Background: Since the beginning of 2020, the Corona Virus Disease has broken out globally. This public health incident has had a great impact on the work and life of the public. Aim: Based on the event system theory, this article explored the influence of the “COVID-19” event on emotional exhaustion and deviant workplace behaviors. Methods: This survey’s objects are employees working in Tianjin, Beijing, Hebei affected by the epidemic. Using the questionnaire star, the online platform of the Marketing Research Office of Peking University and “snowball” methods 700 questionnaires were collected. Results: The response rate was 89.71% (n = 700). Female employees are more sensitive to the perceived event strength of the novel coronavirus pneumonia than male employees (F = 10.94, p <0.001); Employees aged 30–40 affected by the epidemic have the highest level of emotional exhaustion (F = 5.22, p < 0.01); A higher education level leads to a higher level of emotional exhaustion (F = 4.74, p < 0.01); The emotional exhaustion is polarized with the annual family income (F = 4.099, p < 0.01). Conclusions: The novelty, disruption, criticality of the Corona Virus Disease event has had a positive impact on the emotional exhaustion of employees in the workplace; Emotional exhaustion plays a partly mediating role between event strength with constructive deviant behaviors, and destructive deviant behaviors. Emotional exhaustion has a positive effect on creative constructive deviant behaviors, challenging constructive deviant behaviors, and interpersonal destructive deviant behaviors. Emotional exhaustion has a negative impact on organizational destructive deviant behaviors, and has no significant impact on interpersonal constructive deviant behaviors.

Background and Objectives: Medical risks are considered to endanger patients and impact the health care system. Such iatrogenic risks necessitate hospitals taking a more proactive method to quantitatively analyze medical risk, and then to implement more targeted precautions. To address this problem, a novel quantitative risk assessment framework is proposed and further applied in radiotherapy risk assessment. Methods: A framework combining DMAIC (Define, Measure, Analyze, Improve, Control) and bow-tie model is used to assess health care risk. The uncertainty of medical risks is quantified with fuzzy set theory. The impact and the priority of medical risks were classified based on the risk matrix, and then the precautions were implemented to mitigate their impact. A case study of radiation treatment is provided. Results: The probabilities and impacts of risk events for radiation treatment were quantified based on the proposed framework, and risk protection measures were proposed to mitigate the undesired consequence. Conclusion: The proposed framework showing an effective method of quantitative risk assessment of health care. The study also enriches the risk assessment methods in health care by providing a conductive and normalized framework.