医院信息化系统在武汉新冠肺炎防疫救治过程中暴露出的问题及其引发的思考

目的针对武汉地区医院信息化系统在新型冠状病毒肺炎(简称新冠肺炎)防疫救治过程中暴露出的问题,提出应对突发公共卫生事件时医院信息化的完善方法。方法充分分析医院信息化系统在新冠肺炎防疫救治中所暴露出的各个医院信息化系统结构不同、各个医院之间无法实施信息共享、门诊病房之间系统相互独立、数据信息更新不及时等九大问题,并提出医院信息化基础布局的建立、区域链及大数据临床中的应用等多项措施。结果医院信息化能力的提高有助于降低医护人员工作强度,提高患者的安全。结论新冠肺炎疫情的发生给我国医院信息化系统带来了严峻的挑战,但同时也给我们带来了更大的机遇。我国在未来针对突发公共卫生事件时,医院信息化将为医护人员、患者提供更有利的支持。     

三级公立医院行政总值班管理现状分析与研究*

探索一套符合现代化医院的行政总值班管理体系，确保医院管理工作安全、稳定运行。分析国内外医院总值班现状和问题，运用系统性、科学性、规范性等综合干预措施，进一步提高值班人员责任意识、分析问题和解决问题能力等综合管理能力，使总值班管理从粗放式向精细化转变，实现目标标准化、过程规范化、结果同质化的服务格局。     

Registries,Databases and Repositories for Developing Artificial Intelligence in Cancer Care

Modern artificial intelligence techniques have solved some previously intractable problems and produced impressive results in selected medical domains. One of their drawbacks is that they often need very large amounts of data. Pre-existing datasets in the form of national cancer registries, image/genetic depositories and clinical datasets already exist and have been used for research. In theory, the combination of healthcare Big Data with modern, data-hungry artificial intelligence techniques should offer significant opportunities for artificial intelligence development, but this has not yet happened. Here we discuss some of the structural reasons for this, barriers preventing artificial intelligence from making full use of existing datasets, and make suggestions as to enable progress. To do this, we use the framework of the 6Vs of Big Data and the FAIR criteria for data sharing and availability (Findability, Accessibility, Interoperability, and Reuse). We share our experience in navigating these barriers through The Brain Tumour Data Accelerator, a Brain Tumour Charity-supported initiative to integrate fragmented patient data into an enriched dataset. We conclude with some comments as to the limits of such approaches.     

一种面向中医药数据的高效脱敏算法＊

目的 针对中医药大数据平台传统的加密方案效率不高的问题，提出一种高效的基于属性的内积加密的数据脱敏算法。方法 Hash（哈希）算法是应用广泛的高效的数据加密方法，但传统的哈希算法基于单一的控制策略，效率不高。本文提出一种基于属性的内积加密的数据脱敏算法，把批量的敏感数据分割为不同长度数据颗粒度，与特定密文的哈希进行内积处理。结果 在面对中医药大数据平台的海量数据加密的场景，与传统的哈希加密算法相比，本文提供的加密算法具有很好的性能。结论 为了保障个人隐私数据不被泄露，中医药大数据平台中的个人医疗数据需要加密脱敏后，才能进行分析处理或对外发布。本文提出的算法具备灵活的数据颗粒度、策略和高效的性能表现，适用于海量的中医药数据脱敏。     

A schema-focused approach to group psychotherapy for outpatients with borderline personality disorder: A randomized controlled trial

This study tests the effectiveness of adding an eight-month, thirty-session schema-focused therapy (SFT) group to treatment-as-usual (TAU) individual psychotherapy for borderline personality disorder (BPD). Patients (N = 32) were randomly assigned to SFT-TAU and TAU alone. Dropout was 0% SFT, 25% TAU. Significant reductions in BPD symptoms and global severity of psychiatric symptoms, and improved global functioning with large treatment effect sizes were found in the SFT-TAU group. At the end of treatment, 94% of SFT-TAU compared to 16% of TAU no longer met BPD diagnosis criteria (p < .001). This study supports group SFT as an effective treatment for BPD that leads to recovery and improved overall functioning.     

