Promotion of prehospital emergency care through clinical decision support systems: opportunities and challenges

Clinical decision support systems are interactive computer systems for situational decision making and can improve decision efficiency and safety of care. We investigated the role of these systems in enhancing prehospital care. This narrative review included full-text articles published since 2000 that were available in databases/e-journals including Web of Science, PubMed, Science Direct, and Google Scholar. Search keywords included “clinical decision support system,” “decision support system,” “decision support tools,” “prehospital care,” and “emergency medical services.” Non-journal articles were excluded. We revealed 14 relevant studies that used such a support system in prehospital emergency medical service. Owing to the dynamic nature of emergency situations, decision timing is critical. Four key factors demonstrated the ability of clinical decision support systems to improve decision-making, reduce errors, and improve the safety of prehospital emergency activity: computer-based, offer support as a natural part of the workflow, provide decision support in the time and place of decision making, and offer practical advice. The use of clinical decision support systems in prehospital care resulted in accurate diagnoses, improved patient triage and patient outcomes, and reduction of prehospital time. By improving emergency management and rescue operations, the quality of prehospital care will be enhanced

Application of Domain Ontology for Decision Support in Medical Emergency Coordination

Due to the complex and constantly evolving nature of emergency management (EM), there is little consensus regarding many concepts used to describe informational structure of EM. This limits the efficiency and effectiveness of the decision making processes and can potentially lead to challenges in communication among disaster stakeholders and delays in the execution of emergency responses. This paper presented domain ontology for EM that can be useful to be shared across different emergency agencies and systems. The potential benefits of the proposed domain ontology include enabling better and faster decision making through explicit and shared structure of EM concepts and their relationships. We illustrate how domain ontology can facilitate more effective decision making processes in EM in the context of medical emergency coordination

Collective Dynamics of Digitally Enabled Social Networks

This thesis investigates the role of technology in the collective dynamics of digitally enabled social networks. Based on a review of the historical foundation of research on crowds, collective behaviour, and collective dynamics in the social sciences and in research on complex systems, it develops a conceptualisation of collective dynamics in the context of digitally enabled social networks. This conceptualisation provides the foundation for one overarching and three subordinate research questions dedicated to different aspects of the role technology plays in understanding and managing the collective dynamics of digitally enabled social networks. The body of work comprising this dissertation is distributed across fifteen papers that contribute to these research questions