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美国军事医学信息学:在战备部署环境下的信息获取
目的 研究在驻防(in garrison)或战备部署条件下美国军医常用的医学信息源.方法 向军医发放调查问卷,要求描述军医在驻防或战备部署时常用的医学信息源.结果 多数的军医在驻防时每天利用Internet获取医学信息.驻防时医学资源的利用频率和方式与战备部署期间资源的利用有所不同,常使用的电子医学信息源是Internet搜索引擎(Google).外科医生通常使用公开的医学网站(PubMed和MEDLINE).而军队的初级保健医生(primary care physicians)更常使用过滤的二次整合信息源(UptoDate和MD Consult).年轻的医生比年纪大的医生利用电子资源更频繁.结论 了解军医使用何种医学信息源进行检索解决临床问题有助于指导医学信息源的分配,尤其是有助于为战备部署时进行战场救护的军医提供医学信息资源的分配指导.
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布伦瑞克工业大学和汉诺威医学院医学信息学的发展
1引言
2012年9月,值布伦瑞克工业大学信息科学系40周年庆典之际,德国计算机科学协会(GI)特出版了文集《计算机科学在布伦瑞克工业大学的40周年发展历程(1972-2012)》(40 Jahre Informatik an der Technischen Universit?t Braunschweig 1972-2012)作为纪念。在此文集中,有关Peter L. Reichertz 医学信息学研究所(Peter L. Reichertz Institute for Medical Informatics,PLRI)的介绍在一定程度上很好地反映了该学科在布伦瑞克工业大学和汉诺威医学院过去40年的发展。译者认为这也是了解德国医学信息学学科发展的很好素材。因此我们翻译此文与国内的同行们分享。 -
The Theory of Bio-Medical Knowledge Integration(Ⅸ)——A venture in methodology for operations on the cognitive segment in HER
This paper pointed out, in the cognitive or semantic processes, the data of EHR reflect their physical nature, which makes mathematics and informatics of less computing capability. Based on this argument a new concept cognitive segment (CS), which is considered with having both physical and formalized quality, was introduced. Centered on CS, the paper presented a series of new basic concepts and their definitions, a set of symbols and expressions, and afterwards explored the types, quasi-formalized expressions, mapping nature, methodology for operations, two distinguished differences, commonsensible background analyses, cognitive dimension regression, supervising function of CSs.
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Conceptual, Experimental and Compass-beacon Ontologies--The Principles, concepts and methodology of BMKI(Ⅰ)
This article discussed the basic three components of an information unit(IU), ie the Carrier(C), Feature (F) and Value(Ⅴ), and presented and several different types of feature, including the static, relation and process features(SF ,RF and PF respectively). It also discussed about the knowledge for statistical group(KP) and for individual(KI) and the transformation mechanisms between them. Then both the philosophy and application attributes of ontology have been explored and two new concepts, ie ontology of existence(EO) and ontology of application (OA) were created. The paper gave an integrated sketch of the whole medical knowledge engineering cause,which is thought to be composed of three areas: conceptual, experimental and compass-beakon ontoloies (CO,EO, CBO, respectively). And based on those considerations BMKI achieved its fundamental formula.
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The Theory of Bio-Medical Knowledge Integration(Ⅵ)
This paper introduced the following new concepts:the cognitive goal, the cognitive goal for the declarative data of the patient records (PRs), The basic attributes of PR's data at the sides of generation, construction and cognition, the generalized data creator (GDC), type Ⅰ to Ⅵ+ of GDC, the cognitive directions of data: forward direction and backward direction, the apparent cognitive orientation and inapparent cognitive orientation, the cognitive granularity difference principle between the natural intelligence and the artificial intelligence, the generalized variable(GVAR) and the generalized value(GVAL), the variable and value transitivity law(V-V transitivity law), the attribute-combination irreversibility between the concept abstracting and embodying, an open model of the launching engine of bio-medical cognition, etc
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From the integrated view of cognitive and noetic sciences, a set of meta-dimensions and their combinations, covering almost all of general linkage and modifiers of SNOMED, has been presented. Some examples for reasoning and operating for this set have been illustrated. Therefore the article has proved theoretically that it is possible to significantly increase the abilities of reasoning or operating and being-understood by computer in data mining of EMR, etc for a terminology system including relation(or linkage) or restriction (or modifier) items such as SNOMED. It is believed also the realizations of these tasks expected by this article are not difficult in technologic aspects for the modern software and data base technologies and the good IT engineers.
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美国医学信息学协会2009年会召开
2009年11月14~18日美国医学信息学协会(American Medical Informatics Association,简称AMIA)年会在美国加州的旧金山市召开.