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https://www.readbyqxmd.com/read/28282239/the-role-of-teamwork-in-the-analysis-of-big-data-a-study-of-visual-analytics-and-box-office-prediction
#1
Verica Buchanan, Yafeng Lu, Nathan McNeese, Michael Steptoe, Ross Maciejewski, Nancy Cooke
Historically, domains such as business intelligence would require a single analyst to engage with data, develop a model, answer operational questions, and predict future behaviors. However, as the problems and domains become more complex, organizations are employing teams of analysts to explore and model data to generate knowledge. Furthermore, given the rapid increase in data collection, organizations are struggling to develop practices for intelligence analysis in the era of big data. Currently, a variety of machine learning and data mining techniques are available to model data and to generate insights and predictions, and developments in the field of visual analytics have focused on how to effectively link data mining algorithms with interactive visuals to enable analysts to explore, understand, and interact with data and data models...
March 2017: Big Data
https://www.readbyqxmd.com/read/28256928/performance-assessment-of-human-resource-by-integration-of-hse-and-ergonomics-and-efqm-management-system
#2
Mohsen Sadegh Amalnick, Mansour Zarrin
Purpose The purpose of this paper is to present an integrated framework for performance evaluation and analysis of human resource (HR) with respect to the factors of health, safety, environment and ergonomics (HSEE) management system, and also the criteria of European federation for quality management (EFQM) as one of the well-known business excellence models. Design/methodology/approach In this study, an intelligent algorithm based on adaptive neuro-fuzzy inference system (ANFIS) along with fuzzy data envelopment analysis (FDEA) are developed and employed to assess the performance of the company...
March 13, 2017: International Journal of Health Care Quality Assurance
https://www.readbyqxmd.com/read/28229839/-the-impact-of-electronic-monitoring-on-healthcare-associated-infections-the-role-of-the-hvital-platform
#3
Rita Fontes Oliveira, Lídia Castro, José Pedro Almeida, Carlos Alves, António Ferreira
INTRODUCTION: In Portugal, 9.8% of patients admitted were inflicted with healthcare associated infections, corresponding to a prevalence of 11.7%. The Hospital de São João has developed a business intelligence platform able to supervise (the patients), monitor (the clinical condition) and notify (the healthcare personnel): HViTAL. This study aims to assess the impact of electronic monitoring on healthcare associated infections since the year of HViTAL implementation. MATERIAL AND METHODS: We evaluated data since January 2008 (moment from which computerized records exist) until December 2011, comparing them with subsequent data, those corresponding to January 2012 (implementation date of HViTAL) until 19 October 2015...
November 2016: Acta Médica Portuguesa
https://www.readbyqxmd.com/read/28210517/facetgist-collective-extraction-of-document-facets-in-large-technical-corpora
#4
Tarique Siddiqui, Xiang Ren, Aditya Parameswaran, Jiawei Han
Given the large volume of technical documents available, it is crucial to automatically organize and categorize these documents to be able to understand and extract value from them. Towards this end, we introduce a new research problem called Facet Extraction. Given a collection of technical documents, the goal of Facet Extraction is to automatically label each document with a set of concepts for the key facets (e.g., application, technique, evaluation metrics, and dataset) that people may be interested in...
October 2016: Proceedings of the ... ACM International Conference on Information & Knowledge Management
https://www.readbyqxmd.com/read/28174613/banknote-recognition-investigating-processing-and-cognition-framework-using-competitive-neural-network
#5
Oyebade K Oyedotun, Adnan Khashman
Humans are apt at recognizing patterns and discovering even abstract features which are sometimes embedded therein. Our ability to use the banknotes in circulation for business transactions lies in the effortlessness with which we can recognize the different banknote denominations after seeing them over a period of time. More significant is that we can usually recognize these banknote denominations irrespective of what parts of the banknotes are exposed to us visually. Furthermore, our recognition ability is largely unaffected even when these banknotes are partially occluded...
February 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/28057607/the-value-of-electronic-medical-record-implementation-in-mental-health-care-a-case-study
#6
Sanaz Riahi, Ilan Fischler, Melanie I Stuckey, Philip E Klassen, John Chen
BACKGROUND: Electronic medical records (EMR) have been implemented in many organizations to improve the quality of care. Evidence supporting the value added to a recovery-oriented mental health facility is lacking. OBJECTIVE: The goal of this project was to implement and customize a fully integrated EMR system in a specialized, recovery-oriented mental health care facility. This evaluation examined the outcomes of quality improvement initiatives driven by the EMR to determine the value that the EMR brought to the organization...
