Data Quality in Cooperative Information Systems

2011 ◽  
pp. 297-301
Author(s):  
Carla Marchetti ◽  
Massimo Mecella ◽  
Monica Scannapieco ◽  
Antoninio Virgillito
Keyword(s):  
Information System ◽  
Information Systems ◽  
Data Quality ◽  
Real World ◽  
Large Scale ◽  
Quality Certification ◽  
Geographically Distributed ◽  
Cooperative Information Systems

A Cooperative Information System (CIS) is a large-scale information system that interconnects various systems of different and autonomous organizations, geographically distributed and sharing common objectives (De Michelis et al., 1997). Among the different resources that are shared by organizations, data are fundamental; in real world scenarios, organization A may not request data from organization B, if it does not trust B’s data (i.e., if A does not know that the quality of the data that B can provide is high). As an example, in an e-government scenario in which public administrations cooperate in order to fulfill service requests from citizens and enterprises (Batini & Mecella, 2001), administrations very often prefer asking citizens for data rather than from other administrations that have stored the same data, because the quality of such data is not known. Therefore, lack of cooperation may occur due to lack of quality certification.

Measuring and Diffusing Data Quality in a Peer-to-Peer Architecture

2009 ◽  
pp. 261-287
Author(s):  
Diego Milano
Keyword(s):  
Information Systems ◽  
Data Quality ◽  
Data Replication ◽  
The Other ◽  
Data Sources ◽  
Quality Of Data ◽  
Xml Data ◽  
Cooperative Information Systems ◽  
Strict Requirement

Data quality is a complex concept defined by various dimensions such as accuracy, currency, completeness, and consistency (Wang & Strong, 1996). Recent research has highlighted the importance of data quality issues in various contexts. In particular, in some specific environments characterized by extensive data replication high quality of data is a strict requirement. Among such environments, this article focuses on Cooperative Information Systems. Cooperative information systems (CISs) are all distributed and heterogeneous information systems that cooperate by sharing information, constraints, and goals (Mylopoulos & Papazoglou, 1997). Quality of data is a necessary requirement for a CIS. Indeed, a system in the CIS will not easily exchange data with another system without knowledge of the quality of data provided by the other system, thus resulting in a reduced cooperation. Also, when the quality of exchanged data is poor, there is a progressive deterioration of the overall data quality in the CIS. On the other hand, the high degree of data replication that characterizes a CIS can be exploited for improving data quality, as different copies of the same data may be compared in order to detect quality problems and possibly solve them. In Scannapieco, Virgillito, Marchetti, Mecella, and Baldoni (2004) and Mecella et al. (2003), the DaQuinCIS architecture is described as an architecture managing data quality in cooperative contexts, in order to avoid the spread of low-quality data and to exploit data replication for the improvement of the overall quality of cooperative data. In this article we will describe the design of a component of our system named as, quality factory. The quality factory has the purpose of evaluating quality of XML data sources of the cooperative system. While the need for such a component had been previously identified, this article first presents the design of the quality factory and proposes an overall methodology to evaluate the quality of XML data sources. Quality values measured by the quality factory are used by the data quality broker. The data quality broker has two main functionalities: 1) quality brokering that allows users to select data in the CIS according to their quality; 2) quality improvement that diffuses best quality copies of data in the CIS.

scholarly journals Implementing an Integrated Large-Scale Clinical Information System for ISSSTE’s Hospital Network in Mexico

2021 ◽  
Vol 3 (2) ◽  
pp. 444-453
Author(s):  
Arturo Cervantes Trejo ◽  
Sophie Domenge Treuille ◽  
Isaac Castañeda Alcántara
Keyword(s):  
Health Care ◽  
Information System ◽  
Health Care Services ◽  
Large Scale ◽  
Clinical Information System ◽  
Clinical Information ◽  
Public Hospitals ◽  
Care Services ◽  
Cost Reductions

