...Geographic Information Systems (GIS) in Healthcare According to the information found on the book and in the text provided for the assignment GSI combines layers of geographically referenced information about the Earth surface. GSI does this by collecting data, which is stored in a database that is then analyzed and used to create a visual representation of data in the form of a map. This process can be used in a lot of different fields of profession from catching criminals to medical and emergency management. By examining geographical healthcare data, hospital and public health officials are able to plan strategically to increase accessibility to services, prevent future outbreaks, and to make finer decisions for patients. Every patient in healthcare needs an examination, diagnosis, and treatment. Clinic and hospital officials and practitioners need to be aware and understanding of their nearby communities because that is where most of their patients are. GSI can help decide where to place new facilities, where and when to intervene, how to improve the quality of care as well as increasing accessibility of services, and most importantly what types of services to emphasize., this is can be labeled as interactive mapping and strategic planning. GSI is a huge asset to the public health and nursing management communities. Through the use of this process, a nurse case manager can locate the surrounding community resources that are in proximity to their patients. Some of these...
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...Original Contributions Data Mining Applications in Healthcare Hian Chye Koh and Gerald Tan A B S T R A C T Data mining has been used intensively and extensively by many organizations. In healthcare, data mining is becoming increasingly popular, if not increasingly essential. Data mining applications can greatly benefit all parties involved in the healthcare industry. For example, data mining can help healthcare insurers detect fraud and abuse, healthcare organizations make customer relationship management decisions, physicians identify effective treatments and best practices, and patients receive better and more affordable healthcare services. The huge amounts of data generated by healthcare transactions are too complex and voluminous to be processed and analyzed by traditional methods. Data mining provides the methodology and technology to transform these mounds of data into useful information for decision making. This article explores data mining applications in healthcare. In particular, it discusses data mining and its applications within healthcare in major areas such as the evaluation of treatment effectiveness, management of healthcare, customer relationship management, and the detection of fraud and abuse. It also gives an illustrative example of a healthcare data mining application involving the identification of risk factors associated with the onset of diabetes. Finally, the article highlights the limitations of data mining and discusses some future directions....
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...AND ANALYTICS: FROM BIG DATA TO BIG IMPACT Hsinchun Chen Eller College of Management, University of Arizona, Tucson, AZ 85721 U.S.A. {hchen@eller.arizona.edu} Roger H. L. Chiang Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, OH 45221-0211 U.S.A. {chianghl@ucmail.uc.edu} Veda C. Storey J. Mack Robinson College of Business, Georgia State University, Atlanta, GA 30302-4015 U.S.A. {vstorey@gsu.edu} Business intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations. This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A. BI&A 1.0, BI&A 2.0, and BI&A 3.0 are defined and described in terms of their key characteristics and capabilities. Current research in BI&A is analyzed and challenges and opportunities associated with BI&A research and education are identified. We also report a bibliometric study of critical BI&A publications, researchers, and research topics based on more than a decade of related academic and industry publications. Finally, the six articles that comprise this special issue are introduced and characterized in terms of the proposed BI&A research framework. Keywords: Business intelligence and analytics, big data analytics, Web 2.0 Introduction...
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...ANALYTICS: FROM BIG DATA TO BIG IMPACT Hsinchun Chen Eller College of Management, University of Arizona, Tucson, AZ 85721 U.S.A. {hchen@eller.arizona.edu} Roger H. L. Chiang Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, OH 45221-0211 U.S.A. {chianghl@ucmail.uc.edu} Veda C. Storey J. Mack Robinson College of Business, Georgia State University, Atlanta, GA 30302-4015 U.S.A. {vstorey@gsu.edu} Business intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations. This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A. BI&A 1.0, BI&A 2.0, and BI&A 3.0 are defined and described in terms of their key characteristics and capabilities. Current research in BI&A is analyzed and challenges and opportunities associated with BI&A research and education are identified. We also report a bibliometric study of critical BI&A publications, researchers, and research topics based on more than a decade of related academic and industry publications. Finally, the six articles that comprise this special issue are introduced and characterized in terms of the proposed BI&A research framework. Keywords: Business intelligence and analytics, big data analytics...
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...With Electronic Medical Records (EMR) solutions you can enhance automation, improve the availability of patient information, increase collaboration, and simplify integration of health care automation tools. EMR: Many hospitals have hundreds of different information systems, few of which work together. In addition, a large percent of healthcare transactions are paper-based. These challenges make it difficult for healthcare professionals to offer efficient services. Physicians, nurses, and other healthcare staff need to be able to access and share information smoothly and quickly, to enable them to work more efficiently and make better decisions. Microsoft and our partners can help you develop electronic medical records (EMR) systems that help integrate data from a wide range of systems. These solutions can enhance automation, the availability of patient information, collaboration between workers, and simpler integration of healthcare automation tools. Through these solutions, physicians and other staff can make full use of data quickly and easily. Guideline compliance and healthcare outcomes and performance can also be more easily monitored and improved. EMR solutions With EMR solutions from our partners, you can: Deliver higher quality of care with real-time information and collaboration between clinicians. This can reduce readmission rates and improve chronic care management and patient satisfaction. Save money by deploying widely-used commercial off-the-shelf...
