Chinese experts' consensus on the application of intensive care big data.

The development of intensive care medicine is inseparable from the diversified monitoring data. Intensive care medicine has been closely integrated with data since its birth. Critical care research requires an integrative approach that embraces the complexity of critical illness and the computational technology and algorithms that can make it possible.

Clinical characteristics and risk factors associated with ICU-acquired infections in sepsis: A retrospective cohort study.

Unlabelled: Intensive care unit (ICU)-acquired infection is a common cause of poor prognosis of sepsis in the ICU. However, sepsis-associated ICU-acquired infections have not been fully characterized. The study aims to assess the risk factors and develop a model that predicts the risk of ICU-acquired infections in patients with sepsis.

A Novel Interval-Valued q-Rung Dual Hesitant Linguistic Multi-Attribute Decision-Making Method Based on Linguistic Scale Functions and Power Hamy Mean.

The interval-valued q-rung dual hesitant linguistic (IVq-RDHL) sets are widely used to express the evaluation information of decision makers (DMs) in the process of multi-attribute decision-making (MADM). However, the existing MADM method based on IVq-RDHL sets has obvious shortcomings, i.e.

A meta-analysis of ABCG2 gene polymorphism and non-small cell lung cancer outcomes.

We aimed to analyze the correlation between ABCG2 gene polymorphisms of 34 GG/(GA + AA) loci, 421 CC/(AC + AA) loci, and non-small cell lung cancer (NSCLC) therapeutic effects via meta-analysis. With key words, the databases PubMed and EMBASE were searched for clinical studies on ABCG2 polymorphism and NSCLC. RR and 95% CIs were used to compute combined effects, followed by heterogeneity testing.

Analysis for warning factors of type 2 diabetes mellitus complications with Markov blanket based on a Bayesian network model.

Background And Objective: Type 2 diabetes mellitus (T2DM) complications seriously affect the quality of life and could not be cured completely. Actions should be taken for prevention and self-management. Analysis of warning factors is beneficial for patients, on which some previous studies focused.

CYFRA21-1 tests in the diagnosis of non-small cell lung cancer: A meta-analysis.

Objective: The aim of the study was to evaluate the diagnostic value of soluble fragment of cytokeratin 19 (CYFRA21-1) tests in detecting non-small cell lung cancer (NSCLC), including squamous cell carcinoma, lung adenocarcinoma, and large cell carcinoma.

Methods: The relevant studies were identified from PubMed, Embase and the Cochrane Library before November 2018. Summary estimates for sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio of CYFRA21-1 tests for the diagnosis of NSCLC were calculated using the random effects model.

Why do patients follow physicians' advice? The influence of patients' regulatory focus on adherence: an empirical study in China.

Background: In general, medical regimens and treatments are more likely to be effective if patients follow their physicians' advice. However, limited studies have focused on the relationship between regulatory focus and patient adherence. This study explores the antecedents of patient adherence employing regulatory focus theory.

Is the Internet Different from Traditional Mass Media in Promoting Patient Compliance with Mature Treatments?

Through mass media, some patients tend to seek mature treatment-related health information whereas some prefer information related to emerging treatments, which may influence patient compliance, specifically, following the medical diagnoses and treatment regimens. Given that traditional mass media (TMM) and the internet (INT) may promote the publication of different treatment-related information, this study aims to identify the difference between TMM and the INT in influencing patient compliance with mature treatments (PCMTs). Our subjects were Chinese who had received therapies within a month and had experience of seeking health information through mass media.

Understanding inter-organizational trust among integrated care service provider networks: A perspective on organizational asymmetries.

Objective: To explore the factors that influence trust among the integrated healthcare service provider network in the context of seeking combined health and care services in the UK.

Data Sources/study Setting: Primary data were collected from three regional integrated care service provider networks from March 2016 to October 2017.

Study Design: Explorative qualitative study and inductive methods from emerging findings.

Medical service unity: an effective approach for medical care in rural areas in China.

Context: Medical care in rural China has long suffered because of a concentration of medical resources in major hospitals in cities. The patients in rural areas thus do not have affordable access to quality medical services. To tackle such issues, a tiered medical scheme (TMS) was promoted by the Chinese State Council in 2015.

Mature or Emerging? The Impact of Treatment-Related Internet Health Information Seeking on Patients' Trust in Physicians.

Years of clinical trials have proven the maturity and safety of certain treatments, however, some of these mature treatments may not be highly effective. Several treatments have emerged through technological innovations, but their long-term safety, efficacy, and adverse effects remain unknown. At present, many patients seek information related to their treatments on the Internet, which may impact their attitudes towards different treatments and their trust in physicians.

Relationship Between Internet Health Information and Patient Compliance Based on Trust: Empirical Study.

Background: The internet has become a major mean for acquiring health information; however, Web-based health information is of mixed quality and may markedly affect patients' health-related behavior and decisions. According to the social information processing theory, patients' trust in their physicians may potentially change due to patients' health-information-seeking behavior. Therefore, it is important to identify the relationship between internet health information and patient compliance from the perspective of trust.

A Novel Multiattribute Decision-Making Method Based on Point⁻Choquet Aggregation Operators and Its Application in Supporting the Hierarchical Medical Treatment System in China.

The hierarchical medical treatment system is an efficient way to solve the problem of insufficient and unbalanced medical resources in China. Essentially, classifying the different degrees of diseases according to the doctor's diagnosis is a key step in pushing forward the hierarchical medical treatment system. This paper proposes a framework to solve the problem where diagnosis values are given as picture fuzzy numbers (PFNs).

A Text Structuring Method for Chinese Medical Text Based on Temporal Information.

Chinese Electronic Medical Records (EMRs) contains a large number of complex medical free text which includes a variety of information, such as temporal information, patients' symptoms and laboratory data. However, as an important knowledge base, these unstructured text data in EMR are hard to process directly by computer to support further medical research. This paper proposes a novel text structuring method to extract knowledge from EMR texts and reorganize them in chronological order according to the temporal information in the text.

A Knowledge-Constrained Access Control Model for Protecting Patient Privacy in Hospital Information Systems.

Current access control mechanisms of the hospital information system can hardly identify the real access intention of system users. A relaxed access control increases the risk of compromise of patient privacy. To reduce unnecessary access of patient information by hospital staff, this paper proposes a knowledge-constrained role-based access control (KC-RBAC) model in which a variety of medical domain knowledge is considered in access control.