Jelena Zestic1, Penelope Sanderson2,3,4, Jennifer Dawson5, Helen Liley6,7. 1. School of Psychology, The University of Queensland, St Lucia, QLD, 4072, Australia. 2. School of Psychology, The University of Queensland, St Lucia, QLD, 4072, Australia. p.sanderson@uq.edu.au. 3. School of ITEE, The University of Queensland, St Lucia, QLD, 4072, Australia. p.sanderson@uq.edu.au. 4. School of Clinical Medicine, The University of Queensland, St Lucia, QLD, 4072, Australia. p.sanderson@uq.edu.au. 5. The Royal Women's Hospital, Melbourne, 3052, Australia. 6. School of Clinical Medicine, The University of Queensland, St Lucia, QLD, 4072, Australia. 7. Mater Mothers' Hospital and Mater Research Institute, Brisbane, 4101, Australia.
Abstract
OBJECTIVE: To gain a deeper understanding of the information requirements of clinicians conducting neonatal resuscitation in the first 10 min after birth. BACKGROUND: During the resuscitation of a newborn infant in the first minutes after birth, clinicians must monitor crucial physiological adjustments that are relatively unobservable, unpredictable, and highly variable. Clinicians' access to information regarding the physiological status of the infant is also crucial to determining which interventions are most appropriate. To design displays to support clinicians during newborn resuscitation, we must first carefully consider the information requirements. METHODS: We conducted a work domain analysis (WDA) for the neonatal transition in the first 10 min after birth. We split the work domain into two 'subdomains'; the physiology of the neonatal transition, and the clinical resources supporting the neonatal transition. A WDA can reveal information requirements that are not yet supported by resources. RESULTS: The physiological WDA acted as a conceptual tool to model the exact processes and functions that clinicians must monitor and potentially support during the neonatal transition. Importantly, the clinical resources WDA revealed several capabilities and limitations of the physical objects in the work domain-ultimately revealing which physiological functions currently have no existing sensor to provide clinicians with information regarding their status. CONCLUSION: We propose two potential approaches to improving the clinician's information environment: (1) developing new sensors for the information we lack, and (2) employing principles of ecological interface design to present currently available information to the clinician in a more effective way.
OBJECTIVE: To gain a deeper understanding of the information requirements of clinicians conducting neonatal resuscitation in the first 10 min after birth. BACKGROUND: During the resuscitation of a newborn infant in the first minutes after birth, clinicians must monitor crucial physiological adjustments that are relatively unobservable, unpredictable, and highly variable. Clinicians' access to information regarding the physiological status of the infant is also crucial to determining which interventions are most appropriate. To design displays to support clinicians during newborn resuscitation, we must first carefully consider the information requirements. METHODS: We conducted a work domain analysis (WDA) for the neonatal transition in the first 10 min after birth. We split the work domain into two 'subdomains'; the physiology of the neonatal transition, and the clinical resources supporting the neonatal transition. A WDA can reveal information requirements that are not yet supported by resources. RESULTS: The physiological WDA acted as a conceptual tool to model the exact processes and functions that clinicians must monitor and potentially support during the neonatal transition. Importantly, the clinical resources WDA revealed several capabilities and limitations of the physical objects in the work domain-ultimately revealing which physiological functions currently have no existing sensor to provide clinicians with information regarding their status. CONCLUSION: We propose two potential approaches to improving the clinician's information environment: (1) developing new sensors for the information we lack, and (2) employing principles of ecological interface design to present currently available information to the clinician in a more effective way.
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