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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Clinical cognition and biomedical informatics: Issues of patient safety
Vimla L Patel1, Leanne M Currie
1Department of Biomedical Informatics, Columbia University, New York, New York, USA.
Abstract:
Recent developments in biomedical informatics research have afforded possibilities for great advances in health care delivery. As in most domains, there is a gulf between technologic artifacts and end users, which compromises the culture of safety in the workplace. This necessitates a broadening of disciplinary boundaries to consider cognitive and social factors related to the design and use of technology. The authors argue for a place of prominence for cognitive science in understanding nursing factors associated with patient safety. Cognitive science provides a framework for the analysis and modeling of complex human performance. Studies of clinical cognition can meaningfully inform and shape design, development, and assessment of information systems. Furthermore, they have a decisive impact on whether information technology has a positive influence on human performance and are especially important in understanding and promoting safe practices. These issues are discussed in the context of clinical informatics with a focus on nursing practice.
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