...A BIG DATA APPROACH FOR HEALTH CARE APPLICATION DEVELOPMENT G.Sravya [1], A.Shalini [2], K.Raghava Rao [3] @ B.Tech Students, dept. of Electronics and Computers. K L University, Guntur, AP. *.Professor, dept. of Electronics and Computers. K L University, Guntur, AP sravyagunturi93@gmail.com , shaliniaramandla@gmail.com, raghavarao@kluniversity.in ABSTRACT: Big data is playing a vital role in present scenario. big data has become the buzzword in every field of research. big data is collection of many sets of data which contains large amount of information and little ambiguity where other traditional technologies are lagging and cannot compete with it .big data helps to manipulate and update the large amount of data which is used by every organization in any fields The main aim of this paper is to address the impact of these big data issues on health care application development but health care industry is lagging behind other sectors in using big data .although it is in early stages in health care it provides the researches to accesses what type of treatment should be taken that are more preferable for particular diseases, type of drugs required and patients records I. Introduction Health care is one of the most prominent problems faced by the society now a day. Every day a new disease is take birth which leads to illness of millions of people. Every disease has its own and unique medicine for its cure. Maintaining all the data related to...
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...impact on the U. S health care system. The focus will be on Big Data, Re-admissions reduction program, and Tele Health services which have brought significant reforms in the U.S health care system. Big Data in Hospital industry: Large amount of data is produced in the healthcare industry and most of the data is stored in hard copy form. The current trend is towards the digitization of these enormous troves of data. Report says that the data from the U.S. healthcare system alone has reached,150 exabytes in the year 2011. Kaiser Permanente, the California-based health care network which has more than 9 million members is believed to have between 26 and 44 petabytes of potentially rich data from electronic health records, including images and annotations. By definition, big data in healthcare refers to electronic health data sets are so large and complex that they neither possible to manage with traditional software and/or hardware nor can they be easily managed with traditional or common data management tools and methods. Now, most of the patient data is compiled electronically because it is easier for doctors to retrieve patient details. The clinical data includes physician written notes, medical imaging, patient data in electronic patient records (EPRs), machine generated/sensor data, laboratory, pharmacy, insurance and other administrative data. The new technological...
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...Center for US Health System Reform Business Technology Office The ‘big data’ revolution in healthcare Accelerating value and innovation January 2013 Peter Groves Basel Kayyali David Knott Steve Van Kuiken Contents The ‘big data’revolution in healthcare: Accelerating value and innovation 1 Introduction1 Reaching the tipping point: A new view of big data in the healthcare industry 2 Impact of big data on the healthcare system 6 Big data as a source of innovation in healthcare 10 How to sustain the momentum 13 Getting started: Thoughts for senior leaders 17 1 The ‘big data’ revolution in healthcare: Accelerating value and innovation Introduction An era of open information in healthcare is now under way. We have already experienced a decade of progress in digitizing medical records, as pharmaceutical companies and other organizations aggregate years of research and development data in electronic databases. The federal government and other public stakeholders have also accelerated the move toward transparency by making decades of stored data usable, searchable, and actionable by the healthcare sector as a whole. Together, these increases in data liquidity have brought the industry to the tipping point. Healthcare stakeholders now have access to promising new threads of knowledge. This information is a form of “big data,” so called not only for its sheer volume but for its complexity, diversity, and timeliness...
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...VI. COMPARATIVE STUDY ON BIG DATA AND TRADITIONAL DATABASE IN HEALTHCARE Features Traditional database Big data Data architecture It uses centralized database architecture in which large and complex problems are solved by a single computer system. It is based on distributed database architecture where a large block of data is solved by dividing it into several smaller sizes. Cost To manage large amount of data traditional database requires complex and expensive hardware and software devices. Whereas in big data as the massive amount of data is segregated between various systems, the amount of data decreases. So use of big data is quite simple and less cost. Performance Performance is low Performance is high Computational power Computational...
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...Introduction 2 Assumptions 3 Data Availability 3 Overnight processing window 3 Business sponsor 4 Source system knowledge 4 Significance 5 Data warehouse 6 ETL: (Extract, Transform, Load) 6 Data Mining 6 Data Mining Techniques 7 Data Warehousing 8 Data Mining 8 Technology in Health Care 9 Diseases Analysis 9 Treatment strategies 9 Healthcare Resource Management 10 Customer Relationship Management 10 Recommended Solution 11 Corporate Solution 11 Technological Solution 11 Justification and Conclusion 12 References 14 Health Authority Data (Appendix A) 16 Data Warehousing Implementation (Appendix B) 19 Data Mining Implementation (Appendix B) 22 Technological Scenarios in Health Authorities (Appendix C) 26 Technology Tools 27 Data Management Technology Introduction The amount of information offered to us is literally astonishing, and the worthiness of data as an organizational asset is widely acknowledged. Nonetheless the failure to manage this enormous amount of data, and to swiftly acquire the information that is relevant to any particular question, as the volume of information rises, demonstrates to be a distraction and a liability, rather than an asset. This paradox energies the need for increasingly powerful and flexible data management systems. To achieve efficiency and a great level of productivity out of large and complex datasets, operators need have tools that streamline the tasks of managing the data and extracting valuable...
