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Hierarchical storage management strategy in health care

Miha Oblak (2016) Hierarchical storage management strategy in health care. EngD thesis.

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    High availability of data in healthcare is essential, since the introduction of e-Health project patient key information should be available to all health institutions. These data are condition to fast and efficient patient care in any healthcare institution. Awareness of the importance of high data availability and reliability is fast developing in Slovenia. With aging population and increasing number of treatments with modern technologies, amount of each patient data is rapidly increasing. Current data amount is relatively low but question, how to financial effective store older data required by regulatives, is becoming important. In this thesis are presented technologies to increase data availability on local level and also possibilities for data replication to remote location. We also present methods for lossless data amount reduction on different levels of the information system. By describing the advantages and disadvantages of each option each one can assess which way would be the most appropriate for his business process. For the purposes of the notional principal the selection process of appropriate technologies in relation to the constructed business continuity plan and the defined requirements of the working process is presented, as well as the example of the calculation of necessary equipment in order to introduce the suggested solution. The calculation includes optimization with reuse of existing resources.

    Item Type: Thesis (EngD thesis)
    Keywords: Data availability in healthcare, replication, compression, deduplication, hierarchical storage management, business continuity plan
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    prof. dr. Miha Mraz249Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1536914883)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3333
    Date Deposited: 26 Apr 2016 14:37
    Last Modified: 12 May 2016 11:27
    URI: http://eprints.fri.uni-lj.si/id/eprint/3333

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