Reports and report generation that effectively support a fundraising organization

2010 ◽  
Vol 1996 (11) ◽  
pp. 105-116
Author(s):  
Pamela J. O'Neil
Keyword(s):  
Report Generation

scholarly journals Abbreviated Breast MRI for Screening High-Risk Women: Comparison with the Full Clinical Protocol

2020 ◽  
Author(s):  
Kendrah V Osei ◽  
Anita K Mehta ◽  
Denise M Thigpen ◽  
Jocelyn Rapelyea ◽  
Steven Friedman ◽  
...  
Keyword(s):  
High Risk ◽  
Cancer Detection ◽  
Breast Mri ◽  
Recall Rate ◽  
Report Generation ◽  
High Risk Women ◽  
Patient Recall ◽  
Abbreviated Breast Mri ◽  
Student’S T ◽  
Mri Study

Abstract Objective To compare cancer detection rate (CDR), patient recall, and interpretation time of a full protocol MRI (fpMRI) to an abbreviated MRI protocol (abMRI) in high-risk women. Methods This retrospective study was approved by the IRB. All sequential high-risk screening MRI examinations performed between January 1, 2013, and December 31, 2016, were included. Breast radiologists reviewed patient history, prior images, and abMRI images and recorded their interpretation. Time for interpretation reflected review of the MRI study but not dictation or report generation. Following a minimum 30-day washout period, radiologists interpreted the fpMRI, with interpretation and timing recorded. Data collected included CDR, interpretation time, and patient recall rate. Statistical analyses utilized were Cohen’s kappa coefficient, Student’s t-test, and McNemar’s test. Results Included were 334 MRI examinations of 286 women. Interpretation time was 60.7 seconds for the abMRI compared to 99.4 seconds for the fpMRI, with an average difference of 38.7 ± 5.4 seconds per patient (P < 0.0001). Recall rates were comparable: the abMRI recall rate was 82/334 (24.6%) and the fpMRI 81/334 (24.3%). All five cancers included were detected by both protocols with equal recall rate. However, there were more recommendations for biopsy with the fpMRI, although this difference was not statistically significant. Conclusion The abMRI demonstrated comparable CDR to fpMRI, with shortened interpretation time and similar recall rates. Implementing an abMRI to screen high-risk women reduces imaging and interpretation time, thereby improving cost-effectiveness and the patient experience without reduction in cancer detection.

Key Technology and Application of Workshop Production Management System

2011 ◽  
Vol 411 ◽  
pp. 370-373
Author(s):  
Ya Dong Fang ◽  
Fang Wang ◽  
Bo Sun
Keyword(s):  
Management System ◽  
Production Management ◽  
Dynamic Structure ◽  
New Production ◽  
Report Generation ◽  
Key Technology ◽  
Production Management System ◽  
Structure Tree ◽  
Jsp Technology ◽  
Generation Technology

Abstract. In order to resolve problem of production plane and dispatch problem in manufacturing plant, a new production management system is proposed, and the key technology and application of system is discussed. Generation technology of dynamic structure tree is firstly introduced. More ever, dynamic report generation technology is also discussed and based data, and information management is realized based on JSP technology. Lastly, typical interface of workshop production management system is described.

Design of Power Quality Management Software Based on Virtual Instrument and Oracle

2013 ◽  
Vol 427-429 ◽  
pp. 2441-2444
Author(s):  
Wei Chen ◽  
Long Chen ◽  
Ming Li
Keyword(s):  
Power Quality ◽  
Software Design ◽  
Virtual Instrument ◽  
Quality Analysis ◽  
Quality Data ◽  
Data Handling ◽  
Data Display ◽  
Report Generation ◽  
Management Capacity ◽  
Power Quality Analysis

This paper presents a software design useful for power quality analysis and data management. The software was programmed in LabVIEW and Oracle, running on Windows in a regular PC. LabVIEW acquires data continuously from the lower machine via TCP/IP. Using its database connection toolkit, LabVIEW accesses to Oracle to stores and retrieve the power quality data according to different indicators. A friendly GUI was built for data display and user operation, taking advantage of the powerful data-handling capacity of LabVIEW and its rich controls. Moreover, Excel reports can be exported using report generation toolkit in LabVIEW. The software greatly improves the data analysis and management capacity.

