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医师群体中计算机技能的传播:感染过程模型。

Dissemination of computer skills among physicians: the infectious process model.

作者信息

Quinn F B, Hokanson J A, McCracken M M, Stiernberg C M

出版信息

J Med Syst. 1984 Aug;8(4):307-17. doi: 10.1007/BF02222178.

Abstract

While the potential utility of computer technology to medicine is often acknowledged, little is known as to the best methods to actually teach physicians about computers. The current variability in physician computer fluency implies there is no accepted minimum required level of computer skills for physicians. Special techniques are needed to instill these skills in the physician and measure their effects within the medical profession. This hypothesis is suggested following the development of a specialized course for the new physician. In a population of physicians where medical computing usage was considered nonexistent, intense interest developed the following exposure to a role model having strong credentials in both medicine and computer science. This produced an atmosphere where there was a perceived benefit in being knowledgeable about the medical computer usage. The subsequent increase in computer systems use was the result of the availability of resources and development of computer skills that could be exchanged among the students and faculty. This growth in computer use is described using the parameters of an infectious process model. While other approaches may also be useful, the infectious process model permits the growth of medical computer usage to be quantitatively described, evaluates specific determinants of use patterns, and allows the future growth of computer utilization in medicine to be predicted.

摘要

虽然计算机技术对医学的潜在效用常常得到认可,但对于实际教授医生使用计算机的最佳方法却知之甚少。目前医生的计算机操作熟练程度各不相同,这意味着对于医生而言,尚无公认的计算机技能最低要求水平。需要采用特殊技术,向医生传授这些技能,并在医疗行业内衡量其效果。这一假设是在为新医生开设一门专业课程之后提出的。在一群被认为不存在医疗计算机使用情况的医生中,在接触到一位在医学和计算机科学方面都有很强资质的榜样人物后,产生了浓厚的兴趣。这营造了一种氛围,即人们认为了解医疗计算机的使用是有益的。随后计算机系统使用量的增加,是资源可得性以及学生和教师之间能够交流的计算机技能发展的结果。计算机使用量的这种增长是用感染过程模型的参数来描述的。虽然其他方法可能也有用,但感染过程模型能够对医疗计算机使用量的增长进行定量描述,评估使用模式的具体决定因素,并预测未来医学中计算机使用量的增长情况。

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