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https://www.readbyqxmd.com/read/29779717/the-design-and-evaluation-of-an-antimicrobial-resistance-surveillance-system-for-neonatal-intensive-care-units-in-iran
#1
Peyman Rezaei-Hachesu, Taha Samad-Soltani, Sajad Yaghoubi, Marjan GhaziSaeedi, Kayvan Mirnia, Hossein Masoumi-Asl, Reza Safdari
INTRODUCTION: Neonatal intensive care units (NICUs) have complex patients in terms of their diagnoses and required treatments. Antimicrobial treatment is a common therapy for patients in NICUs. To solve problems pertaining to empirical therapy, antimicrobial stewardship programs have recently been introduced. Despite the success of these programs in terms of data collection, there is still inefficiency in terms of analyzing and reporting the data. Thus, to successfully implement these stewardship programs, the design of antimicrobial resistance (AMR) surveillance systems is recommended as a first step...
July 2018: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/29748905/diabetes-care-in-the-digital-era-a-synoptic-overview
#2
REVIEW
Farhad Fatehi, Anish Menon, Dominique Bird
PURPOSE OF REVIEW: Diabetes care is undergoing a remarkable transformation by the advancements in information and communications technology (ICT). The aim of this review is to provide a general overview of various ICT-based interventions for diabetes care, challenges of their adoption, and consider future directions. RECENT FINDINGS: A number of systematic reviews have examined studies on various aspects of telemedicine and eHealth for diabetes care, but they are generally focused on one specific type of technology application for diabetes care...
May 10, 2018: Current Diabetes Reports
https://www.readbyqxmd.com/read/29726424/a-clinical-data-warehouse-based-on-omop-and-i2b2-for-austrian-health-claims-data
#3
Christoph Rinner, Deniz Gezgin, Christopher Wendl, Walter Gall
BACKGROUND: To develop simulation models for healthcare related questions clinical data can be reused. OBJECTIVES: Develop a clinical data warehouse to harmonize different data sources in a standardized manner and get a reproducible interface for clinical data reuse. METHODS: The Kimball life cycle for the development of data warehouse was used. The development is split into the technical, the data and the business intelligence pathway. RESULTS: Sample data was persisted in the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM)...
2018: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/29705551/an-intelligent-algorithm-for-identification-of-optimum-mix-of-demographic-features-for-trust-in-medical-centers-in-iran
#4
R Yazdanparast, S Abdolhossein Zadeh, D Dadras, A Azadeh
Healthcare quality is affected by various factors including trust. Patients' trust to healthcare providers is one of the most important factors for treatment outcomes. The presented study identifies optimum mixture of patient demographic features with respect to trust in three large and busy medical centers in Tehran, Iran. The presented algorithm is composed of adaptive neuro-fuzzy inference system and statistical methods. It is used to deal with data and environmental uncertainty. The required data are collected from three large hospitals using standard questionnaires...
April 25, 2018: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/29627462/profuso-business-process-and-ontology-based-framework-to-develop-ubiquitous-computing-support-systems-for-chronic-patients-management
#5
Angel Jimenez-Molina, Jorge Gaete-Villegas, Javier Fuentes
New advances in telemedicine, ubiquitous computing, and artificial intelligence have supported the emergence of more advanced applications and support systems for chronic patients. This trend addresses the important problem of chronic illnesses, highlighted by multiple international organizations as a core issue in future healthcare. Despite the myriad of exciting new developments, each application and system is designed and implemented for specific purposes and lacks the flexibility to support different healthcare concerns...
April 5, 2018: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/29516156/integrating-and-analyzing-medical-and-environmental-data-using-etl-and-business-intelligence-tools
#6
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
https://www.readbyqxmd.com/read/29485911/leadership-primer-for-current-and-aspiring-pulmonary-critical-care-and-sleep-medicine-academic-division-chiefs
#7
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
https://www.readbyqxmd.com/read/29461993/optimizing-technology-and-business-intelligence-with-data-governance
#8
Mary Lou Mastro
No abstract text is available yet for this article.
April 2018: Frontiers of Health Services Management
https://www.readbyqxmd.com/read/29449105/comparing-cryptomarkets-for-drugs-a-characterisation-of-sellers-and-buyers-over-time
#9
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
https://www.readbyqxmd.com/read/29402533/artificial-intelligence-and-machine-learning-in-radiology-opportunities-challenges-pitfalls-and-criteria-for-success
#10
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...
March 2018: Journal of the American College of Radiology: JACR
https://www.readbyqxmd.com/read/29302768/implementation-of-enterprise-imaging-strategy-at-a-chinese-tertiary-hospital
#11
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
https://www.readbyqxmd.com/read/29181247/interactive-visualization-of-healthcare-data-using-tableau
#12
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
https://www.readbyqxmd.com/read/29136649/discordance-between-actual-and-scheduled-check-in-times-at-a-heart-failure-clinic
#13
COMPARATIVE STUDY
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
https://www.readbyqxmd.com/read/29094958/minimizing-cross-cultural-maladaptation-how-minority-status-facilitates-change-in-international-acculturation
#14
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...
March 2018: Journal of Applied Psychology
https://www.readbyqxmd.com/read/29092897/careers-at-biotech-start-ups-and-in-entrepreneurship
#15
REVIEW
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
https://www.readbyqxmd.com/read/29068431/towards-intelligent-interpretation-of-low-strain-pile-integrity-testing-results-using-machine-learning-techniques
#16
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
https://www.readbyqxmd.com/read/28938242/clinical-data-warehouse-an-effective-tool-to-create-intelligence-in-disease-management
#17
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
https://www.readbyqxmd.com/read/28932740/tapping-the-vast-potential-of-the-data-deluge-in-small-scale-food-animal-production-businesses-challenges-to-near-real-time-data-analysis-and-interpretation
#18
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
https://www.readbyqxmd.com/read/28840365/radiology-and-enterprise-medical-imaging-extensions-remix
#19
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...
February 2018: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28828316/the-application-of-collaborative-business-intelligence-technology-in-the-hospital-spd-logistics-management-model
#20
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
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