Human factors: bridging artificial intelligence and patient safety
نویسندگان
چکیده
منابع مشابه
Human Intelligence Needs Artificial Intelligence
Crowdsourcing platforms, such as Amazon Mechanical Turk, have enabled the construction of scalable applications for tasks ranging from product categorization and photo tagging to audio transcription and translation. These vertical applications are typically realized with complex, self-managing workflows that guarantee quality results. But constructing such workflows is challenging, with a huge ...
متن کاملDistributed Artificial Intelligence And The HLA : Bridging The Gap Lance
The fields of Artificial Intelligence (AI) and simulation have shared close ties since their inception. Simulations have often served as theoretical test-beds for evaluating various AI algorithms, many of which have later served to enable “intelligent” control of autonomous entities within various simulations. However, as AI and simulation have extended into the domain of parallel processing, y...
متن کاملASOCS: Towards Bridging Neural Network and Artificial Intelligence Learning
A new class of connectionist architectures is presented called ASOCS (Adaptive Self-Organizing Concurrent Systems) [3,4]. ASOCS models support efficient computation through self-organized learning and parallel execution. Learning is done through the incremental presentation of rules and/or examples. Data types include Boolean and multi-state variables; recent models support analog variables. Th...
متن کاملBridging the gap: leveraging business intelligence tools in support of patient safety and financial effectiveness
Healthcare is increasingly dependent upon information technology (IT), but the accumulation of data has outpaced our capacity to use it to improve operating efficiency, clinical quality, and financial effectiveness. Moreover, hospitals have lagged in adopting thoughtful analytic approaches that would allow operational leaders and providers to capitalize upon existing data stores. In this manusc...
متن کاملBridging control and artificial intelligence theories for diagnosis: A survey
ions Fault management architectures a b s t r a c t Diagnosis is the process of identifying or determining the nature and root cause of a failure, problem, or disease from the symptoms resulting from selected measurements, checks or tests. The different facets of this problem and the wide spectrum of classes of systems make it interesting to several communities and require bridging several theo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care
سال: 2020
ISSN: 2327-8595,2327-8595
DOI: 10.1177/2327857920091007