The design and structure of clinical research information systems

1985 ◽  
Vol 9 (3) ◽  
pp. 109-119 ◽  
Author(s):  
Marcia A. Testa ◽  
Donald C. Simonson
Keyword(s):  
Information Systems ◽  
Clinical Research ◽  
Research Information

scholarly journals Multilingual Medical Data Models in ODM Format

2012 ◽  
Vol 03 (03) ◽  
pp. 276-289 ◽  
Author(s):  
J. Kenneweg ◽  
F. Fritz ◽  
P. Bruland ◽  
D. Doods ◽  
B. Trinczek ◽  
...  
Keyword(s):  
Information Systems ◽  
Clinical Research ◽  
Data Model ◽  
Information Exchange ◽  
Technical Specification ◽  
Medical Data ◽  
Data Models ◽  
Data Types ◽  
Research Information ◽  
Web Based

SummaryBackground: Semantic interoperability between routine healthcare and clinical research is an unsolved issue, as information systems in the healthcare domain still use proprietary and site-specific data models. However, information exchange and data harmonization are essential for physicians and scientists if they want to collect and analyze data from different hospitals in order to build up registries and perform multicenter clinical trials. Consequently, there is a need for a standardized metadata exchange based on common data models. Currently this is mainly done by informatics experts instead of medical experts.Objectives: We propose to enable physicians to exchange, rate, comment and discuss their own medical data models in a collaborative web-based repository of medical forms in a standardized format.Methods: Based on a comprehensive requirement analysis, a web-based portal for medical data models was specified. In this context, a data model is the technical specification (attributes, data types, value lists) of a medical form without any layout information. The CDISC Operational Data Model (ODM) was chosen as the appropriate format for the standardized representation of data models. The system was implemented with Ruby on Rails and applies web 2.0 technologies to provide a community based solution. Forms from different source systems – both routine care and clinical research – were converted into ODM format and uploaded into the portal.Results: A portal for medical data models based on ODM-files was implemented (http://www.medical-data-models.org). Physicians are able to upload, comment, rate and download medical data models. More than 250 forms with approximately 8000 items are provided in different views (overview and detailed presentation) and in multiple languages. For instance, the portal contains forms from clinical and research information systems.Conclusion: The portal provides a system-independent repository for multilingual data models in ODM format which can be used by physicians. It serves as a platform for discussion and enables the exchange of multilingual medical data models in a standardized way.

Clinical Research Information Systems

2012 ◽  
pp. 135-154
Author(s):  
Prakash M. Nadkarni ◽  
Luis N. Marenco ◽  
Cynthia A. Brandt
Keyword(s):  
Information Systems ◽  
Clinical Research ◽  
Research Information

An Iterative Data Cleansing and Migration Framework for Research Information Systems

2021 ◽  
Author(s):  
Baumgart Matthias ◽  
Romer Lisa ◽  
Luhr Matthias ◽  
Roschke Christian ◽  
Ritter Marc ◽  
...  
Keyword(s):  
Information Systems ◽  
Research Information ◽  
Data Cleansing ◽  
And Migration

scholarly journals Enhanced model for ergonomic evaluation of information systems: application to scientific research information system

2019 ◽  
Vol 9 (1) ◽  
pp. 683
Author(s):  
Khaoula Benmoussa ◽  
Majida Laaziri ◽  
Samira Khoulji ◽  
Kerkeb Mohamed Larbi ◽  
Abir El Yamami
Keyword(s):  
Information System ◽  
Information Systems ◽  
Hybrid Model ◽  
Human Factor ◽  
Scientific Research ◽  
Research Information ◽  
Computing Systems ◽  
Research Information System ◽  
Ergonomic Evaluation

<p><span lang="EN-US">Considering the importance of the ergonomic aspect for information systems in providing an easy use of the computing systems, this paper focuses on the elaboration of a hybrid model for the ergonomic evaluation of information systems that merges a set of inspection dimensions such as accessibility, practicality, emotionality, and technological persuasion. Details on how the model has been constructed and data have been collected are presented. For the evaluation of our model, a situation of an information system for scientific research (SIMArech) in Moroccan Universities has been studied. This model can be used by ergonomist and human factor professionals. It is found that the proposed heuristics can effectively assess the most important dimensions of scientific research information systems.</span></p>

scholarly journals Guideline for Selecting Types of Reliability and Suitable Intra-class Correlation Coefficients in Clinical Research

2021 ◽  
Author(s):  
Khalil Taherzadeh Chenani ◽  
Farzan Madadizadeh
Keyword(s):  
Clinical Research ◽  
Correlation Coefficients ◽  
Reliability Test ◽  
Research Information ◽  
Rater Reliability ◽  
Intra Class Correlation ◽  
Medical Researchers ◽  
Different Types ◽  
Test Retest Reliability ◽  
Cluster Correlation

Introduction: Reliability is an integral part of measuring the reproducibility of research information. Intra-cluster correlation coefficient (ICC) is one of the necessary indicators for reliability reporting, which can be misleading in terms of its diversity. The main purpose of this study was to introduce the types of reliability and appropriate ICC indices.  Methods: In this tutorial article, useful information about the types of reliability and indicators needed to report the results, as well as the types of ICC and its applications were explained for dummies. Results: Three general types of reliability include inter-rater reliability, test-retest reliability, and intra-rater reliability was presented. 10 different types of ICC were also introduced and explained. Conclusion: The research results may be misleading if any of the reliability types and calculation criteria types are chosen incorrectly. Therefore, to make the results of the study more accurate and valuable. Medical researchers must seek help from relevant guidelines such as this study before conducting reliability analysis.  

Education, Research, Information Systems and the North

1988 ◽  
Vol 20 (1) ◽  
pp. 128
Author(s):  
Martha Andrews ◽  
W. Peter Adams ◽  
Peter Adams
Keyword(s):  
Education Research ◽  
Information Systems ◽  
Research Information ◽  
The North
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