Usability Log Analysis for Healthcare Devices with Software Process Mining

Näytä kaikki kuvailutiedot



Pysyväisosoite

http://urn.fi/URN:NBN:fi:hulib-202003241641
Julkaisun nimi: Usability Log Analysis for Healthcare Devices with Software Process Mining
Tekijä: Abrar, Atthia
Muu tekijä: Helsingin yliopisto, Matemaattis-luonnontieteellinen tiedekunta
Julkaisija: Helsingin yliopisto
Päiväys: 2020
Kieli: eng
URI: http://urn.fi/URN:NBN:fi:hulib-202003241641
http://hdl.handle.net/10138/313592
Opinnäytteen taso: pro gradu -tutkielmat
Oppiaine: Tietojenkäsittelytiede
Tiivistelmä: With the new trends in advanced healthcare equipment and innovation, the healthcare industry is now focused more on efficiency and improving quality. Devices record events in event log files that represent the program or application's actual usage. The log file of the event is like an operation history which shows what occurred in the program. Since devices have the log of real-time events, real-time processes can be tracked, and data analysed from different aspects. The details about the event log file can be used to create a process model and analyse the data to know its strengths and weaknesses. This thesis aimed to develop a tool for usability analysis used for GE healthcare. The design science approach has been used as an overall research method. To achieve the research goal, ideas was taken from already developed process mining algorithms and used in making algorithms that solves the problem of software process mining. In this thesis, already used process mining algorithm techniques were examined that can be used to answer the problem of software process mining. Software process mining was used to analyse the deployed software behavior. The study focused on making the process discovery algorithm along with structured algorithm. The outcome of the thesis was the tool that was used by the GE Healthcare to do the usability analysis on log files. The tool produces the events in the form of flow chart diagram.


Tiedostot

Latausmäärä yhteensä: Ladataan...

Tiedosto(t) Koko Formaatti Näytä
Thesis_Final - AbrarAtthia.pdf 5.417MB PDF Avaa tiedosto

Viite kuuluu kokoelmiin:

Näytä kaikki kuvailutiedot