Data is widely recognized as a potent catalyst for advancing healthcare effectiveness, increasing worker satisfaction, and mitigating healthcare costs. The ongoing digital transformation within the healthcare sector promises to usher in a new era of flexible patient care, seamless inter-provider communication, and data-informed healthcare practices through the application of data science. However, more often than not data lacks interoperability across different healthcare institutions and are not readily available for analysis. This inability to share data leads to a higher administrative burden for healthcare providers and introduces risks when data is missing or when delays occur. Moreover, medical researchers face similar challenges in accessing medical data due to thedifficulty of extracting data from applications, a lack of standardization, and the required data transformations before it can be used for analysis. To address these complexities, a paradigm shift towards a data-centric application landscape is essential, where data serves as the bedrock of the healthcare infrastructure and is application agnostic. In short, a modern way to think about data in general is to go from an application driven landscape to a data driven landscape, which will allow for better interoperability and innovative healthcare solutions.In the current project the research group Digital Transformation at Hanze University of Applied Sciences works together with industry partners to build an openEHR implementation for a Groningen-based mental healthcare provider.
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Background Clients facing decision-making for long-term care are in need of support and accessible information. Construction of preferences, including context and calculations, for clients in long-term care is challenging because of the variability in supply and demand. This study considers clients in four different sectors of long-term care: the nursing and care of the elderly, mental health care, care of people with disabilities, and social care. The aim is to understand the construction of preferences in real-life situations. Method Client choices were investigated by qualitative descriptive research. Data were collected from 16 in-depth interviews and 79 client records. Interviews were conducted with clients and relatives or informal caregivers from different care sectors. The original client records were explored, containing texts, letters, and comments of clients and caregivers. All data were analyzed using thematic analysis. Results Four cases showed how preferences were constructed during the decision-making process. Clients discussed a wide range of challenging aspects that have an impact on the construction of preferences, e.g. previous experiences, current treatment or family situation. This study describes two main characteristics of the construction of preferences: context and calculation. Conclusion Clients face diverse challenges during the decision-making process on long-term care and their construction of preferences is variable. A well-designed tool to support the elicitation of preferences seems beneficial.
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Hoe kan het onderwijs worden vormgegeven zodat mbo-jongeren worden gestimuleerd om te gaan stemmen? In dit onderzoek laten we de resultaten zien van een exploratieve evaluatie van drie sets met evidence-informed leermiddelen met als doel de stemintentie van jongeren te verhogen. De leermiddelen richten zich op (1) informatie over het stemproces, (2) in gesprek gaan over wel of niet stemmen en (3) gesprekken over maatschappelijke onderwerpen in combinatie met het invullen van een stemadviesapplicatie. De leermiddelen zijn gegeven door negen docenten en geëvalueerd door middel van docentinterviews en studentvragenlijsten (N = 172). Uit de resultaten kan worden opgemaakt dat docenten en studenten positief zijn over de praktische benadering in de leermiddelen. Tevens blijkt uit de resultaten dat de leermiddelen studenten inzicht geven in hun politieke voorkeur en dat zij leren het gesprek over stemmen met elkaar aan te gaan. Dit stimuleert mogelijk politiek zelfvertrouwen. Deze resultaten scheppen positieve verwachtingen voor de mogelijke effectiviteit van de lessen die kan worden getoetst in vervolgonderzoek.--How can education be designed to encourage students in vocational education to vote? We present the results of an explorative evaluation of three evidence-informed lessons aimed at increasing young people’s intention to vote. The three lessons focus on (1) information about the voting process, (2) engaging in discussions about whether or not to vote, and (3) discussions about socio-political issues combined with the use of a voting advice application. The lessons were taught by nine teachers and evaluated through teacher interviews and student questionnaires (N = 172). The results indicate that both teachers and students responded positively to the practical approach of the teaching materials. Additionally, the materials provided students with insight into their political preferences and helped them engage in discussions about voting. This potentially fosters political self-efficacy. These findings create positive expectations regarding the lessons’ potential effectiveness, which can be examined in follow-up research.
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