Data sharing. Compartir datos de investigación, una práctica que todo investigador debería implementar en el proceso de investigación / Data sharing. Sharing research data, a practice that every researcher should implement in the research process

Introducción: Compartir datos es una práctica que beneficia y nutre a la ciencia abierta. La reutilización de datos sin procesar puede aportar nuevos resultados de investigación y otorga un segundo uso a los conjuntos de datos creados con otro fin, que además pueden servir como respaldo de los resultados de investigación. Objetivo: Exponer y actualizar los aspectos más importantes relacionados con el uso compartido de datos como parte del proceso de investigación. Material y Métodos: Se realizó un estudio bibliográfico que analiza y compila los principales aspectos que debe conocer un investigador que pretende compartir los datos de resultantes de sus investigaciones. Se empleó el análisis de contenido y el análisis documental clásico para la selección de documentos relevantes al estudio de la temática analizada. Desarrollo: Se establece una guía de repositorios de datos y buscadores de repositorios, donde se explican sus principales características. Se explica la importancia del papel de las revistas en el proceso de compartir datos de investigación y las tendencias internacionales de revistas científicas, así como los niveles de acceso a los set de datos de las investigaciones. Se abordan las ventajas de la aplicación de data sharing y su importancia. Conclusiones: Se ofrecen recomendaciones que se deben considerar para elegir repositorios cuando se pretende alojar datos de investigación(AU)

Introduction: Data sharing is a practice that benefits and nurtures open science movement. The reuse of raw data can provide new research results and give a second use to data sets created for another purpose, which can also serve as a support for research results. Objective: To present and update the most important aspects related to data sharing as part of the research process. Material and Methods: This is a bibliographic study that analyzes and compiles the main aspects that a researcher who intends to share the data resulting from his research should know. Content analysis and classic documentary analysis were used for the selection of documents relevant to the study on the subject analyzed. Development: A guide to data repositories and repository search engines is established, and its main characteristics are explained. The importance of the role of journals in the process of sharing research data, international trends in scientific journals, and the levels of access to research data sets, are explained. The advantages of the application of data sharing and its importance are discussed. Conclusions: Recommendations, which should be considered when choosing repositories to host research data, are offered(AU)

Design and Application of Multidisciplinary Consultation System Based on the Clinical Data Center / 医学信息学杂志

The paper introduces the background of establishing the multidisciplinary consultation system,designs the architecture of the multidisciplinary consultation system including the links of consultation application,prompt,acceptance,recording,evaluation,etc.,and collects all diagnosis and treatment information of patients based on the clinical data center.The application of the multidisciplinary consultation system is able to optimize the process,improve the efficiency and quality,and achieve closed-loop management.

Construction of Hospital Knowledge Service System Based on Clinical Data Center / 医学信息学杂志

Based on the new trend of transition from information service to knowledge service currently emerging in the field of information service,the paper presents the construction of a knowledge service system based on clinical data center.It introduces the architecture of the system,analyzes its features,describes its application effect and discusses the issues to be concerned for the further development of the knowledge service system in the future.

Construction and Standardization Research on Hospital Medical Imaging Data Center Based on Clinical Data Repository / 中国医学影像学杂志

Hospital image information system is evolving from department-oriented to patient-oriented. This paper introduces the implementation of Beijing University People's Hospital image data center. The ideas, approaches and the technological standards for image data center's system integration are proposed. Additionally, the problems in practical application and the outlook for this system are discussed.

Development of Computerized Surveillance Programs based on a Hospital Electronic Medical Records System / 병원감염관리

BACKGROUND: As information technology evolves rapidly computer-based surveillance systems for nosocomial infection have been developed. Well designed computerized system could provide an opportunity for improving, enlarging, and conducting hospital-wide surveillance more efficiently in the situation with limited resources. Recently, we launched a new computerized monitoring system in a hospital where digital medical information system has been operated without paper chart. METHODS: We developed a new surveillance program based on the total Electronic Medical Record (EMR) system. Numerous critical medical information can be easily accessible through this system without further work. This includes major demographic data, essential information from the inpatient medical record, the laboratory information system, and the pharmacy information, Comprehensive Clinical Data Repository (CDR) system was also developed. CDR is potentially very useful to conduct a hospital-wide surveillance by integrating all the available information. RESULTS: This system consists of several programs in the EMR and the CDR environment. In the EMR system, inquiry for patients with fever, case ascertainment and registration of nosocomial infections, inquiry for patients with indwelling devices, microbiological reports, and data on antibiotic prescriptions were included. The CDR has integrated comprehensive inquiries for frequency of major pathogens in clinical isolates and their trends of antibiotic resistance, nosocomial infection rates based on the duration of the devices or hospitalization, and the history of antimicrobial usage based on defined daily dosage. Data obtained from the EMR and the CDR systems could be easily accessed by infectious diseases specialists and healthcare workers of infection control services at any place within the hospital. A new reporting system has been built up to facilitate identification of notifiable diseases among the list of diagnoses on the EMR. In addition, the "Alert" notice was designed to highlight isolation precautions for indicated cases. CONCLUSION: This new computerized surveillance program might be a valuable model to which other hospitals can refer to develop newer version of programs in the future.