PubMed · 16521379
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Thomas Schiff. 2006. Digital imaging.. https://doi.org/10.14219/jada.archive.2006.0130
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OBJECTIVE: Today, there are many barriers that prevent seamless electronic voice and data communication with remote content and services that the user wants to access at a certain time and place. This is especially the case in hospitals, where the communication needs are very complex and context dependent, and where strict privacy and safety conditions apply. Personal network (PN) technology is expected to enable the various private networks of a single person to communicate seamlessly with each other, hiding underlying network complexity from the user. We have analyzed the usefulness of PNs in hospitals. METHODS: We studied the use case of a medical emergency surgery, and built a demonstrator by integrating models of the specialists' personal area networks, home networks, office networks, and a hospital network into a single virtual network. We performed user studies in various hospitals, using a combination of individual context interviews, scenario and requirements verification, guided experimenting with the demonstrator and concluding workshops. RESULTS: We show that, in case of medical emergencies, PNs can provide a means to enlist remote assistance from peers wherever they are in the world at a particular moment. It can also ease the communication between the operating theatre and the outside world, e.g. for educational purposes.
This paper describes human errors and violations of end users and network administration in computer and information security. This information is summarized in a conceptual framework for examining the human and organizational factors contributing to computer and information security. This framework includes human error taxonomies to describe the work conditions that contribute adversely to computer and information security, i.e. to security vulnerabilities and breaches. The issue of human error and violation in computer and information security was explored through a series of 16 interviews with network administrators and security specialists. The interviews were audio taped, transcribed, and analyzed by coding specific themes in a node structure. The result is an expanded framework that classifies types of human error and identifies specific human and organizational factors that contribute to computer and information security. Network administrators tended to view errors created by end users as more intentional than unintentional, while errors created by network administrators as more unintentional than intentional. Organizational factors, such as communication, security culture, policy, and organizational structure, were the most frequently cited factors associated with computer and information security.
PURPOSE: We propose a simple methodology for heterogeneous data collection and central repository-style database design in healthcare. Our method can be used with or without other software development frameworks, and we argue that its application can save a relevant amount of implementation effort. Also, we believe that the method can be used in other fields of research, especially those that have a strong interdisciplinary nature. BACKGROUND: The idea emerged during a healthcare research project, which consisted among others in grouping information from heterogeneous and distributed information sources. We developed this methodology by the lessons learned when we had to build a data repository, containing information about elderly patients flows in the UK's long-term care system (LTC). DESIGN: We explain thoroughly those aspects that influenced the methodology building. The methodology is defined by six steps, which can be aligned with various iterative development frameworks. We describe here the alignment of our methodology with the RUP (rational unified process) framework. The methodology emphasizes current trends, as early identification of critical requirements, data modelling, close and timely interaction with users and stakeholders, ontology building, quality management, and exception handling. RESULTS: Of a special interest is the ontological engineering aspect, which had the effects with the highest impact after the project. That is, it helped stakeholders to perform better collaborative negotiations that brought better solutions for the overall system investigated. An insight into the problems faced by others helps to lead the negotiators to win-win situations. We consider that this should be the social result of any project that collects data for better decision making that leads finally to enhanced global outcomes.