AbstractThe Institute for Security and Social Services for State Workers (ISSSTE) is a large public provider of health care services that serve around 13.2 million Mexican government workers and their families. To attain process efficiencies, cost reductions, and improvement of the quality of diagnostic and imaging services, ISSSTE was set out in 2019 to create a digital filmless medical image and report management system. A large-scale clinical information system (CIS), including radiology information system (RIS), picture archiving and communication system (PACS), and clinical data warehouse (CDW) components, was implemented at ISSSTE’s network of forty secondary- and tertiary-level public hospitals, applying global HL-7 and Digital Imaging and Communications in Medicine (DICOM) standards. In just 5 months, 40 hospitals had their endoscopy, radiology, and pathology services functionally interconnected within a national CIS and RIS/PACS on secure private local area networks (LANs) and a secure national wide area network (WAN). More than 2 million yearly studies and reports are now in digital form in a CDW, securely stored and always available. Benefits include increased productivity, reduced turnaround times, reduced need for duplicate exams, and reduced costs. Functional IT solutions allow ISSSTE hospitals to leave behind the use of radiographic film and printed medical reports with important cost reductions, as well as social and environmental impacts, leading to direct improvement in the quality of health care services rendered.

Internationale Marketingstrategien und Marketing-Informationssysteme der westdeutschen Pharmaindustrie in den 1950er bis 70er Jahren: Eine „Marketing-Informationsrevolution“?

2015 ◽  
Vol 56 (1) ◽  
Author(s):  
Christian Kleinschmidt ◽  
Heiko Braun
Keyword(s):  
Information System ◽  
Information Systems ◽  
International Marketing ◽  
Marketing Strategies ◽  
Unknown Quantity ◽  
Market Data ◽  
Marketing Information ◽  
Pharmaceutical Enterprises

AbstractAssuming that a formerly unknown quantity and quality of market data triggered a revolution in marketing information, we explore international marketing strategies and the significance of marketing information systems in the context of the re-internationalization of the pharmaceutical enterprises Bayer and Schering after 1945. Both companies faced an information deluge, and in both cases, distinct approaches to a modern marketing information system can be observed since the mid-1960s.

scholarly journals An Analysis of the Effects on Application of Management Accounting Information Systems and Quality Management Accounting Information

2015 ◽  
Vol 7 (3) ◽  
pp. 80-92
Author(s):  
Widia Astuty
Keyword(s):  
Information System ◽  
Organizational Culture ◽  
Information Systems ◽  
Information Management ◽  
Management Accounting ◽  
Accounting Information ◽  
Business Environment ◽  
Accounting Information System ◽  
Accounting Information Systems

The study aims to prove empirically; (i) the influence of the business environment for the application of management accounting information systems; (ii) the influence of ethics on the application of management accounting information systems; (iii) the influence of organizational culture on the implementation of management accounting information systems; and (iv) the effect of the application of management accounting information system on the quality of management accounting information. The motivation of this study due to a phenomenon of having an integration on management accounting information system whereby the information generated is not qualified, as well as the uncertainty of business environment, ethics and organizational culture which are yet to have optimal conditions. The method used is explanatory research with a survey approach, using a statistical tool of SEM Partial Linear Regression, with the aim to obtain facts concerning the occurance of phenomena, seek actual and systematic information on the application of management accounting information systems, and the quality of accounting information management. The results showed that all variable of the business environment, ethics, organizational culture affect the application of accounting information management system; and the application of management accounting information system affects the quality of information management accounting.

scholarly journals Dynamic Passenger Information System in public transport: analysis of utility and passengers’ satisfaction on the example of KZK GOP

2017 ◽  
Vol 18 (6) ◽  
pp. 16-21
Author(s):  
Ewa Brożyna
Keyword(s):  
Information System ◽  
Information Systems ◽  
Public Transport ◽  
Online Research ◽  
The Public ◽  
Rate Analysis ◽  
Performance Quality ◽  
Research Goal ◽  
Transport Analysis

