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KMID : 0986720160240010033
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Korean Journal of Medicine and Law
2016 Volume.24 No. 1 p.33 ~ p.49
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The Quantitative Approach of Medical Appraisal for the prevention of Adverse Clinical Incident
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Yoon Sung-Chul
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Abstract
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Nobody can deny the importance of medical appraisal in the process of medical dispute and medical lawsuit. Recently medical suits get more increasing and the medical appraisal also get more demanded quantitatively and qualitatively with better upgraded frame. Accordingly the more analytic & comprehensive appraisal is required for better quality and the more countable & objective approach is needed for systematized applications. This kind of need for the advancement of medical appraisal would not limited to cover one case analysis but classified and connected with a contribution toward a preventive clinical medicine that find the way to prevent the clinical adverse incident before next occurrence.
This research suggest to set the Precursor Events(PE) while appraising the adverse medical events and simultaneously tried to estimate the preventability, causality, disability and disease seriousness of each PE on the basis of already presented standard published in "the acceptable validity and reliability for detecting adverse events" of Korea National Evidence-based Healthcare Collaborating Agency. In addition to this, each PE was reestimated after dividing into three causes, such as human factor, material factor and system factor. The effort for quantifying, objectification and reorganizing the medical appraisal in these aspects would be highly productive data for deciding the future policy in the field of patient safety social plan(law) as well as for the better qualified medicine. Furthermore this research might be also expected helpful for the process of dispute mediation and medical lawsuit to be grounded in the more objective judgement while assessing the extent of adverseness, labor disability and handicapped sequela, etc.
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KEYWORD
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Clinical Ethics, Patient Safety, Critical Incident Reporting Systems(CIRS), adverse event, medical error
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