Dit artikel is een vertaling van het artikel “Digital Radiography Reject Analysis: Results of a Survey Among Dutch Hospitals” dat in de mei/juni 2020 editie van het blad Radiologic Technology is gepubliceerd. Korte samenvatting: In opdracht van de Inspectie voor de Gezondheidszorg is aan een steekproef van Nederlandse ziekenhuizen gevraagd hoe zij omgaan met medische beelden die worden afgekeurd. De resultaten laten zien dat de meeste ziekenhuizen deze opnames niet bewaren voor analyse.
DOCUMENT
Abstract: AI tools in radiology are revolutionising the diagnosis, evaluation, and management of patients. However, there is a major gap between the large number of developed AI tools and those translated into daily clinical practice, which can be primarily attributed to limited usefulness and trust in current AI tools. Instead of technically driven development, little effort has been put into value-based development to ensure AI tools will have a clinically relevant impact on patient care. An iterative comprehensive value evaluation process covering the complete AI tool lifecycle should be part of radiology AI development. For value assessment of health technologies, health technology assessment (HTA) is an extensively used and comprehensive method. While most aspects of value covered by HTA apply to radiology AI, additional aspects, including transparency, explainability, and robustness, are unique to radiology AI and crucial in its value assessment. Additionally, value assessment should already be included early in the design stage to determine the potential impact and subsequent requirements of the AI tool. Such early assessment should be systematic, transparent, and practical to ensure all stakeholders and value aspects are considered. Hence, early value-based development by incorporating early HTA will lead to more valuable AI tools and thus facilitate translation to clinical practice. Clinical relevance statement: This paper advocates for the use of early value-based assessments. These assessments promote a comprehensive evaluation on how an AI tool in development can provide value in clinical practice and thus help improve the quality of these tools and the clinical process they support. Key Points: Value in radiology AI should be perceived as a comprehensive term including health technology assessment domains and AI-specific domains. Incorporation of an early health technology assessment for radiology AI during development will lead to more valuable radiology AI tools. Comprehensive and transparent value assessment of radiology AI tools is essential for their widespread adoption.
DOCUMENT
Purpose Worldwide, there are 30 million people with dementia (PWD) in 2009 and 100 million in 2050, respectively.These numbers show the need for a change in care for PWD. Leisure is one of these care aspects. Leisure activities can support PWD in several ways: meeting basic needs, providing comfort and social interaction, and reducing boredom, agitation, and isolation. An exemplary activity targeted at meeting these needs is ‘De Klessebessers (KB)’ (The Chitchatters), which aims to stimulate social interaction among PWD and provide comfort with supporting technology. This is innovative since technology for PWD generally concentrates on safety and monitoring activities. The activity comprises a radio, television, telephone, and treasure box. Method This study’s focus follows from the original aim of the KB-designers; to stimulate social interaction. In a nursing home and day care centre, the KB game was played with different groups of PWD (n=21: 12 females, 9 males, mean MMSE=17, range 3-28). In the morning KB (with technology), and in the afternoon an activity called ‘Questiongame’ (without technology) were played for 45 minutes. These activities were played twice in a two-month period, and outcomes were compared in terms of impact on social interaction. Group sizes ranged from 3 to 8 PWD assisted by 1 or 2 activity therapists. Two researchers observed the players during the activity with the Oshkosh Social Behavior Coding (OSBC) scale, which encompasses both verbal and nonverbal social and nonsocial behaviour. These behaviours can have a person-initiated and otherinitiated character (quantitative study). A total of 6 activity therapists were interviewed on the KB afterwards (qualitative study). Results & Discussion The quantitative results showed significantly higher scores for KB for the total of social interaction compared to Questiongame. Most of the behaviour is other-initiated (activity therapist). PWD with a lower MMSE score showed more non-verbal behaviour. For PWD with a MMSE score below 7, there was no difference in social interaction between the two activities. According to the qualitative research, KB triggered more social interaction, since the movies and music were stimulating the players to initiate a conversation, to which other players responded. The results of this research correspond with earlier research, which concludes that leisure activities with technology can show positive results on well-being.
LINK
