The medical system is facing a wide range of challenges nowadays due to changes that are taking place in the global healthcare systems. These challenges are represented mostly by economic constraints (spiraling costs, financial issues), but also, by the increased emphasis on accountability and transparency, changes that were made in the education field, the fact that the biomedical research keeps growing in what concerns the complexities of the specific studies etc. Also the new partnerships that were made in medical care systems and the great advances in IT industry suggest that a predominant paradigm shift is occurring. This needs a focus on interaction, collaboration and increased sharing of information and knowledge, all of these may is in turn be leading healthcare organizations to embrace the techniques of data mining in order to create and sustain optimal healthcare outcomes. Data mining is a domain of great importance nowadays as it provides advanced data analysis techniques for extracting the knowledge from the huge volumes of data collected and stored by every system of a daily basis. In the healthcare organizations data mining can provide valuable information for patient's diagnosis and treatment planning, customer relationship management, organization resources management or fraud detection. In this article we focus on describing the importance of data mining techniques and systems for healthcare organizations with a focus on developing and implementing telemedicine solution in order to improve the healthcare services provided to the patients. We provide architecture for integrating data mining techniques into telemedicine systems and also offer an overview on understanding and improving the implemented solution by using Business Process Management methods.Keywords: Telemedicine, Data Mining, Healthcare, Data Warehouse, Business Process Man-agement, Architecture1 IntroductionIn our current society, the healthcare do-main is at a critical crossroads and faces a wide number of challenges. There are for ex-ample, the threatening of the continuous in-crease of costs, the expand of the govern-ment-funded healthcare coverage, the contin-uous number of the uninsured, a very slow process of quality care improvement, the de-mographic trends, especially the number of senior population that keeps increasing and therefore putting strain on the system, a non-optimized health insurance framework etc.The research that is being done in the innova-tion direction, especially in what concerns the provisioning and administration of offer-ing remote healthcare services has conducted to the appearance and development of a new domain which represents a key enabler that can improve the quality of medical services by enhancing the operational effectiveness and achieving improved outcomes. This do-main was named telemedicine and represents a solution to the large number of challenges that the medical system confronts with.Telemedicine represents a combination of expertise and technology that provides ser-vices and information over distance. [1] IT technology delivers this information in the form of voice, data or video image and its main objective consists in the utility and effi-cacy of the technology itself, as it is applied to hospitals problems and their infrastructure. The use of telemedicine for providing care services has been rapidly increasing and with the latest innovation in the information and computer technologies, it has become an im-portant part of the medical development pro-cess with a high potential of improving the economic prosperity of the country.Information and technology resources are having a very important contribution in the process of avoiding and reducing clinical er-rors but also in the optimization process of the medical health provider's processes and workflows. [2] These resources are mostly being used for activities concerning the pro-cess of:* collecting medical data from patients;* providing the required medical infor-mation to the physicians, patients or other members of the medical community;* real-time monitoring of patients* diagnosing patients using expert systems. …
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