagnostic and therapeutic decision-making. In addition, the developed onto-based environment allows maintaining the necessary level of integration and sustainability of knowledge and data in Chinese medicine for different information technology and systems, and also the possibility of multiple reuse of knowledge for various information systems and applications.
Also the requirements and general architectural components of integrated onto-based information analytical environment of scientific research, professional healing and e-learning of Chinese image medicine were developed in the study, in particular for the information system of professional healing Image Therapist, a knowledge-base of Chinese image medicine, expert system for diagnostic and therapeutic decision-making support, information system of e
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