January 5, 2017: JMIR Medical Informatics
https://www.readbyqxmd.com/read/28048832/su-f-p-43-use-of-freeware-business-intelligence-software-to-trend-tg-142-compliant-linac-qa-parameters
#7
A Ayan, D DiCostanzo, J Woollard, N Gupta
PURPOSE: To develop a software platform to track linac QA parameter trends using readily available freeware business intelligence (BI) software METHODS: Spreadsheets were used to collect QA data by many, if not all, institutions; but the trending analysis with data from separate spreadsheets could be a cumbersome task. A freeware version of the Microsoft Power BI software was adapted to trend linac QA parameters to allow us to maintain nine dosimetrically equivalent linacs. A monthly QA spreadsheet (Microsoft Excel) has been used in our institution to collect QA data...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28045653/intelligent-monitoring-system-for-antiviral-pharmacotherapy-in-patients-with-chronic-hepatitis-c-simon-vc
#8
Luis Margusino-Framiñán, Purificación Cid-Silva, Álvaro Mena-de-Cea, Ana Isabel Sanclaudio-Luhía, José Antonio Castro-Castro, Guillermo Vázquez-González, Isabel Martín-Herranz
Two out of six strategic axes of pharmaceutical care in our hospital are quality and safety of care, and the incorporation of information technologies. Based on this, an information system was developed in the outpatient setting for pharmaceutical care of patients with chronic hepatitis C, SiMON-VC, which would improve the quality and safety of their pharmacotherapy. The objective of this paper is to describe requirements, structure and features of Si- MON-VC. Requirements demanded were that the information system would enter automatically all critical data from electronic clinical records at each of the visits to the Outpatient Pharmacy Unit, allowing the generation of events and alerts, documenting the pharmaceutical care provided, and allowing the use of data for research purposes...
January 1, 2017: Farmacia Hospitalaria
https://www.readbyqxmd.com/read/28027194/big-data-management-in-us-hospitals-benefits-and-barriers
#9
Chad Schaeffer, Lawrence Booton, Jamey Halleck, Jana Studeny, Alberto Coustasse
Big data has been considered as an effective tool for reducing health care costs by eliminating adverse events and reducing readmissions to hospitals. The purposes of this study were to examine the emergence of big data in the US health care industry, to evaluate a hospital's ability to effectively use complex information, and to predict the potential benefits that hospitals might realize if they are successful in using big data. The findings of the research suggest that there were a number of benefits expected by hospitals when using big data analytics, including cost savings and business intelligence...
January 2017: Health Care Manager
https://www.readbyqxmd.com/read/27999398/sci-fin-visual-mining-spatial-and-temporal-behavior-features-from-social-media
#10
Jiansu Pu, Zhiyao Teng, Rui Gong, Changjiang Wen, Yang Xu
Check-in records are usually available in social services, which offer us the opportunity to capture and analyze users' spatial and temporal behaviors. Mining such behavior features is essential to social analysis and business intelligence. However, the complexity and incompleteness of check-in records bring challenges to achieve such a task. Different from the previous work on social behavior analysis, in this paper, we present a visual analytics system, Social Check-in Fingerprinting (Sci-Fin), to facilitate the analysis and visualization of social check-in data...
December 20, 2016: Sensors
https://www.readbyqxmd.com/read/27972704/business-intelligence-for-detecting-possible-surgical-site-infections-from-gallbladder-surgery-chol-and-colon-surgery-colo-in-ramathibodi-hospital-thailand
#11
P Piebpien, S Vajiratanakorn, S Somsakul, T Muntajit, S Sukkra, S Leelaudomlipi, P Samankatiwat, K Malathum
No abstract text is available yet for this article.
November 2016: Value in Health: the Journal of the International Society for Pharmacoeconomics and Outcomes Research
https://www.readbyqxmd.com/read/27965547/regular-cycles-of-forward-and-backward-signal-propagation-in-prefrontal-cortex-and-in-consciousness
#12
Paul J Werbos, Joshua J J Davis
This paper addresses two fundamental questions: (1) Is it possible to develop mathematical neural network models which can explain and replicate the way in which higher-order capabilities like intelligence, consciousness, optimization, and prediction emerge from the process of learning (Werbos, 1994, 2016a; National Science Foundation, 2008)? and (2) How can we use and test such models in a practical way, to track, to analyze and to model high-frequency (≥ 500 hz) many-channel data from recording the brain, just as econometrics sometimes uses models grounded in the theory of efficient markets to track real-world time-series data (Werbos, 1990)? This paper first reviews some of the prior work addressing question (1), and then reports new work performed in MATLAB analyzing spike-sorted and burst-sorted data on the prefrontal cortex from the Buzsaki lab (Fujisawa et al...
2016: Frontiers in Systems Neuroscience
https://www.readbyqxmd.com/read/27896712/applications-of-accelerators-and-radiation-sources-in-the-field-of-space-research-and-industry
#13
REVIEW
Luigi Campajola, Francesco Di Capua
Beyond their important economic role in commercial communications, satellites in general are critical infrastructure because of the services they provide. In addition to satellites providing information which facilitates a better understanding of the space environment and improved performance of physics experiments, satellite observations are also used to actively monitor weather, geological processes, agricultural development and the evolution of natural and man-made hazards. Defence agencies depend on satellite services for communication in remote locations, as well as for reconnaissance and intelligence...
