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Developing a simulation model for decision making in a further digitized Swedish healthcare system
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems.
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems.
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Framställning av en simuleringsmodell för beslutsfattande i ett vidare digitaliserat svenskt sjukvårdssystem (Swedish)
Abstract [en]

Owing to computer simulations, healthcare managers-and decision makers are more capable than ever to understand and evaluate the consequences of their decisions. In 2016, the Swedish government put forward ”Vision eHealth 2025”, emphasizing the importance of digitization within the healthcare system. This thesis aimed at studying the current demands regarding eHealth in Sweden, and what simulation architecture is capable of accurately simulating a digitized Swedish healthcare system. An extensive literature study was conducted, followed by an implementation phase, and finally a validation procedure. It was first concluded that the following three areas of eHealth applications would greatly benefit Swedish healthcare: a fully integrated journal system, systems for care consultations over the internet, and systems for tele-monitoring of chronics and the elderly. The fidelity of a provided first version of a simulation architecture was then examined, and potential areas for improvement were identified. The implementation phase subsequently included changes to the following aspects of the provided simulation platform: level of generality, the patient agent class (pHome), healthcare resources, illness dynamics & levels of care, workflow chart logic, optimization criteria, user-interface, and output variables. The validation procedure consisted of four interviews with professionals knowledgeable about the Swedish healthcare system, for which the developed simulation architecture was demonstrated. It was concluded that, while the level of detail required for a simulation platform to accurately model the consequences of decision making in a digitized Swedish healthcare system is not known, the developed simulation platform is currently not satisfactory. Above all, it lacks specificity in the output variables.

Abstract [sv]

Tack vare datorsimuleringar kan beslutsfattare inom sjukv˚arden b¨attre ¨an n˚agonsin f¨orst˚a och utv¨ardera konsekvenserna av sina beslut. ˚Ar 2016 publicerade den svenska regeringen ”Vision eH¨alsa 2025”. Dokumentet betonade vikten av digitalisering inom sjukv˚arden. Det h¨ar examensarbetet syftar p˚a att studera de aktuella krav som finns inom eH¨alsa i Sverige, och ¨aven simuleringsarkitekturen n¨odv¨andig f¨or att sanningsenligt simulera ett digitaliserat svenskt sjukv˚ardssystem. En omfattande litteraturstudie genomf¨ordes, f¨oljt av en implementationsfas, och till sist en valideringsprocess. F¨orst drogs slutsatsen att f¨oljande tre omr˚aden av eH¨alsa skulle bidra med stor nytta till svensk sjukv˚ard: ett fullst¨andigt integrerat journalsystem, system f¨or v˚ardkonsultationer ¨over internet, och system f¨or tele¨overvakning av kroniker och ¨aldre patienter. Sedan unders¨oktes trov¨ardigheten av en f¨orsedd f¨orsta version av en simuleringsarkitektur, och dess potentiella omr˚aden f¨or f¨orb¨attringar identifierades. Den p˚af¨oljande implementationsfasen inkluderade modifieringar till f¨oljande aspekter av den f¨orsedda simuleringsplattformen: generalitetsniv˚a, patientagentklassen (pHome), sjukv˚ardsresurser, sjukdomsdynamik & olika niv˚aer av v˚ardleverans, logiken bakom arbetsfl¨odesdiagrammen, optimiseringskriterier, anv¨andargr¨anssnittet, och outputvariabler. Valideringsprocessen bestod av fyra intervjuer med professionela yrkesm¨an kunniga om det svenska sjukv˚ardssystemet. Simuleringsplattformen demonstrerades under alla fyra intervjuer. Slutsatsen drogs att detaljniv˚an hos den utvecklade simuleringsplattformen inte ¨ar tillr¨acklig i nul¨aget f¨or att utf¨ora korrekta simuleringar. Framf¨or allt saknar outputvariablerna specificitet. Det ¨ar fortfarande inte k¨ant vilken detaljniv˚a som skulle vara tillr¨acklig i det h¨ar avseendet.

Place, publisher, year, edition, pages
2018. , p. 58
Series
TRITA-CBH-GRU ; 2018:110
National Category
Other Medical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-232972OAI: oai:DiVA.org:kth-232972DiVA, id: diva2:1237121
Educational program
Master of Science in Engineering - Medical Engineering; Master of Science - Medical Engineering
Supervisors
Examiners
Available from: 2019-09-06 Created: 2018-08-07 Last updated: 2019-09-06Bibliographically approved

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