A Neurology Clinical History Management System

2020 ◽  
Vol 5 (2) ◽  
pp. 13-26
Author(s):  
Antonio Sarasa
Keyword(s):  
Data Analysis ◽  
Information Management ◽  
Management System ◽  
Web Application ◽  
Clinical History ◽  
Information Management System ◽  
Medical Centers ◽  
Android App ◽  
The One ◽  
Clinical Records

The information management applications of medical centers do not adapt well to the needs of neurology consultations. The main problems refer to the structure of the reports that they generate, the limitations they offer to perform data analysis, and the limitations to export the information to different formats than the one managed by the application. Taking into account these problems and others, this work presents an information management system for neurological clinical records. The objective is to facilitate the completion of consultations of the specialist in neurology. The system consists of two applications, a web application and an Android app that communicate through a MongoDB database.

Development of Online Egg Grading Information Management System with Data Warehouse Technique

2020 ◽  
Vol 36 (4) ◽  
pp. 589-604
Author(s):  
Seung-Chul Yoon ◽  
Tae Sung Shin ◽  
Kurt Lawrence ◽  
Deana R. Jones
Keyword(s):  
Information System ◽  
Data Warehouse ◽  
Information Management ◽  
Data Storage ◽  
Management System ◽  
Web Application ◽  
Data Entry ◽  
Information Management System ◽  
Online Data ◽  
Web Based

Highlights Digital data collection and management system is developed for the USDA-AMS’s shell-egg grading program. Database system consisting of OLTP, data warehouse and OLAP databases enables online data entry and trend reporting. Data and information management is done through web application servers. Users access the databases via web browsers. Abstract . This paper is concerned with development of web-based online data entry and reporting system, capable of centralized data storage and analytics of egg grading records produced by USDA egg graders. The USDA egg grading records are currently managed in paper form. While there is useful information for data-driven knowledge discovery and decision making, the paper-based egg grading record system has fundamental limitations in effective and timely management of such information. Thus, there has been a demand to electronically and digitally store and manage the egg grading records in a database for data analytics and mining, such that the quality trends of eggs observed at various levels (e.g., nation or state) are readily available to decision makers. In this study, we report the design and implementation of a web-based online data entry and reporting information system (called USDA Egg Grading Information Management System, EGIMS), based on a data warehouse framework. The developed information system consisted of web applications for data entry and reporting, and internal databases for data storage, aggregation, and query processing. The internal databases consisted of online transaction processing (OLTP) database for data entry and retrieval, data warehouse (DW) for centralized data storage and online analytical processing (OLAP) database for multidimensional analytical queries. Thus, the key design goal of the system was to build a system platform that could provide the web-based data entry and reporting capabilities while rapidly updating the OLTP, DW and OLAP databases. The developed system was evaluated by a simulation study with statistically-modeled egg grading records of one hypothetical year. The study found that the EGIMS could handle approximately up to 600 concurrent users, 32 data entries per second and 164 report requests per second, on average. The study demonstrated the feasibility of an enterprise-level data warehouse system for the USDA and a potential to provide data analytics and data mining capabilities such that the queries about historical and current trends can be reported. Once fully implemented and tested in the field, the EGIMS is expected to provide a solution to modernize the egg grading practice of the USDA and produce the useful information for timely decisions and new knowledge discovery. Keywords: Data warehouse, Database, OLTP, OLAP, Egg grading, Information management, Web application, Information system, Data.

scholarly journals Daily Information Management System for Postgraduates to Check In and Out of the Dormitory Based on Mobile Edge Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Kewei Wen ◽  
Yong Fang
Keyword(s):  
Graduate Students ◽  
Information Management ◽  
Management System ◽  
Web Application ◽  
Performance Test ◽  
Information Management System ◽  
Experimental Result ◽  
Daily Lives ◽  
Average Value ◽  
Management Modes