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...decision-making areas and the techniques used to make them. Advantages and benefits are then discussed and one major problem is described in detail. Computer hacking is becoming more popular as the future comes closer and it is a larger problem than most think outside of the business world. The conclusion offers an insight into the future of BI and identifies the problem of hacking as its major threat. 1. Introduction Business intelligence (BI) has become one of the most successful and popular ways that an organization uses to answer specific questions or problems over the past 25 years and is vital to success. BI is a term that covers a multitude of different concepts, theories, and methods that are related to data that has been kept in software designed for this specific purpose. The...
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...a. How would HIT contribute to the strategy laid out in the Health Partners reading? One example that I noticed while reading this chapter was the use of the electronic medical record. Health Partners moved beyond the data entry aspects of the EMR and made a wizard. This wizard “helped guide clinicians in their decision making about what treatments might be best for patients.” The wizard is a perfect way to standardize and customized care based on individual’s needs. With the EMR, pathways can be established to fit the workflows you want to establish, instead of performing the current workflows in digital form. This is currently what I see in our EMR. Our EMR was set up just like our paper forms. Easy for nurses, however is retitled with extra steps, redundant information, and not way to interface into a decision support to guide us to position our patients any different, be on the lookout for potential needs while our patient is under anesthesia, or how to promote standardization among our patient population-surgical patients. The other example I see that will be a great improvement in the health care system is Employee Health. The idea of self-assessment in the work place to improve the health of the work force could be integrated into a yearly bonus or break on their health care insurance. What a concept, those that log self-assessments, see a primary care doctor, and then follow up pays less for insurance. The HIT that could be involved in this aspect would be adding...
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...Decisions in Paradise Paradise MGT/350 September 2, 2010 Professor Lois Blyden The island of Kava is in need of detrimental assistance and aid due to their many disastrous situations. There have been a slew of hurricanes, tornadoes, and floods in this area of the South Pacific where the services of my company, HEB, are needed. I am in the department of Strategic Planning and Development. My job title is Disaster Coordinator at HEB, where our mission is “We Promise to Keep Our Promises” (www.hebgrocery.com, 2010). We have a bold promise in that each and every person counts. We want to contribute our vast variety of grocery store goods to the island of Kava. We know our services will make a difference along with the aid of local governmental services and churches, and other businesses. Alex, HEB’s director of strategic planning, has been great with helping me out in putting together a plan to best assist the people of Kava. Since we are a multi-facetted company, we have so much to offer. Alex and I have decided to start off with placing one of our HEB Superstores in the grand central area of Kava. This store offers everything the people in Kava will need including disaster items, food, water, clothing, medicines, etc. The majority, over fifty percent, of the population of Kava are kids under the age of fifteen. We at HEB are dedicated to the future and betterment of our communities. Our children are the future of our communities. This is one main reason we offer...
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...Italy Department of Industrial Engineering, Business Administration and Statistics, ETSII, Universidad Politcnica de Madrid (UPM), Spain e a r t i c l e i n f o a b s t r a c t Article history: Received 6 November 2014 Received in revised form 5 March 2015 Accepted 18 March 2015 Available online 27 March 2015 In today's manufacturing scenario, rising energy prices, increasing ecological awareness, and changing consumer behaviors are driving decision-makers to prioritize green manufacturing. The Internet of Things paradigm promises to increase the visibility and awareness of energy consumption, thanks to smart sensors and smart meters at the machine and production line level. Consequently, real-time energy consumption data from manufacturing processes can be collected...
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...outcomes. Methods These researchers studied four large health departments, two in California and two in Florida, interviewing key informants from all levels of the organization. They identified five critical factors that enable health departments to use GIS methods to inform service planning: Priority setting-some type of formalized strategic planning activity including traditional health assessments, community-driven planning processes and, in some cases, political mandates. Planning with a geographic focus—identify a purpose for mapping and put program planning and service provision questions into a geographic context. Access to geo-enabled data-availability of population health data and health department service and program data. Resources and technical capacity-resources needed include specialized but widely available GIS software, data management or statistical software, and staff proficient in using the software. Responsive organizational structure-capacity to use information generated through GIS to make changes to services and programs then reevaluate using strategic planning. GIS methodologies provide local health departments with a way to inform decision-making and better align their offerings with community needs and health outcomes....
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...reviewed. Financial reporting in a medical office or a healthcare organization relies on financial data to be close to real time as they can get it. The financial reporting has advantages such as analysis, visualization, and assistance in decision-making ("Financial Reporting", 2009). Chief financial officers use the financial reporting to help identify the profits and the cost of the healthcare organization. Financial reporting will lead the financial personnel to quantified, data-driven choices which will benefit them with accurate planning, forecasting, and budgeting ("Financial Reporting", 2009). Financial reporting can aid in to reduce a cost, profitability, predict and respond to changes in the market ("Financial Reporting", 2009). Ethical standards in a healthcare organization should be guided by integrity, serves as a role model, and support a culture that provides high-quality, cost-effectiveness health care which helps the ethical behavior and practices of individuals throughout the organization ("Creating An Ethical Culture Within The Healthcare Organization", 1992-2011). It does not matter if the person is a gift shop manager or a CEO of a four star organization ethics should be the central mission and the individual should take the responsibilities of their own actions and seek different ways to integrate ethical practices and display it in the organizations culture ("Creating An Ethical Culture Within The Healthcare Organization", 1992-2011). Four Elements of Financial...
