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• W2367207618 abstract "Burn Intensive Care Unit (BICU) work is necessarily complex and depends on clinician actions, resources, and variable patient responses to interventions. Clinicians use large volumes of data that are condensed in time, but separated across resources, to care for patients. Correctly designed health information technology (IT) systems may help clinicians to treat these patients more efficiently, accurately, and reliably. We report on a 3-year project to design and develop an ecologically valid IT system for use in a military BICU.We use a mixed methods Cognitive Systems Engineering approach for research and development. Observations, interviews, artifact analysis, survey, and thematic analysis methods were used to reveal underlying factors that mold the work environment and affect clinician decisions that may affect patient outcomes. Participatory design and prototyping methods have been used to develop solutions.We developed 39 requirements for the IT system and used them to create three use cases to help developers better understand how the system might support clinician work to develop interface prototypes. We also incorporated data mining functions that offer the potential to aid clinicians by recognizing patterns recognition of clinically significant events, such as incipient sepsis. The gaps between information sources and accurate, reliable, and efficient clinical decision that we have identified will enable us to create scenarios to evaluate prototype systems with BICU clinicians, to develop increasingly improved designs, and to measure outcomes.The link from data to analyses, requirements, prototypes, and their evaluation ensures that the solution will reflect and support work in the BICU as it actually occurs, improving staff efficiency and patient care quality." @default.
• W2367207618 created "2016-06-24" @default.
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• W2367207618 date "2016-05-01" @default.
• W2367207618 modified "2023-09-27" @default.
• W2367207618 title "Developing a Cognitive and Communications Tool for Burn Intensive Care Unit Clinicians" @default.
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• W2367207618 doi "https://doi.org/10.7205/milmed-d-15-00173" @default.
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