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master's thesis
Analiza procesa bolničke obrade pacijenata sa sepsom
2023. urn:nbn:hr:155:502588
Bakoč, Paulina
University of Dubrovnik
Faculty of Electrical Engineering and Applied Computing

Cite this document

Bakoč, P. (2023). Analiza procesa bolničke obrade pacijenata sa sepsom (Master's thesis). Dubrovnik: University of Dubrovnik. Retrieved from https://urn.nsk.hr/urn:nbn:hr:155:502588

Bakoč, Paulina. "Analiza procesa bolničke obrade pacijenata sa sepsom." Master's thesis, University of Dubrovnik, 2023. https://urn.nsk.hr/urn:nbn:hr:155:502588

Bakoč, Paulina. "Analiza procesa bolničke obrade pacijenata sa sepsom." Master's thesis, University of Dubrovnik, 2023. https://urn.nsk.hr/urn:nbn:hr:155:502588

Bakoč, P. (2023). 'Analiza procesa bolničke obrade pacijenata sa sepsom', Master's thesis, University of Dubrovnik, accessed 11 December 2024, https://urn.nsk.hr/urn:nbn:hr:155:502588

Bakoč P. Analiza procesa bolničke obrade pacijenata sa sepsom [Master's thesis]. Dubrovnik: University of Dubrovnik; 2023 [cited 2024 December 11] Available at: https://urn.nsk.hr/urn:nbn:hr:155:502588

P. Bakoč, "Analiza procesa bolničke obrade pacijenata sa sepsom", Master's thesis, University of Dubrovnik, Dubrovnik, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:155:502588

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Metadata
TitleAnaliza procesa bolničke obrade pacijenata sa sepsom
Title (english)ANALYSIS OF THE PROCESS OF HOSPITAL TREATMENT OF PATIENTS WITH SEPSIS
AuthorPaulina Bakoč
MentorIvona Zakarija (mentor)
Committee memberDinka Lale (predsjednik povjerenstva)
Committee memberIvona Zakarija (član povjerenstva)
Committee memberIvan Grbavac (član povjerenstva)
GranterUniversity of Dubrovnik
(Faculty of Electrical Engineering and Applied Computing)
Dubrovnik
Defense date and country2023-07-04, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Information Systems
Abstract
Troškovi zdravstvene skrbi dramatično su porasli, a potražnja za visokokvalitetnom skrbi samo će rasti u našem društvu koje stari. Zdravstveni informacijski sustavi imaju stotine tablica s podacima o događajima koji se odnose na pacijente. Stoga je sasvim prirodno iskoristiti te podatke za poboljšanje procesa skrbi uz smanjenje troškova. Dubinska analiza procesa može se koristiti za poboljšanje usklađenosti i učinkovitosti u bolnicama i drugim ustanovama za skrb. U ovom radu, analizirane su putanje pacijenata u nizozemskoj bolnici od njihove registracije u hitnoj službi do otpusta. Također, otkriven je procesni model putanja pacijenata, te je provedena provjera usklađenosti s medicinskim smjernicama za pacijente sa sepsom. Pored toga dane su i vizualizacije tijeka pacijenata na modelu procesa.
Abstract (english)
Healthcare costs have increased dramatically and the demand for high-quality care will only grow in our aging society. Healthcare information system have hundreds of tables with patient-related event data. Therefore, it is quite natural to exploit these data to improve care processes while reducing costs. Process mining can be used to improve compliance and performance in hospitals and other care organizations. In this paper, we analysed the trajectories in a Dutch hospital from their registration in the emergency room until their discharge. We will try to automatically discover a process model of the patient trajectories, we will check conformance to medical guidelines for sepsis patients, and we will visualize the flow of patients on process model.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:155:502588
Study programmeTitle: Business Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2023-08-22 08:16:02