| Title | PRIMJENA BIG DATA TEHNOLOGIJE U ZDRAVSTVU |
| Author | Stipe Batinica |
| Mentor(s) | Danijel Mileta (thesis advisor)
|
| Abstract | U radu se prezentira utjecaj tehnologije velikih podataka na primjeru zdravstvenog sustava. Detaljnije se objašnjava sam koncept tehnologije kako bi se kasnije lakše shvatila primjena iste. Osim teoretskog dijela, u radu su prikazani i konkretni primjeri zdravstvenih aplikacija, te se detaljnije, s tehničkog aspekta objašnjava na koji način prezentirana tehnologija funkcionira. Prvotni rezultat rada bio bi prikazati na koji način suvremeni sustavi mogu unaprijediti svoje poslovanje koristeći aktualne tehnologije velikih podataka poput onih navedenih u radu (Map Reduce, Hadoop, Bigtable,…), a finalni da s pomoću tih istih tehnologija maksimiziraju profit i minimaliziraju troškove, uz što veći naglasak na kvalitetu usluge i što bolju skrb prema krajnjem korisniku, pacijentu. |
| Keywords | Bigdata technologies healthcare system system architecture Map Reduce Hadoop |
| Parallel title (English) | IMPLEMENTATION OF BIGDATA TECHNOLOGIES IN HEALTHCARE SYSTEMS |
| Committee Members | Želimir Mikulić (committee chairperson)
Ivan Livaja (committee member)
Danijel Mileta (committee member)
|
| Granter | Polytechnic of Sibenik |
| Lower level organizational units | Management |
| Place | Šibenik |
| State | Croatia |
| Scientific field, discipline, subdiscipline | SOCIAL SCIENCES
Information and Communication Sciences
Information Systems and Information Science
|
| Study programme type | professional |
| Study level | undergraduate |
| Study programme | Management; specializations in: Tourism Management, Information Management |
| Study specialization | Information Management |
| Academic title abbreviation | bacc.oec. |
| Genre | undergraduate thesis |
| Language | Croatian |
| Defense date | 2018-06-29 |
| Parallel abstract (English) | The thesis presents the impact of Big data technologies in the healthcare systems. In addition to the theoretical part, the thesis presents concrete examples of healthcare applications, and detailed explains the technical aspect of technology itself. The first reason of the thesis is to “put accent“ on which way can modern systems improve their business by using current Bigdata technologies such as Map Reduce, Hadoop, Bigtable, etc, and the final one is usage of the same technologies to maximize system’s profit and minimize system’s costs, with a bigger emphasis on the quality of service, and to provide as best as possible care for the end user, the patient. |
| Parallel keywords (Croatian) | Tehnologija velikih podataka zdravstveni sustav arhitektura sustava Map Reduce Hadoop |
| Resource type | text |
| Access condition | Open access |
| Terms of use |  |
| URN:NBN | https://urn.nsk.hr/urn:nbn:hr:143:871676 |
