Global ETD Search

11	Prediktiv analys i vården : Hur kan maskininlärningstekniker användas för att prognostisera vårdflöden? / Predictive analytics in healthcare : A machine learning approach to forecast healthcare processes Corné, Josefine, Ullvin, Amanda January 2017 (has links) Projektet genomfördes i samarbete med Siemens Healthineers i syfte att utreda möjligheter till att prognostisera vårdflöden. Det genom att undersöka hur big data tillsammans med maskininlärning kan utnyttjas för prediktiv analys. Projektet utgjordes av två fallstudier med mål att, baserat på data från tidigare MRT-undersökningar, förutspå undersökningstider för kommande undersökningar respektive identifiera patienter som riskerar att missa inbokad undersökning. Fallstudierna utfördes med hjälp av programmeringsspråket R och tre olika inbyggda funktioner för maskininlärning användes för att ta fram prediktiva modeller för respektive fallstudie. Resultaten från fallstudierna gav en indikation på att det med en större datamängd av bättre kvalitet skulle vara möjligt att förutspå undersökningstider och vilka patienter som riskerar att missa sin inbokade undersökning. Det talar för att den här typen av prediktiva analyser kan användas för att prognostisera vårdflöden, något som skulle kunna bidra till ökad effektivitet och kortare väntetider i vården. / This project was performed in cooperation with Siemens Healthineers. The project aimed to investigate possibilities to forecast healthcare processes by investigating how big data and machine learning can be used for predictive analytics. The project consisted of two separate case studies. Based on data from previous MRI examinations the aim was to investigate if it is possible to predict duration of MRI examinations and identify potential no show patients. The case studies were performed with the programming language R and three machine learning methods were used to develop predictive models for each case study. The results from the case studies indicate that with a greater amount of data of better quality it would be possible to predict duration of MRI examinations and potential no show patients. The conclusion is that these types of predictive models can be used to forecast healthcare processes. This could contribute to increased effectivity and reduced waiting time in healthcare. Big data machine learning predictive analytics data analytics modeling healthcare processes clinical pathways Big data maskininlärning prediktiv analys dataanalys modellering vårdflöden Medical Engineering Medicinteknik
12	Controlled by Knowledge : A Study of two Clinical pathways in Mental Healthcare Jerndahl Fineide, Mona January 2012 (has links) Standardisation of professional work is a major policy concern to ensure quality and efficiency of services and a number of hospitals are now focusing on the use of clinical pathways as an important tool to standardise their work. This study sheds light on the processes set in motion when notions of standardisation meet local practice. In order to gain insight into what clinical pathways mean for professional work in mental health care, the focus of the study was to explore the contexts in which standardisation by “rule production” takes place. Two empirical cases from Norwegian mental health care show how dedicated professionals are in charge of carrying out the standardisation work, strongly influenced by a steering framework of defined governmental policies where employee involvement and responsibility ensured loyalty to the idea. Along with a “package” of ideas, new bodies and techniques, clinical pathways contribute to the institutionalisation of prima facie knowledge in demonstrating that evidence basing is linked to steering and control of employees. Thus, professional autonomy is threatened in an insidious way: through the institutionalisation of evidence-based knowledge as ‘prima facie’ knowledge in combination with professionals who standardise and control their own work. The thesis therefore concludes that the control of professional work has now become a complex and sophisticated process where professional work is “controlled by knowledge”. Organisation theory scientific bureaucratic medicine health policy governance New Public Management regulatory tools control management standardisation rule production instrumentation clinical pathways lean work professions professionals autonomy discretion power knowledge legitimacy evidence based medicine mental health care hospital child and youth psychiatry psychiatrist psychologist jurisdiction legitimacy soft bureaucracy hybridisation Work Sciences Arbetslivsstudier

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Prediktiv analys i vården : Hur kan maskininlärningstekniker användas för att prognostisera vårdflöden? / Predictive analytics in healthcare : A machine learning approach to forecast healthcare processes

Controlled by Knowledge : A Study of two Clinical pathways in Mental Healthcare