Which constructs can predict emotional exhaustion in a working population? A study into its determinants

The main objective of this study was to examine the psychosocial stress model developed by Taylor and Aspinwall with emotional exhaustion as the outcome variable. Respondents, 409 men and 346 women, who had a paid job for at least 20 hours per week, completed questionnaires concerning demographic variables, personality, temperament, work pressure, workload, perceived social support, appraisal, coping, and emotional exhaustion. Structural equation analyses provided only partial support for the validity of the model. First, on theoretical and statistical grounds, one more path linking external resources to social support was added. Second, contrary to expectations, coping styles did not predict emotional exhaustion. To conclude, when coping is measured retrospectively, it does not add to our understanding of emotional exhaustion. It is suggested that future studies should be longitudinal and include objective measures of stressors and psychosocial health outcomes in addition to self‐reports. Copyright © 2007 John Wiley & Sons, Ltd.     

Personality traits of agreeableness and extraversion are associated with ADH4 variation.

BACKGROUND: Personality traits are associated with substance dependence (SD); genetic factors may influence both. Strong associations between ADH4 variation and SD have been reported. We aimed to investigate the relationship between ADH4 variation and personality traits in the present study. METHODS: We assessed dimensions of the five-factor model of personality in 243 subjects with SD (175 European Americans [EAs] and 68 African Americans [AAs]) and 296 healthy control subjects (256 EAs and 40 AAs). We also genotyped 7 ADH4 markers (spanning the locus) and 38 unlinked ancestry-informative markers in these subjects. The relationships between the diplotypes, alleles, and genotypes at ADH4 and personality traits were examined using multivariate analysis of covariance (MANCOVA), controlling for potential confounders. RESULTS: Generally, SD patients, older individuals, and male subjects scored higher on neuroticism and lower on other personality factors. Personality factors were associated with the diplotypes. The allele A or genotype A/A of single nucleotide polymorphism (SNP)6 (rs1800759 at the gene promoter) was significantly associated with agreeableness scores. There were associations between extraversion and SNP1 (hcv2033010 at the 3' end) and SNP2 (rs1042364 in exon 9) in subjects with higher conscientiousness scores. CONCLUSIONS: The personality traits of agreeableness and extraversion are related to ADH4 polymorphism. Among the ADH4 markers that appear to predispose to certain personality traits, the functional variant rs1800759 (SNP6) in the promoter region is most important. We conclude that personality traits and SD have a partially overlapping genetic basis.     

小学生个性影响因素研究

【目的】分析影响儿童个性的有关因素，为培养儿童的健全人格提供依据。【方法】对西安市所属的七个区各随机抽取一所学校，每所学校抽取四、五、六年级各两个班．采用龚耀先修订的艾森克个性问卷（Eysenck Personality Questionnaire，EPQ）（儿童用）和自编的个人一般情况调查表，对2000名儿童进行调查。将调查所得数椐进行多元逐步回归分析。【结果】影响小学生个性精神性（Psy choticism，P）的因素有性别、是否班干部、父母关系；影响内外向（extrovision and intrnision，E）的因素有性别、父母关系、是否班干部、住所、母亲文化程度、所在学校；影响情绪稳定性（nearoticism，N）、掩饰性（lie,L）的均为性别、父母关系2个因素。【结论】儿童个性受家庭、学校环境等的多重影响。家长、教师应创造良好的家庭、社会环境，保持情绪乐观、稳定，避免对子女儿童的负面影响，以利于其个性向积极方向发展。     

Differences between urban and rural suicides

As part of a nation-wide psychological autopsy we examined the differences in DSM-III-R mental disorders, recent life events and other characteristics between urban (n=143) and rural (n=85) completed suicides in a random sample of 229 cases from the National Suicide Prevention Project in Finland for the period 1987-1988. Psychoactive substance use disorders (48% vs. 34%), cluster B personality disorders (24% vs. 9%) and psychiatric comorbidity (66% vs. 42%) were found more commonly among urban than rural suicides. Urban suicides were also more often reported to be preceded by a recent separation (25% vs. 8%), whereas rural suicide victims tended to have lacked a close companion of the opposite sex (36% vs. 18%) and to have had physical disorders (56% vs. 40%). Overall, urban and rural suicides may vary with regard to the prevalence of some mental disorders, their comorbidity, and physical disorders, as well as the preceding life situation. This variation may also imply the need for differences in strategies for suicide prevention in each setting.