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Business intelligence

Alejandro Villar, MarĂ­a T Zarrabeitia, Pablo Fdez-Arroyabe, Ana SanturtĂșn
Processing data that originates from different sources (such as environmental and medical data) can prove to be a difficult task, due to the heterogeneity of variables, storage systems, and file formats that can be used. Moreover, once the amount of data reaches a certain threshold, conventional mining methods (based on spreadsheets or statistical software) become cumbersome or even impossible to apply. Data Extract, Transform, and Load (ETL) solutions provide a framework to normalize and integrate heterogeneous data into a local data store...
March 7, 2018: International Journal of Biometeorology
H Bryant Nguyen, Carey C Thomson, Naftali Kaminski, Lynn M Schnapp, J Mark Madison, Robb W Glenny, Anne E Dixon
An academic medical career traditionally revolves around patient care, teaching, and scholarly projects. Thus, when an opportunity for a leadership role arises, such as Division Chief, the new leader is often unprepared with little or no formal leadership training. In this article, academic leaders of the Association of Pulmonary, Critical Care and Sleep Division Directors reviewed several leadership concepts adapted from the business sector and applied years of their experience to aid new division chiefs with their first day on the job...
February 27, 2018: Annals of the American Thoracic Society
Mary Lou Mastro
No abstract text is available yet for this article.
April 2018: Frontiers of Health Services Management
Meropi Tzanetakis
INTRODUCTION: Cryptomarkets operating on the darknet are a recent phenomenon that has gained importance only over the last couple of years (Barratt, 2012). However, they now constitute an evolving part of illicit drug markets. Although selling and buying a variety of psychoactive substances on the Internet has a long history, new technological developments enable systematic drug trading on the net.These technological innovations on the Internet allow users to proceed with (illicit) drug transactions with almost completely anonymous identities and locations...
February 12, 2018: International Journal on Drug Policy
James H Thrall, Xiang Li, Quanzheng Li, Cinthia Cruz, Synho DO, Keith Dreyer, James Brink
Worldwide interest in artificial intelligence (AI) applications, including imaging, is high and growing rapidly, fueled by availability of large datasets ("big data"), substantial advances in computing power, and new deep-learning algorithms. Apart from developing new AI methods per se, there are many opportunities and challenges for the imaging community, including the development of a common nomenclature, better ways to share image data, and standards for validating AI program use across different imaging platforms and patient populations...
January 31, 2018: Journal of the American College of Radiology: JACR
Shanshan Li, Yao Liu, Yifang Yuan, Jia Li, Lan Wei, Yuelong Wang, Xiaolu Fei
Medical images have become increasingly important in clinical practice and medical research, and the need to manage images at the hospital level has become urgent in China. To unify patient identification in examinations from different medical specialties, increase convenient access to medical images under authentication, and make medical images suitable for further artificial intelligence investigations, we implemented an enterprise imaging strategy by adopting an image integration platform as the main tool at Xuanwu Hospital...
January 4, 2018: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
Inseok Ko, Hyejung Chang
Objectives: Big data analysis is receiving increasing attention in many industries, including healthcare. Visualization plays an important role not only in intuitively showing the results of data analysis but also in the whole process of collecting, cleaning, analyzing, and sharing data. This paper presents a procedure for the interactive visualization and analysis of healthcare data using Tableau as a business intelligence tool. Methods: Starting with installation of the Tableau Desktop Personal version 10...
October 2017: Healthcare Informatics Research
Eiran Z Gorodeski, Emer Joyce, Benjamin T Gandesbery, Eugene H Blackstone, David O Taylor, W H Wilson Tang, Randall C Starling, Rory Hachamovitch
INTRODUCTION: A 2015 Institute Of Medicine statement "Transforming Health Care Scheduling and Access: Getting to Now", has increased concerns regarding patient wait times. Although waiting times have been widely studied, little attention has been paid to the role of patient arrival times as a component of this phenomenon. To this end, we investigated patterns of patient arrival at scheduled ambulatory heart failure (HF) clinic appointments and studied its predictors. We hypothesized that patients are more likely to arrive later than scheduled, with progressively later arrivals later in the day...
