Tumor deposit serves as a prognostic marker in gastric cancer: A propensity score-matched analysis comparing survival outcomes.

BACKGROUND: Gastric cancer (GC) treatment is determined by accurate tumor staging. The value of tumor deposit (TD) in prognostic prediction staging system is not yet determined. METHODS: We retrospectively analyzed clinical information on GC patients who underwent gastrectomy at the Department of General Surgery of the Chinese PLA General Hospital from July 2014 to June 2016. Propensity score matching (PSM) was performed to reduce the possibility of selection bias according to the presence of TD. RESULTS: Of the 1034 GC patients, 240 (23.21%) presented with TD, which was associated with younger age and larger tumor size (all P < .05). TD-positive patients had a worse survival than TD-negative patients before (P < .001) and after (P = .017) matching. Multivariable analysis showed that mortality risk of patients with TD increased by 58%, 62%, 37%, and 40% in the crude (HR = 1.58, 95% CI 1.32-1.89, P < .001), adjusted I (HR = 1.62, 95% CI 1.35-1.94, P < .001), adjusted II (HR = 1.37, 95% CI 1.13-1.66, P = .001), and adjusted III (HR = 1.40, 95% CI 1.16-1.68, P < .001) models before matching. Similarly, in the PSM cohort patients with TD had worse prognosis in the crude (HR = 1.32, 95% CI 1.07-1.63, P = .011), adjusted I (HR = 1.35, 95% CI 1.09-1.67, P = .005), adjusted II (HR = 1.26, 95% CI 1.00-1.58, P = .049), and adjusted III (HR = 1.33, 95% CI 1.07-1.65, P = .010) models. TD had a similar value range between N1 and N2 stages among different models. CONCLUSIONS: Among GC patients, TD is associated with survival and may have a role in the staging of patients.

Construction of multi-parameter emergency database and preliminary application research / 生物医学工程学杂志

The analysis of big data in medical field cannot be isolated from the high quality clinical database, and the construction of first aid database in our country is still in the early stage of exploration. This paper introduces the idea and key technology of the construction of multi-parameter first aid database. By combining emergency business flow with information flow, an emergency data integration model was designed with reference to the architecture of the Medical Information Mart for Intensive Care III (MIMIC-III), created by Computational Physiology Laboratory of Massachusetts Institute of Technology (MIT), and a high-quality first-aid database was built. The database currently covers 22 941 medical records for 19 814 different patients from May 2015 to October 2017, including relatively complete information on physiology, biochemistry, treatment, examination, nursing, etc. And based on the database, the first First-Aid Big Data Datathon event, which 13 teams from all over the country participated in, was launched. The First-Aid database provides a reference for the construction and application of clinical database in China. And it could provide powerful data support for scientific research, clinical decision making and the improvement of medical quality, which will further promote secondary analysis of clinical data in our country.

Big data in emergency medcine and Datathon event / 中华危重病急救医学

A detailed, high-scale clinical data can be generated in the process of diagnosis and treatment of emergency critically ill patients. The integration and analysis and utilization of these data are of great value for improving the treatment level and efficiency and developing the data-driven clinical assistant decision support. China has large volume of health information resources, however, the construction of healthcare databases and subsequent secondary analysis has just started. With the effort of the Chinese PLA General Hospital in building an emergency database and promoting data sharing, the first emergency database was published in China and a health Datathon was organized utilizing this database, providing experience for clinical data integration, database construction, cross-disciplinary collaboration and data sharing. Referring to the development at home and abroad, this review discussed work in this area and further proposed establishing a big data cooperation for emergency medicine and building a learning healthcare system to integrate more clinical resources and form a closed loop of "clinical database construction-analysis-applications", and enhance the effectiveness of medical big data in reducing medical costs and improving healthcare delivery.

Development of medical image database aiming at subject service of clinic research / 生物医学工程学杂志

In order to optimize the data flow of subject datasets and to establish the service platform of medical image data, we developed a medical image database aiming at subject service of clinic research. Firstly, a novel integrated infrastructure was designed, which was based on the requirements of database system and the survey of data resource. Then, several standards and technologies had been used in the construction of this novel system, including "Subject dataset-Sample data-Image files" three-ties image information framework, DICOM-based data processing, Index & file hybrid structure of file management strategy, etc. The new system has been successfully deployed in our test-bed and has got satisfactory results.

Research on information extraction of electronic medical records in Chinese / 生物医学工程学杂志

This is a research to enhance the application of natural language understanding and ontology in the Chinese medical text semantic annotation and content analysis, and so to provide technology support for the computer-readable electronic medical records (EMR). The Chinese EMR information extraction and statistical analysis of related subjects in accordance to the user's demands were performed through building the named entity rules, the classified word list and field ontology by using GATE platform on the basis of EMR text set's construction and pre-processing. The automatic and artificial semantic annotation of EMR text set was implemented. The situation of drugs used in medicinal treatment and the distribution of patients' age and sex were obtained. The ontology-based semantic information extraction can improve the function of computer for text understanding, and the discovery of knowledge in EMR through field ontology is feasible.

e-Health in China, our practice and exploration.

China started to pay more attention to regional and national health information network construction after the SARS epidemic outbreak in 2003. The Chinese government marks the public health system construction as the most urgent part of national medical reform, with information and computer technology (ICT) being considered as the key of deploying regional collaborative medical service (RCMS), which is also known as e-Health. In this paper, we firstly analyze the difficulties of carrying out e-health projects in China and then present the active attempts, finally a case representing current progress is presented and studied.

Construction and application of audio & video teaching system for ultrasonic diagnosis based on network / 医疗卫生装备

The ultrasound devices have been widely applied in hospitals.The audio & video teaching system for ultrasonic diagnosis based on network was built for training ultrasonic diagnosis skill.The system should lay emphasis on the design of consulting room,network,server,grouping study and meeting teaching systems.The system construction and application are introduced in combination with actual experiences in hospital.

Development and Application of SMS Platform for Appointment Registration / 医疗卫生装备

Objective To resolve the problem of low speed and high failure rate of SMS.Methods The SMS module was separated,and the appointment registration system and SMS device were taken apart.Results The separate SMS platform for appointment registration system was established.Conclusion The response speed of the appointment registration system is enhanced greatly.

PKI-based security for computer-based patient record information system / 医疗卫生装备

Public Key Infrastructure (PKI) can provides a series of security services for computer-based patient record information system. This paper discusses the application of PKI to the security of computer-based patient record information system.