Expand Excellence: Business Intelligence Tools for Drilling Data Analysis as Enhanced Efficiency Approach

2021 ◽  
Author(s):  
Farit Rakhmangulov ◽  
Andrey Garipov ◽  
Mikhail Chertenkov
Keyword(s):  
Programming Languages ◽  
Business Intelligence ◽  
Data Model ◽  
Information Needs ◽  
Horizontal Section ◽  
Report Generation ◽  
Suggested Approach ◽  
Drilling Data ◽  
Main Driver ◽  
Key Issues

Abstract The business intelligence tools allow you to work with databases containing historical drilling records. This gives a possibility to collect data into a single visualized shell, to see patterns, and, most importantly, to identify the main issues. A database among Yamal region projects was taken as an example. This process automation allows you to reduce the time for collecting information and makes it possible to conduct a more detailed and thoughtful analysis of project indicators. In turn, this results in making quick and effective decisions. At the initial stage, historical drilling data over three years was analyzed, namely information on more than 800 drilling runs. A model was formed from various sources in reliance on the database, and a visual working dashboard of the project was compiled. The dashboard allowed us to recognize the main issues that were plain to see. Awareness of plain-to-see issues gives the possibility to find out what information needs to be added to the data model in order to perform more thoughtful analysis. Collecting all the data in one place is not enough. In order to bring the data together, they were collated and visualized in the most explicit way. The bulk data collected in a single model allowed us to see the whole picture of what was happening on the project and to concentrate on solving the root problem. Major issues resulted in equipment failures due to vibrations in the horizontal section. A more detailed vibration analysis showed that the bit was the main driver of vibrations. Hence, the data on rock strength and bottom hole assembly (BHA) vibrations were added to the model for further analysis. However, the complete package of data does not guarantee success. It becomes problematic to see the patterns in some situations, since analogous wells are not always available. While business intelligence tools make it easy to manage filters and find analogy, that is only fair if you have enough offset data. Based on the analysis, the most efficient bit designs were selected and proposed. The updated range of bits allowed to increase ROP in the horizontal section and reduced failures due to vibrations, so the well construction cycle was shortened. These tools are accessible for technicians, which means there is no need-to-know programming languages. Suggested approach allows to accelerate decision-making and identification of key issues. In addition, existing tools give the possibility to monitor key performance indicators continuously within a single project as well as throughout the country. In contrast to the well-known program with tables, the main advantage is the automatic update of the already built data model. This fact speeds up the analytical process and report generation by times.

The Hardware Design of Measurement System of Transmission Lines Based on Wireless Communication

2015 ◽  
Vol 1092-1093 ◽  
pp. 366-369
Author(s):  
Shu Min Sun ◽  
Wen Juan Jiang ◽  
Yu Meng ◽  
Yan Cheng
Keyword(s):  
Wireless Communication ◽  
Data Storage ◽  
Measurement System ◽  
Transmission Lines ◽  
High Speed ◽  
Time Synchronization ◽  
Clock Synchronization ◽  
Report Generation ◽  
Test Efficiency ◽  
Synchronization Module

A set of measurement system for the testing of transmission lines, composing of wireless center station, wireless current acquisition and transmission nodes, wireless voltage acquisition and transmission node, was designed, which was based on wireless communication. The high speed wireless bridge working at 2.4GHz together with the clock synchronization module based on the IEEE1588 communicating protocol were both employed for the communication and time synchronization separately. The measurement system has data storage, waveform display, data analysis, automatic report generation and other functions. The measurement system can greatly reduced arrangement of cables, thereafter improved the test efficiency.

