[Future biomedical sensors based on microelectromechanic system technology].
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After a preliminary investigation of the effects of tool feed rate and spindle speed on the surface roughness of unhydrated, lathe-cut polymacon surfaces, a laboratory and clinical comparison was made between lenses with identical parameters except that the lathe-cut posterior surface was left unpolished in the "test" lenses and was polished in the "control" lenses. The lenses had moulded anterior surfaces. Laboratory comparisons included surface roughness, lens power and its uniformity across the surface. Double-blind clinical trials over 4-hour (27 subjects) and 1-month (10 subjects) periods, involved one eye of each subject wearing a "test" lens and the other, a "control" lens. No clinically significant differences were found between the results for the test and control lenses. It is concluded that today's lathing technology makes a final polishing stage unnecessary.
Clinical practice guidelines are expanding their scope of authority from clinical decision making to collective policy making, and promise to gain ground as resource allocation tools in coming years. A close examination of how guidelines approach patient selection criteria offers insight into their ethical implications when used as resource allocation or rationing instruments. The purposes of this paper are: a) to examine the structure of allocative reasoning found in clinical guidelines; b) to identify the ethical principles implied and compare how guidelines enact these principles with how explicit systems-level rationing exercises and health policy analyses have approached them; and c) to offer some preliminary suggestions for how these ethical issues might be addressed in the process of guideline development. The resulting framework can be used by guideline developers and users to understand and address some of the ethical issues raised by guidelines for the use of scarce technologies.
In a recent Health Affairs article, David Cutler and Mark McClellan found that new medical technology confers positive net benefits for several conditions, including heart attacks, cataracts, and depression. We estimate the extent to which uninsured Americans ages 55-64 use these technologies and compute access gaps for each. Based on Cutler and McClellan's net benefit estimates, we calculate that more than $1.1 billion is lost annually from excess morbidity and mortality among the uninsured population because of lack of access to new technologies for the treatment of these three conditions.
We determined the proportion of research on childhood mortality directed toward better medical technology (i.e., by improving old technology or creating new technology) compared with research on technology delivery and utilization. We also estimated mortality reductions from a research-funding strategy focusing primarily on developing technology compared with one that also focused on delivery and utilization. Ninety-seven percent of grants were for developing new technologies, which could reduce child mortality by 22%. This reduction is one third of what could be achieved if existing technologies were fully utilized. There is a serious discrepancy between current research and the research needed to save children's lives. In addition to increased research on the efficacy of treatment, there is an even greater need for increased research on delivery and use of technology.
The engineering problems in oral implantology are discussed in this paper. The problems discussed include the comparison among implants of different shapes, the influence of lengths and diameters of implants on the biomechanics properties of interface, the influence of pitches and tooth angles of threaded implants on the biomechanics properties of interface, the influence of methods of surface treatment and surface topography of implants on the biomechanics properties of interface, the characteristics of implant denture design, the application of picture treatment technology and solid model manufacturing technology in implant denture reconstruction.
We work hard on creating AI-wings for physicians to let them fly higher and faster in diagnosing patients--a task that physicians do not want to automate. What we do not work hard on is determining the ENVIRONMENT in which physicians' AI wings are supposed to function. It seems to be a job for social/business analysts that have their own separate kingdom. For the sake of all of us (potential patients!) social/business consultants and their methodologies should not be treated as a separate kingdom. The most urgent task is to achieve synergy between (1) AI/Fuzzy/Neural research, (2) Applied medical AI, (3) Social/Business research on medical institutions. We need this synergy in order to assure humanistic medical technology; technology flexible and sensitive enough to facilitate healthcare work while leaving space for human pride and creativity. In order to achieve humanistic technology, designers should consider the impact of technological breakthroughs on the organizations in which this technology will function and the nature of work of humans destined to use this technology. Situated (different for each organization), Strategic (based on an in-depth knowledge of Healthcare business), and AI-Enhanced (ended with a dynamic model) method for introducing technology to Healthcare allows identifying areas where technology can make medical work easier. Using this method before automating human work will get us closer to the ideal where there is no discontinuity between design and use of programs; where the technology matches users' needs perfectly--the world with humanistic technology and healthcare workers with AI-wings.
This paper updates the information contained in a previously published paper, ¿Bioengineering Education in Canada, 1988,¿ which appeared in the Journal of Clinical Engineering (Volume 13, No. 5). It describes the current biomedical engineering and biomedical engineering technology programs available in Canada, but does not attempt to evaluate them. There are no undergraduate degree programs specifically in biomedical engineering, although three universities have created options in biomedical engineering in undergraduate programs. Also, the clinical engineering program at the University of British Columbia has been discontinued.
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