2017: PloS One
Sabrina D Volpone, Dennis J Marquardt, Wendy J Casper, Derek R Avery
Culturally savvy organizations recognize that selecting and developing people who can be effective in a global workforce is important in today's business environment. Nevertheless, many companies struggle to identify and develop talent who are happy and successful working and living outside their home country. We examine 1 factor that may foster success in a host country-minority status in 1's home country-as a predictor of change in acculturation over time. Specifically, we draw on the conservation of resources model to suggest that international students who have been a member of more minority groups in their home country have unique experiences working with dissimilar others that offer advantages when acculturating to new cultures and novel situations...
November 2, 2017: Journal of Applied Psychology
Susan Froshauer
The world of biotechnology "start-ups" and entrepreneurship offers exciting new avenues for driving state-of-the-art research using an arsenal of multidisciplinary skills, whether your role is as part of a team or as a leader. Although traditionally these positions may not be as secure as those offered by some of the larger companies, the small start-up culture provides opportunities for contributing at many levels to a wide range of responsibilities: from scientific discovery to delivery of proof of concept and intellectual property; from analysis of market opportunities and competitive intelligence to creation of time lines and business plans for a first product...
November 1, 2017: Cold Spring Harbor Perspectives in Biology
De-Mi Cui, Weizhong Yan, Xiao-Quan Wang, Lie-Min Lu
Low strain pile integrity testing (LSPIT), due to its simplicity and low cost, is one of the most popular NDE methods used in pile foundation construction. While performing LSPIT in the field is generally quite simple and quick, determining the integrity of the test piles by analyzing and interpreting the test signals (reflectograms) is still a manual process performed by experienced experts only. For foundation construction sites where the number of piles to be tested is large, it may take days before the expert can complete interpreting all of the piles and delivering the integrity assessment report...
October 25, 2017: Sensors
Mahtab Karami, Azin Rahimi, Ali Hosseini Shahmirzadi
Clinical business intelligence tools such as clinical data warehouse enable health care organizations to objectively assess the disease management programs that affect the quality of patients' life and well-being in public. The purpose of these programs is to reduce disease occurrence, improve patient care, and decrease health care costs. Therefore, applying clinical data warehouse can be effective in generating useful information about aspects of patient care to facilitate budgeting, planning, research, process improvement, external reporting, benchmarking, and trend analysis, as well as to enable the decisions needed to prevent the progression or appearance of the illness aligning with maintaining the health of the population...
October 2017: Health Care Manager
Flavie Vial, Andrew Tedder
Food-animal production businesses are part of a data-driven ecosystem shaped by stringent requirements for traceability along the value chain and the expanding capabilities of connected products. Within this sector, the generation of animal health intelligence, in particular, in terms of antimicrobial usage, is hindered by the lack of a centralized framework for data storage and usage. In this Perspective, we delimit the 11 processes required for evidence-based decisions and explore processes 3 (digital data acquisition) to 10 (communication to decision-makers) in more depth...
2017: Frontiers in Veterinary Science
Barbaros S Erdal, Luciano M Prevedello, Songyue Qian, Mutlu Demirer, Kevin Little, John Ryu, Thomas O'Donnell, Richard D White
Radiology and Enterprise Medical Imaging Extensions (REMIX) is a platform originally designed to both support the medical imaging-driven clinical and clinical research operational needs of Department of Radiology of The Ohio State University Wexner Medical Center. REMIX accommodates the storage and handling of "big imaging data," as needed for large multi-disciplinary cancer-focused programs. The evolving REMIX platform contains an array of integrated tools/software packages for the following: (1) server and storage management; (2) image reconstruction; (3) digital pathology; (4) de-identification; (5) business intelligence; (6) texture analysis; and (7) artificial intelligence...