The use of human resource information systems in two retail organisations in the Western Cape, South Africa

2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Emmanuel Udekwe ◽  
Andre C. De la Harpe
Keyword(s):  
South Africa ◽  
Information Systems ◽  
Human Resources ◽  
Human Resource ◽  
The Body ◽  
Retail Industry ◽  
Successful Implementation ◽  
Western Cape ◽  
Report Generation ◽  
Resource Information

Orientation: The retail industry is the largest contributor to employment and the gross domestic product (GDP) in the Western Cape, South Africa. The management of human resources in this very competitive industry is a high priority for all retailers. The successful implementation, maintenance and use of human resource information systems (HRISs) are an integral part of many retailers.Research purpose: Human resource information systems are difficult to implement and maintain, and as a result, organisations cannot effectively utilise these systems to their benefit. The purpose of this paper is to explore the factors affecting the implementation, maintenance and use of HRISs in two retail organisations in the Western Cape.Motivation of study: Many retailers find it difficult to apply and utilise HRISs to their benefit and to the systems’ full potential. This study explores the challenges retailers are facing when implementing, maintaining and using HRISs.Research design, approach and method: Multiple case studies were used to conduct the research. Data were collected through a semi-structured questionnaire using interviews. Twenty-one interviews were conducted in the two retail companies to gain an understanding of the use of HRISs within these organisations. The data were analysed using a thematic method of analysis. The units of analysis were the Human Resources and the Information Technology departments of both companies. The units of observation were (21) purposively selected employees in the two mentioned departments of both retail organisations.Main findings: This research shows an under-utilisation of the HRIS in both companies as a result of poor data quality, lack of adequate training and the high cost of implementing and maintaining the system. There is a gap in terms of data analytics and report generation. This gap leads to the under-utilisation of the HRISs preventing the retailers to optimise the benefits of the HRIS.Practical and managerial implications: For organisations to reap benefits from HRISs, a change management strategy and a rigorous training programme are needed that will focus on the implemented maintenance and improved usage of these systems.Contribution: The contribution of the study includes proposed guidelines for the effective and efficient use of HRISs. The study further contributes to the body of knowledge in shedding light on the implementation, maintenance and use of HRISs in the retail industry in the Western Cape, South Africa.

scholarly journals NIAGADS Alzheimer’s GenomicsDB: A resource for exploring Alzheimer’s Disease genetic and genomic knowledge

2020 ◽  
Author(s):  
Emily Greenfest-Allen ◽  
Conor Klamann ◽  
Prabhakaran Gangadharan ◽  
Amanda Kuzma ◽  
Yuk Yee Leung ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Real Time ◽  
Data Repository ◽  
Sequencing Analysis ◽  
Summary Statistics ◽  
Time Data ◽  
Report Generation ◽  
Sequencing Project ◽  
Gene Annotations

AbstractINTRODUCTIONThe NIAGADS Alzheimer’s Genomics Database is an interactive knowledgebase for AD genetics that provides access to GWAS summary statistics datasets deposited at NIAGADS, a national genetics data repository for AD and related dementia (ADRD).METHODSThe website makes available >70 genome-wide summary statistics datasets from GWAS and genome sequencing analysis for AD/ADRD. Variants identified from these datasets are mapped to up-to-date variant and gene annotations from a variety of resources and linked to functional genomics data.The database is powered by a big data optimized relational database and ontologies to consistently annotate study designs and phenotypes, facilitating data harmonization and efficient real-time data analysis and variant or gene report generation.RESULTSDetailed variant reports provide tabular and interactive graphical summaries of known ADRD associations, as well as highlight variants flagged by the Alzheimer’s Disease Sequencing Project (ADSP). Gene reports provide summaries of co-located ADRD risk-associated variants and have been expanded to include meta-analysis results from aggregate association tests performed by the ADSP allowing us to flag genes with genetic-evidence for AD.DISCUSSIONThe GenomicsDB makes available >100 million variant annotations, including ~30 million (5 million novel) variants identified as AD-relevant by ADSP, for browsing and real-time mining via the website or programmatically through a REST API. With a newly redesigned, efficient, search interface and comprehensive record pages linking summary statistics to variant and gene annotations, this resource makes these data both accessible and interpretable, establishing itself as valuable tool for AD research.

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