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Smart Booking: Concept for an automated booking solution
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
2019 (English)Independent thesis Advanced level (professional degree), 300 HE creditsStudent thesisAlternative title
Smartbokning : Koncept för ett automatiserat bokningssystem (Swedish)
Abstract [en]

With increasing demand and already strained resources the Swedish healthcare are before major challenges, which digitisation could help to solve. One of these challenges addresses how to use the limited personnel as efficiently as possible to meet the demands. This thesis aims to deliver a proof of concept for a booking-tool which aids in the booking of patients into practitioners schedules, in a time- and resource efficient matter while still respecting patient preferences. The solution presented gives practitioners the possibility to find the “best” time to book one or multiple appointments in multiple schedules with regard to both patient and practitioner preferences, in a timely matter. The system uses a scoring function to determine which time is the best. This weights used in the function is defined by the user and is highly configurable, altering how metrics are weighed in when scoring different possible times, thus altering the behaviour and results dependent on the users needs and preferences.

Abstract [sv]

Med en ökande efterfrågan och redan ansträngda resurser står svenska hälso- och sjukvården inför stora utmaningar, vilken digitalisering kan underlätta. En av dessa utmaningar är hur man använder den begränsade mängden personalen så effektivt som möjligt för att möta kraven. Detta arbete avser att leverera ett förslag för ett bokningsverktyg som hjälper praktiker vid bokning av patienter, på ett tids- och resurseffektiv sätt, samtidigt som patientens preferenser respekteras. Den lösnings som presenteras ger praktiker möjlighet att hitta den “bästa” tiden, sett till både patientens och praktikers preferenser, i ett eller flera scheman. Systemet använder en poängfunktion för att bestämma vilken tid som är bäst. Vikterna som används definieras av användaren och går att konfiguera, vilket därmed ändrar beteendet och resultaten beroende av användarens behov och preferenser.

Place, publisher, year, edition, pages
2019. , p. 75
National Category
Computer Sciences Engineering and Technology
Identifiers
URN: urn:nbn:se:ltu:diva-73355OAI: oai:DiVA.org:ltu-73355DiVA, id: diva2:1300728
External cooperation
Tieto Sweden AB
Subject / course
Student thesis, at least 30 credits
Educational program
Computer Science and Engineering, master's level
Supervisors
Examiners
Available from: 2019-04-10 Created: 2019-03-29 Last updated: 2019-05-02Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
  • rtf