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Enhancing informatics competency under uncertainty at the point of decision: a knowing about knowing vision

机译:在决定中提高信息学竞争力:一个了解了解愿景

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Most informatics activity is aimed at reducing unnecessary errors, mistakes and misjudgements at the point of decision, insofar as these arise from inappropriate accessing and processing of data and information. Healthcare professionals use the results of scientific research, when available, and 'big data', when rigorously analysed, as inputs into the probability judgements that need to be made in decision making under uncertainty. But these judgements are needed irrespective of the state of 'the evidence' and personalised evidence on person/patient-important criteria is very often poor or lacking. This final stage in 'translation to the bedside' has received relatively little attention in the medical, nursing, or health informatics literature, until the recent appearance of 'cognitive informatics'. Positive experience and feed-back from several thousand students who have experienced exercises in assigning probabilities informs our future vision in which better decisions result from healthcare professionals - indeed all of us - having accepted that probability assignment is a skill, with the internal coherence and external correspondence of the probabilities assigned as twin evaluative criteria. As a route to improved correspondence — in the absence of the systematic recording and monitoring of real world judgments that would be the normal pathway to quality improvement - a 'Prober' is a set of statements to which the respondent supplies their personal probabilities that a statement is true. They receive the proper Brier score and its decomposition as analytical feedback, along with graphic representations of their discrimination and calibration, the two key components of good correspondence. Provided with estimates of their sensitivity (mean probability true for true statements) and specificity (1 minus mean probability true for false statements) they can visualise themselves as a 'test' when making diagnostic and prognostic judgements , thereby being given the cognitive foundation for such reflection in their clinical practice, including 'reflection in action'. They acknowledge that an appropriate balance of intuition and analysis is required, as in Hammond's Cognitive Continuum, and are made aware of the cognitive and motivated biases that can prevent us knowing 'how much we know about how much we know', with its deleterious effect on decision quality. Probability exercises, such as 'Probers', are proposed as an enhancement of professional courses and virtual learning environments, such as the TIGER initiative in nursing, through which the competency portfolio of all those seeking to deliver high quality person/patient-centred care can be expanded.
机译:大多数信息学活动旨在减少决定的不必要的错误,错误和误判,因为这些问题来自不适当的访问和处理数据和信息。医疗保健专业人员使用科学研究的结果,当严格分析时,当有可用和“大数据”时,作为在不确定性下决策中需要进行的概率判断的投入。但是,无论人/患者/患者的证据'和个性化证据的状态如何,都需要这些判决 - 重要标准通常差不多或缺乏。这个最后阶段“翻译到床头”在医疗,护理或健康信息学文学中受到相对较少的关注,直到最近的“认知信息学”的出现。来自分配概率的几千名学生的积极经验和反馈会对我们的未来愿景提供信息,其中医疗保健专业人员的更好决策 - 确实我们所有人都接受了概率分配是一种技能,内部连贯和外部分配为双单评价标准的概率的对应关系。作为改进通信的途径 - 在没有系统记录和监测现实世界判断的情况下,这将是质量改进的正常途径 - “探测器”是一系列陈述,受访者提供了声明的个人概率是真的。他们收到适当的Brier得分及其分解作为分析反馈,以及其辨别和校准的图形表示,良好对应的两个关键组成部分。提供了它们的敏感性估计(对于真实陈述的平均概率是真实的)和特异性(1减去误报的1减小概率),它们可以在进行诊断和预后判断时将自己视为“测试”,从而赋予了这种认知基础他们的临床实践中的反思,包括“行动中的反思”。他们承认,如哈蒙特的认知连续体中,需要适当的直觉和分析的平衡,并意识到能够阻止我们知道“我们了解我们所知道的多少”的认知和动机的偏见,以其有害效果论决策质量。概率练习,如“探测”,建议加强专业课程和虚拟学习环境,例如护理中的老虎倡议,所有这些都寻求提供高质量人/患者中心护理的能力组合扩展。

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