Abstract
Today, many institutions and organizations are facing serious problem due to the tremendously increasing size of documents, and this problem is further triggering the storage and retrieval problems due to the continuously growing space and efficiency requirements. This problem is becoming more complex with time and the increase in the size and number of documents in an organization; therefore, there is a world wide growing demand to address this problem. This demand and challenge can be met by converting the tremendous amount of paper documents to images using a process to enable specialized document imaging people to select the most suitable image type and scanning resolution to use when there is a need for storing documents images. This documents management process, if applied, attempts to solve the problem of the image storage type and size to some extent. In this paper, we present a case study resembling an applied process to manage the registration of new patients in a private clinic and to optimize following up the registered patients after having their information records stored in an imaging database system; therefore, through this automation approach, we optimize the work process and maximize the efficiency of the Skin and Allergy Clinic tasks.
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ALGhalayini, M.A. (2010). Automating The Work at The Skin and Allergy Private Clinic : A Case Study on Using an Imaging Database to Manage Patients Records. In: Elleithy, K. (eds) Advanced Techniques in Computing Sciences and Software Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3660-5_34
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DOI: https://doi.org/10.1007/978-90-481-3660-5_34
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