This article presents topic of Dynamic Passenger Information Systems which are more and more often used in the public transport. It focuses on analysis of utility and passengers’ satisfaction of this type of system. In the first chapter there are information about DPI system that is used by one of the larger organizer of public transport – KZK GOP (Komunikacyjny Związek Komunalny Górnośląskiego Okręgu Przemysłowego). In next part of article there is online research results made by author in March – April 2017 among the passengers of KZK GOP. Research goal was knowing the utility and passengers’ satisfaction of DPI system KZK GOP. There took part 635 people in research. Respondents judged the performance quality of DPI system KZK GOP as sufficient (average rating: 3,18 on scale from 1 to 5 where 5 was the highest rate). Analysis of this research summary will let to more detailed knowing passengers’ opinion for DPI system KZK GOP and will let to suggest the actions which goal will be improvement this system.

scholarly journals KEBIJAKAN PENYELENGGARAAN PENDIDIKAN TINGGI (Studi Tentang Peran Sistem Informasi Akademik Dalam Penyelenggaran Pendidikan Tinggi Di STKIP PGRI Bangkalan)

2018 ◽  
Vol 16 (1) ◽  
pp. 16
Author(s):  
Agoeng Koerniawan SA
Keyword(s):  
Higher Education ◽  
Information System ◽  
Information Systems ◽  
Teaching And Learning ◽  
Process Data ◽  
Quality Of Higher Education ◽  
Before And After ◽  
Academic Information

The purpose of this study was to determine the role of academic information systems in improving the quality of higher education implementation in PGRI STKIP Bangkalan, and the extent to which the policies of implementing higher education before and after the use of information systems and how satisfaction is felt by students towards academic information systems at STKIP PGRI Bangkalan, named STKIP PGRI Bangkalan’s Siakad.The study was conducted by conducting a survey of users of the internet-based academic information system (Siakad STKIP PGRI Bangkalan), namely lecturers, students and employees with the method of observation and conducting in-depth interviews to obtain as much information as possible from all respondents/informants. The number of informants was 5 people consisting of the chairman of STKIP PGRI Bangkalan, Vice Chairman I, Head of BAAK and two students who had experience in their respective fields of work, knew deeply and had many roles in the process of using information systems.Based on the results of the study, it was shown that with the use of the information system/ STKIP PGRI Bangkalan’s Siakad which is one of the facilities for the smooth activities of the teaching and learning process, it proved to provide convenience, many benefits and benefits that greatly support the duties of serving lecturers, students and outsiders requiring. This is evidenced by the support of the support of lecturers and students, capacity, namely the ability of employees to process data and value, namely the benefits felt by lecturers, employees and students as well as outside parties in need.

scholarly journals Curriculum Learning for Natural Answer Generation

2018 ◽  
Author(s):  
Cao Liu ◽  
Shizhu He ◽  
Kang Liu ◽  
Jun Zhao
Keyword(s):  
Full Advantage ◽  
Real World ◽  
Large Scale ◽  
Question Answering ◽  
Generative Models ◽  
The Internet ◽  
Basic Model ◽  
The Arts ◽  
Learning Data

By reason of being able to obtain natural language responses, natural answers are more favored in real-world Question Answering (QA) systems. Generative models learn to automatically generate natural answers from large-scale question answer pairs (QA-pairs). However, they are suffering from the uncontrollable and uneven quality of QA-pairs crawled from the Internet. To address this problem, we propose a curriculum learning based framework for natural answer generation (CL-NAG), which is able to take full advantage of the valuable learning data from a noisy and uneven-quality corpus. Specifically, we employ two practical measures to automatically measure the quality (complexity) of QA-pairs. Based on the measurements, CL-NAG firstly utilizes simple and low-quality QA-pairs to learn a basic model, and then gradually learns to produce better answers with richer contents and more complete syntaxes based on more complex and higher-quality QA-pairs. In this way, all valuable information in the noisy and uneven-quality corpus could be fully exploited. Experiments demonstrate that CL-NAG outperforms the state-of-the-arts, which increases 6.8% and 8.7% in the accuracy for simple and complex questions, respectively.