August 24, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
Tongzhu Liu, Aizong Shen, Xiaojian Hu, Guixian Tong, Wei Gu
BACKGROUND: We aimed to apply collaborative business intelligence (BI) system to hospital supply, processing and distribution (SPD) logistics management model. METHODS: We searched Engineering Village database, China National Knowledge Infrastructure (CNKI) and Google for articles (Published from 2011 to 2016), books, Web pages, etc., to understand SPD and BI related theories and recent research status. For the application of collaborative BI technology in the hospital SPD logistics management model, we realized this by leveraging data mining techniques to discover knowledge from complex data and collaborative techniques to improve the theories of business process...
June 2017: Iranian Journal of Public Health
Nancy A Nixon, Omar F Khan, Hasiba Imam, Patricia A Tang, Jose Monzon, Haocheng Li, Gavin Sun, Doreen Ezeife, Sunil Parimi, Scot Dowden, Vincent C Tam
BACKGROUND: Understanding the drug development pathway is critical for streamlining the development of effective cancer treatments. The objective of the current study was to delineate the drug development timeline and attrition rate of different drug classes for common cancer disease sites. METHODS: Drugs entering clinical trials for breast, colorectal, and non-small cell lung cancer were identified using a pharmaceutical business intelligence database. Data regarding drug characteristics, clinical trials, and approval dates were obtained from the database, clinical trial registries, PubMed, and regulatory Web sites...
December 1, 2017: Cancer
Reza Safdari, Jaleh Shoshtarian Malak, Niloofar Mohammadzadeh, Azimeh Danesh Shahraki
OBJECTIVE: To demonstrate an architecture to automate the prehospital emergency process to categorize the specialized care according to the situation at the right time for reducing the patient mortality and morbidity. METHODS: Prehospital emergency process were analyzed using existing prehospital management systems, frameworks and the extracted process were modeled using sequence diagram in Rational Rose software. System main agents were identified and modeled via component diagram, considering the main system actors and by logically dividing business functionalities, finally the conceptual architecture for prehospital emergency management was proposed...
July 2017: Bulletin of Emergency and Trauma
Tom Sanders, Amy Grove, Sarah Salway, Susan Hampshaw, Elizabeth Goyder
This paper explores how commissioners working in an English local government authority (LA) viewed a health economic decision tool for planning services in relation to diabetes. We conducted 15 interviews and 2 focus groups between July 2015 and February 2016, with commissioners (including public health managers, data analysts and council members). Two overlapping themes were identified explaining the obstacles and enablers of using such a tool in commissioning: a) evidence cultures, and b) system interdependency...
August 2017: Social Science & Medicine
Ohad Dar, Jacques Loubser
Hospital-wide engagement is required to alleviate the problem of ED crowding and its associated adverse effects. To this end, the article describes a novel visualisation termed 'the ED Capacity Clock', which can be formatted using business intelligence software. This radial diagram represents ED capacity and its consumption in a format that can be understood intuitively and at a glance. The ED Capacity Clock is designed to promote common understanding and discussion between relevant hospital services and also acts as an auditing tool to monitor processes implemented to alleviate ED crowding...
June 1, 2017: Emergency Medicine Australasia: EMA
Bernd Blobel, Pekka Ruotsalainen, Diego M Lopez, Frank Oemig
Organizational, methodological and technological paradigm changes enable a precise, personalized, predictive, preventive and participative approach to health and social services supported by multiple actors from different domains at diverse level of knowledge and skills. Interoperability has to advance beyond Information and Communication Technologies (ICT) concerns, including the real world business domains and their processes, but also the individual context of all actors involved. The paper introduces and compares personalized health definitions, summarizes requirements and principles for pHealth systems, and considers intelligent interoperability...
2017: Studies in Health Technology and Informatics
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