In recent years, the enrollment scale of graduate students has been increasing, and tutor resources are relatively scarce. Tutors often need to bring in dozens or even dozens of students, which puts a heavy burden on the tutor’s work. In order to reduce the work pressure of tutors and to manage graduate students in a scientific and standardized manner, this paper has designed a daily information management system for graduate students entering and exiting the dormitory to check in and out, which realizes the management of student attendance, work, and training and is carried out to improve the quality of graduate education. In this paper, based on the actual situation of the student dormitory, we comprehensively analyze user needs, management modes, existing resources, etc. and propose a Web application system divided into fingerprint access control, attendance data manipulation, and B/S architecture. Using design and development ideas for four functional modules on the client and management side and MATLAB simulation, we compare a three-tier and two-tier processing architecture under an average resource allocation scheme in terms of model utility, model power consumption, task delay constraints, and differences in the number of users. The experiment proves that, through the test of LoadRunner software, the experimental result is the average value of multiple tests. After the analysis of the performance test result, the peak number of concurrent users of this system is 1500. The daily information management model designed in this paper for graduate students to enter and exit the dormitory shows that it is stable, easy to operate, and interface-friendly and provides preset functions. It offers a new way for graduate students to manage their daily lives and has high practical value.

scholarly journals Optimization of Multidimensional Clinical Information System for Schizophrenia

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yu Jiang ◽  
Hang Yu ◽  
Jun Jiang
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Data Management ◽  
Information Management ◽  
Management System ◽  
Functional Module ◽  
Information Management System ◽  
Multidimensional Data ◽  
System Management ◽  
Multidimensional Information

Schizophrenia is a serious mental disease whose pathogenesis has not been fully elucidated. Its clinical evaluation and diagnosis still highly depend on the clinical experience of doctors. It is of great scientific value and clinical significance to study the inducing factors and neuropathological mechanism of schizophrenia. Based on the four research problems of schizophrenia, this paper analyzes the data types that need to be stored in clinical trials and scientific research, including basic information, case report data, neuropsychological and cognitive function evaluation, magnetic resonance data, electroencephalogram (EEG) data, and intestinal flora data. Through the demand analysis of the system, including the data management part, data analysis part, the functional demand of the system management part, and the overall nonfunctional demand of the system, the overall architecture design, functional module division, and database table structure design of the system are completed. Adopting Browser/Server (B/S) architecture and front-end and back-end separation mode and applying Java and Python programming language, based on spring framework and database, a multidimensional information management system for schizophrenia is designed and implemented, which includes four modules: data analysis, data management, system management, and security control. In addition, each functional module of the system is designed and implemented in detail, and the software operation flow of each module is illustrated with the sequence diagram. Finally, the multidimensional data of schizophrenia collected in our laboratory were used for system test to verify whether the system can meet the needs of clinical big data management of schizophrenia and the multidimensional information management system of schizophrenia can meet the needs of clinical big data management. The information management system helps schizophrenic researchers to carry out data management and data analysis. It also has advantages that are easy to use, safe, and efficient and has strong scalability in data management, data analysis, and scalability. It reflects the innovation of the system and provides a good platform for the management, research, and analysis of clinical big data of schizophrenia.

scholarly journals DILG Negros Occidental Contact Tracer Information Management System

2021 ◽  
Vol 2 (4) ◽  
pp. 79-95
Author(s):  
John Christopher Reguindin ◽  
Reymund Sabay ◽  
Dennis Madrigal
Keyword(s):  
Information Management ◽  
Management System ◽  
Web Application ◽  
Information Management System ◽  
Automated System ◽  
Technology And Innovation ◽  
Use Of Technology ◽  
Wide Range ◽  
Task Team ◽  
Day To Day Operations

COVID-19 pandemic reshapes the use of technology and innovation in an organization. Organizations are adopting and utilizing technologies in their day-to-day operations. Information Systems offer a wide range of solutions in terms of data management and interconnecting people with the use of a system. Its use was proven to enhance and improve the productivity of an organization in this pandemic. These promising results led the researcher to develop the Department of the Interior and Local Government (DILG) Negros Occidental Contact Tracer Information Management System (CTIMS). The CTIMS is a web application that enables DILG Negros Occidental Personnel to manage and facilitate all DILG Hired-Contact Tracers (CT) in the Province of Negros Occidental. The automated system made the data collection easy and error-free, streamlined reporting, and eliminated the time-consuming process of consolidating the Accomplishment Reports (ARs) from the Field and Provincial Offices. The document tracker feature replaced the manual entry in the logbook. It also improved the received and released document reporting. It improved the processes of the CT Task team compared to the manual operations and is expected to increase the productivity, effectivity, and efficiency of DILG Negros Occidental. 

Sign in / Sign up

Export Citation Format

Share Document