scholarly journals Data Quality of the Routine Health Management Information System at the Primary Healthcare Facility and District Levels in Tanzania

2020 ◽  
Author(s):  
SUSAN F. RUMISHA ◽  
EMANUEL P. LYIMO ◽  
IRENE R. MREMI ◽  
PATRICK K. TUNGU ◽  
VICTOR S. MWINGIRA ◽  
...  
Keyword(s):  
Information System ◽  
Data Quality ◽  
Management Information System ◽  
Health Management ◽  
Health Centre ◽  
Healthcare Facility ◽  
Health Management Information System ◽  
Management Information ◽  
Service Areas

Abstract Background: Effective planning for disease prevention and control requiresaccurate, adequately-analysed, interpreted and communicated data. This study assessed the quality of routine Health Management Information System (HMIS) data at healthcare facility (HF) and district levels in Tanzania. Methods: HMIS tools used at primary health care facilities (dispensary, health centre, hospital) and district office were reviewed to assess their availability, completeness, and accuracy of collected data. The assessment involved seven health service areas namely, Outpatient department, Inpatient department, Antenatal care, Family Planning, Post-natal care, Labour and Delivery and Provider-initiated Testing and Counselling.Results: A total of 115 HFs in 11 districts were assessed. Registers (availability rate=91.1%; interquartile range (IQR):66.7%-100%) and reportforms (86.9%;IQR:62.2%-100%) were the most utilized tools. There was a limited use of tally-sheets (77.8%;IQR:35.6%-100%). Tools availability at dispensary was 91.1%, health-centre 82.2% and hospital 77.8%, and was poor in urban districts. The availability rate atthe district level was 65% (IQR:48%-75%). Reports were highly over-represented in comparison to registers’ records, with large differences observed at HF phase of the data journey and more profound in hospitals.Tool availability and data quality varied by service-areas, indicators, facility level, and districts, however, with a remarkable improvement over the years.Conclusion: There are high variations and improvements in the tool utilisation and data accuracy at facility and district levels. The routine HMIS is weak and data at district level inaccurately reflects what is available at the HFs. These results highlight the need to design tailored and inter-service strategies for improving data quality.

Quality of Routine Health Information System Data and Associated Factors Among Departments in Public Health Facilities of Harari Region, Ethiopia

2021 ◽  
Author(s):  
Adisu Tafari Shama ◽  
Hirbo Shore Roba ◽  
Admas Abera ◽  
Negga Baraki
Keyword(s):  
Public Health ◽  
Information System ◽  
Data Quality ◽  
Health Information ◽  
Health Information System ◽  
Health Facilities ◽  
Quality Data ◽  
Public Health Facilities ◽  
System Data

Abstract Background: Despite the improvements in the knowledge and understanding of the role of health information in the global health system, the quality of data generated by a routine health information system is still very poor in low and middle-income countries. There is a paucity of studies as to what determines data quality in health facilities in the study area. Therefore, this study was aimed to assess the quality of routine health information system data and associated factors in public health facilities of Harari region, Ethiopia.Methods: A cross-sectional study was conducted in all public health facilities in Harari region of Ethiopia. The department-level data were collected from respective department heads through document reviews, interviews, and observation check-lists. Descriptive statistics were used to data quality and multivariate logistic regression was run to identify factors influencing data quality. The level of significance was declared at P-value <0.05. Result: The study found a good quality data in 51.35% (95% CI, 44.6-58.1) of the departments in public health facilities in Harari Region. Departments found in the health centers were 2.5 times more likely to have good quality data as compared to departments found in the health posts. The presence of trained staffs able to fill reporting formats (AOR=2.474; 95%CI: 1.124-5.445) and provision of feedback (AOR=3.083; 95%CI: 1.549-6.135) were also significantly associated with data quality. Conclusion: The level of good data quality in the public health facilities was less than the expected national level. Training should be provided to increase the knowledge and skills of the health workers.

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