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...field it touches. ” —The Economist, in a February 10, 2011 leader[18] A model (left) was digitally acquired by using a 3D scanner, the scanned data processed using MeshLab, and the resulting 3D model used by a rapid prototyping machine to create a resin replica (right) An example of 3D printed limited edition jewellery. This necklace is made of glassfiber-filled dyed nylon. It has rotating linkages that were produced in the same manufacturing step as the other parts. Photography: Atelier Ted Noten. Additive manufacturing's earliest applications have been on the toolroom end of the manufacturing spectrum. For example, rapid prototyping was one of the earliest additive variants, and its mission was to reduce the lead time and cost of developing prototypes of new parts and devices, which was earlier only done with subtractive toolroom methods (typically slowly and expensively).[19] However, as the years go by and technology continually advances and disseminates into the business world, additive methods are moving ever further into the production end of manufacturing—sometimes even in ways that the pioneers of the techniques didn't foresee.[19] Parts that formerly were the sole province of subtractive methods can now in some cases be made more profitably via additive ones. Standard applications include design visualization, prototyping/CAD, metal casting,...
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...the need to collect and analyze data? Organization | Drivers for Data Collection and Analysis | Amazon.com | * Customer information * Website personalization * Supply chain management * Employee training and incentivization * Email/newsletter personalization * Website traffic patterns to improve customer experience * Demographic information for marketing * Information about supplier and for supplier about their products * Error rates and how to fix errors * Tracking new and popular items that amazon might want to stock * Warehouse data and error rates * Shipping data, time it takes to complete orders * Tracking app orders and glitches * Improving relationships with suppliers | Wal-Mart | * Supply chain management for internal and external (supplier) use * Shelf stocking information, were shelves stocked in time? * Sales data information to improve shopping experience * Forecasting demand for products * Competitor pricing information * Optimizing factory production for suppliers * Error rates * Time it takes to complete and ship online orders * Employee information such as payroll * New product information and forecasting * Employee training * Demographic information for marketing * Website data for optimization * Tracking app purchases and orders and glitches * Improving relationships with suppliers | Brose | * Raw material procurement and forecasting * Manufacturing data and error rates * Making sure...
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...OIM 310 Intro to Management Science - The most frequently used methods in modeling and analyzing business and economic problems. The process of abstracting and model building, and the role of various types of models in description and decision making. OIM 320 Quality Management - Quality control concepts including: fundamental computer and statistical concepts: Statistical Process Control (SPC) using control charts; methods for quality improvement; acceptance sampling; industrial experimentation and reliability. OIM 321 Business Process Simulation - Computer simulation presented for carrying out trial-and-error experiments on computer approximations of real, management systems. The goal is to 1) validate a new idea quickly, 2) diagnose potential product design problems, 3) optimize performance of complex systems, and 4) learn about something complex. The Arena environment, based on the SIMAN language, used to build models and video game-like animations. Prerequisites: (FINOPMGT 347 or OIM 301) and (FINOPMGT 353 or OIM 310) OIM 322 Business Forecasting - Introduction to the uses, limitations, and shortcomings of various short-term and long-term forecasting techniques. Problems selected from accounting, finance, management and marketing. Prerequisite: upper-level Isenberg School of Management standing. OIM 410 Business Process Optimization OIM 412 Supply Chain Management - Integrated supply chain constitutes a core firm competency, spanning most business functions...
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...Business AnAlytics And intelligence Course Starting: 29 June 2014 Application Deadline: Early Decision 28 February 2014 Regular Decision 15 April 2014 (Batch 5) (Classes conducted on-campus as well as off-campus) Certificate Programme on Business Analytics and Intelligence BATCH 5 in god We trust, All Others Must Bring data - W edwards deming he theory of bounded rationality proposed by nobel laureate Herbert Simon is evermore significant today with increasing complexity of the business problems; limited ability of human mind to analyze alternative solutions and the limited time available for decision making. introduction of enterprise resource planning (eRP) systems has ensured availability of data in many organizations; however, traditional eRP systems lacked data analysis capabilities that can assist the management in decision making. Business Analytics is a set of techniques and processes that can be used to analyse data to improve business performance through fact-based decision making. Business Analytics is the subset of Business intelligence, which creates capabilities for companies to compete in the market effectively. Business Analytics is likely to become one of the main functional areas in most companies. Analytics companies develop the ability to support their decisions through analytic reasoning using a variety of statistical and mathematical techniques. thomas devonport in his book titled, “competing on analytics: the new science of winning”, claims...
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