\n
The study aims to identify challenges and barriers related to the use of AI-based CDSSs from the perspectives of various experts, including health care providers, developers, researchers, and insurers.<\/p>\n<\/p><\/div>\n<\/details>\n\nWhat methods were used to gather data for the study?<\/summary>\n\n
The study employed semistructured expert interviews with stakeholders from different fields, which were recorded, transcribed, and analyzed using qualitative content analysis with MAXQDA software.<\/p>\n<\/p><\/div>\n<\/details>\n\nWhat were the categories of problems identified in the study?<\/summary>\n\n
The problems were categorized into seven areas: technology, data, user, studies, ethics, law, and general issues, with varying frequencies of reported problems.<\/p>\n<\/p><\/div>\n<\/details>\n\nHow many expert interviews were conducted?<\/summary>\n\n
A total of 15 expert interviews were conducted, leading to the identification of 309 expert statements regarding problems and barriers related to AI-based CDSSs.<\/p>\n<\/p><\/div>\n<\/details>\n\nWhat was the most prevalent problem category identified?<\/summary>\n\n
The user-related problems represented the largest share, accounting for 33% of the reported issues, indicating significant concerns about user interaction and acceptance.<\/p>\n<\/p><\/div>\n<\/details>\n\nWhat role does ethics play in the challenges of AI-based CDSSs?<\/summary>\n\n
Ethics emerged as a significant concern, representing 6.5% of reported issues, highlighting the importance of ethical considerations in developing and implementing AI technologies in healthcare.<\/p>\n<\/p><\/div>\n<\/details>\n\nHow were the identified problems categorized?<\/summary>\n\n
Problems were categorized both by the stage at which they occur (general, development, and clinical use) and by problem type (technology, data, user, etc.).<\/p>\n<\/p><\/div>\n<\/details>\n\nWhat is the implication of the findings about barriers to AI integration in healthcare?<\/summary>\n\n
The findings suggest that addressing these diverse barriers is crucial for optimizing the development, acceptance, and use of AI-based CDSSs in healthcare settings.<\/p>\n<\/p><\/div>\n<\/details>\n\nWhat can be derived from the study’s findings for future research?<\/summary>\n\n
The problems identified can serve as a basis for further investigation and the development of strategies to improve the implementation and effectiveness of AI-based CDSSs.<\/p>\n<\/p><\/div>\n<\/details>\n\nWhat are the keywords associated with the study on AI and CDSSs?<\/summary>\n\n
Key terms include artificial intelligence, clinical decision support system, digital health, health informatics, and quality assurance, indicative of the study’s focus areas.<\/p>\n<\/p><\/div>\n<\/details><\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"
Research from healthcare experts, including Godwin Denk Giebel, Pascal Raszke, and Marianne Tokic, identifies seven main categories of challenges for AI-based Clinical Decision Support Systems (CDSSs): User-related problems (33%) Data challenges (19.1%) Technology issues (14.9%) Legal considerations (10.7%) General implementation issues (10.4%) Ethical concerns (6.5%) Research and study limitations (5.5%) For medical practice administrators and […]<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[],"tags":[],"class_list":["post-30168","post","type-post","status-publish","format-standard","hentry"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/posts\/30168","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/comments?post=30168"}],"version-history":[{"count":0,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/posts\/30168\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/media?parent=30168"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/categories?post=30168"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.simbo.ai\/blog\/wp-json\/wp\/v2\/tags?post=30168"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}