December 2016: Topics in Current Chemistry (Journal)
https://www.readbyqxmd.com/read/27849687/7-applying-business-intelligence-software-to-sedation-can-identify-novel-quality-improvement-targets
#14
Barbara-Jo Achuff, Parag Jain, Brady Moffett, Paul Checchia, Eric Williams
No abstract text is available yet for this article.
December 2016: Critical Care Medicine
https://www.readbyqxmd.com/read/27814734/esip-sa%C3%A3%C2%BAde-mozambique-s-novel-approach-for-a-sustainable-human-resources-for-health-information-system
#15
Keith P Waters, Moises Ernesto Mazivila, Martinho Dgedge, Edgar Necochea, Devan Manharlal, Alexandra Zuber, Beatriz de Faria Leão, Debora Bossemeyer, Alfredo E Vergara
INTRODUCTION: Over the past decade, governments and international partners have responded to calls for health workforce data with ambitious investments in human resources information systems (HRIS). However, documentation of country experiences in the use of HRIS to improve strategic planning and management has been lacking. The purpose of this case presentation is to document for the first time Mozambique's novel approach to HRIS, sharing key success factors and contributing to the scant global knowledge base on HRIS...
November 5, 2016: Human Resources for Health
https://www.readbyqxmd.com/read/27782052/a-review-on-internet-of-things-for-defense-and-public-safety
#16
REVIEW
Paula Fraga-Lamas, Tiago M Fernández-Caramés, Manuel Suárez-Albela, Luis Castedo, Miguel González-López
The Internet of Things (IoT) is undeniably transforming the way that organizations communicate and organize everyday businesses and industrial procedures. Its adoption has proven well suited for sectors that manage a large number of assets and coordinate complex and distributed processes. This survey analyzes the great potential for applying IoT technologies (i.e., data-driven applications or embedded automation and intelligent adaptive systems) to revolutionize modern warfare and provide benefits similar to those in industry...
October 5, 2016: Sensors
https://www.readbyqxmd.com/read/27752295/observations-illustrating-the-use-of-health-informatics-to-link-public-health-immunization-registries-and-pharmacies-to-increase-adult-immunization-rates-and-improve-population-health-outcomes
#17
Michael Popovich, Brandy Altstadter, Lara Hargraves Popovich
The Health Information Technology for Economic and Clinical Health (HITECH) Act encourages health information exchange between clinical care and public health through Meaningful Use measures. Meaningful Use specifically identifies objectives to support a number of public health programs including immunizations, cancer registries, syndromic surveillance, and disease case reports. The objective is to improve public and population health. Stage 2 of Meaningful Use focused on compliance to sending of information to public health...
2016: Online Journal of Public Health Informatics
https://www.readbyqxmd.com/read/27687748/use-of-twitter-polls-to-determine-public-opinion-regarding-content-presented-at-a-major-national-specialty-society-meeting
#18
Andrew B Rosenkrantz, C Matthew Hawkins
PURPOSE: The aim of this study was to evaluate the feasibility of using Twitter polls to assess public opinion regarding session content at a national specialty society meeting. METHODS: Twitter polls allow users to embed multiple-choice questions within tweets and automatically aggregate responses. Two radiologists attending the 2016 annual meeting of the ACR posted a Twitter poll containing the hashtag #ACR2016 during 10 meeting sessions addressing socioeconomics/advocacy, patient experience, and social media/informatics (20 polls total)...
February 2017: Journal of the American College of Radiology: JACR
https://www.readbyqxmd.com/read/27683857/developing-leadership-competencies-among-medical-trainees-five-year-experience-at-the-cleveland-clinic-with-a-chief-residents-training-course
#19
Carol F Farver, Susan Smalling, James K Stoller
OBJECTIVES: Challenges in healthcare demand great leadership. In response, leadership training programs have been developed within academic medical centers, business schools, and healthcare organizations; however, we are unaware of any well-developed programs for physicians-in-training. METHODS: To address this gap, we developed a two-day leadership development course for chief residents (CRs) at the Cleveland Clinic, framed around the concept of emotional intelligence...
October 2016: Australasian Psychiatry: Bulletin of Royal Australian and New Zealand College of Psychiatrists
https://www.readbyqxmd.com/read/27645323/healthcare-hashtag-index-development-identifying-global-impact-in-social-media
#20
Luís Pinho-Costa, Kenneth Yakubu, Kyle Hoedebecke, Liliana Laranjo, Christofer Patrick Reichel, Maria Del C Colon-Gonzalez, Ana Luísa Neves, Hassna Errami
PURPOSE: Create an index of global reach for healthcare hashtags and tweeters therein, filterable by topic of interest. MATERIALS AND METHODS: For this proof-of-concept study we focused on the field of Primary Care and Family Medicine. Six hashtags were selected based on their importance, from the ones included in the 'Healthcare Hashtag Project'. Hashtag Global Reach (HGR) was calculated using the additive aggregation of five weighted, normalized indicator variables: number of impressions, tweets, tweeters, user locations, and user languages...
September 16, 2016: Journal of Biomedical Informatics
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