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...McKinsey Global Institute June 2011 Big data: The next frontier for innovation, competition, and productivity The McKinsey Global Institute The McKinsey Global Institute (MGI), established in 1990, is McKinsey & Company’s business and economics research arm. MGI’s mission is to help leaders in the commercial, public, and social sectors develop a deeper understanding of the evolution of the global economy and to provide a fact base that contributes to decision making on critical management and policy issues. MGI research combines two disciplines: economics and management. Economists often have limited access to the practical problems facing senior managers, while senior managers often lack the time and incentive to look beyond their own industry to the larger issues of the global economy. By integrating these perspectives, MGI is able to gain insights into the microeconomic underpinnings of the long-term macroeconomic trends affecting business strategy and policy making. For nearly two decades, MGI has utilized this “micro-to-macro” approach in research covering more than 20 countries and 30 industry sectors. MGI’s current research agenda focuses on three broad areas: productivity, competitiveness, and growth; the evolution of global financial markets; and the economic impact of technology. Recent research has examined a program of reform to bolster growth and renewal in Europe and the United States through accelerated productivity growth; Africa’s economic potential;...
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...McKinsey Global Institute June 2011 Big data: The next frontier for innovation, competition, and productivity The McKinsey Global Institute The McKinsey Global Institute (MGI), established in 1990, is McKinsey & Company’s business and economics research arm. MGI’s mission is to help leaders in the commercial, public, and social sectors develop a deeper understanding of the evolution of the global economy and to provide a fact base that contributes to decision making on critical management and policy issues. MGI research combines two disciplines: economics and management. Economists often have limited access to the practical problems facing senior managers, while senior managers often lack the time and incentive to look beyond their own industry to the larger issues of the global economy. By integrating these perspectives, MGI is able to gain insights into the microeconomic underpinnings of the long-term macroeconomic trends affecting business strategy and policy making. For nearly two decades, MGI has utilized this “micro-to-macro” approach in research covering more than 20 countries and 30 industry sectors. MGI’s current research agenda focuses on three broad areas: productivity, competitiveness, and growth; the evolution of global financial markets; and the economic impact of technology. Recent research has examined a program of reform to bolster growth and renewal in Europe and the United States through accelerated productivity growth; Africa’s economic potential;...
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...Athens Information Technology Master in Management of Business, Innovation & Technology (MBIT) Management Information Systems E-Health in Greece compared to EU/US and the impact of Big Data in healthcare Prepared by: Athina Klaoudatou Christos Panagiotou Abstract The aim of this report is to describe the eHealth market. The focus is the Greek business landscape, current trends in the market, industry growth, drivers, and restraints, the technologies and the players in various aspects of the field. Data are presented about the evolution of the market and there are descriptions of what Greek companies offer. Moreover implementation measures are presented, along with progress achieved with respect to national and regional eHealth solutions in EU and EEA Member States. Table of Contents 1. The National Health System 1 1.1. Organizational structure 1 1.2. Some facts & figures 1 2. What is eHealth, definitions, areas of application, benefits 5 2.1. What is eHealth 5 2.2. Forms of eHealth 5 2.3. Benefits of eHealth 6 3. eHealth framework in European Union countries 7 3.1. eHealth Action Plan 2012 - 2020 7 3.2. eHealth in the European Countries 8 4. Application of eHealth practices 10 4.1. Electronic Health records (EHR) 10 4.1.1. Examples of current EHR use 10 4.1.2. Electronic Health Record in Greece 12 4.1.3. Summing up 14 4.2. Interoperability 15 4.2.1. Defining Interoperability in Healthcare Systems 15 4.2...
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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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...There's something big happening in the healthcare industry, and it seems there is a silver lining to this cloud. Studies say that security, regulatory and privacy concerns might get in the way of cloud computing in the healthcare industry, although this sector is set to grow in the medium term. Cloud computing in healthcare is projected to grow to US$ 5.4 billion by 2017. Modernization in the healthcare system is going beyond Electronic Healthcare Records (EHR). According to research firm MarketsandMarkets, the use of cloud computing in healthcare will span both clinical and non-clinical applications. Apart from EHR, cloud computing will also apply to other clinical uses, such as physician order entry and software imaging and pharmacy use. Non-clinical uses will likewise benefit, including management apps for patient billing, claims and revenue cycle management. According to MarketsandMarkets, the use of cloud computing in healthcare will be greatly beneficial in sharing EHR data across facilities in different geographic locations. Using cloud applications will ensure that patients get treated on time, regardless of location and facility. According to a 2011 study by KLAS Research, 55 percent of hospital executives interviewed said they stored data on the cloud. This included applications like clinical software and email. 71 percent of healthcare providers already deploy, or are planning to deploy, cloud-technology services. However, there is doubt among healthcare providers...
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...Health Informatics and Healthcare Introduction Health informatics as defined by Shi and Singh 2015, as the application of information science to improve efficiency, accuracy, reliability of healthcare service, and inclusion of healthcare delivery. Healthcare informatics is becoming more complex than any other time in recent memory, the foundation needed to bolster device utilization and interoperability is more expanded, and there is even a more extensive scope of utilization to consider. As the populace ages, there is added pressure to provide patient care choices at home and in the community, implying that medical devices are getting to be a piece of a much bigger ecosystem spreading over the steadily developing continuum. This paper will analyze health informatics and discuss its benefits, trends, current issues, the impact health informatics in healthcare settings, and the role of health managers and the future. An interview will be conducted with a health professional to get their point of view of how health informatics have impacted their workplace, with further discussion of human resources, careers and the future. History The U.S. National Library of Medicine defines health informatics as a collaborative effort of designing, developing, adopting, and applying IT-based ideas in healthcare services delivery, management and planning (Kramer, 2012). In 1949, Gustav Wager of Germany founded the first professional organization for...
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...field of health information technology for nursing is rapidly growing. Advancements in electronic documentation for health care, such as the electronic medical record (EMR), can be an overwhelming addition to the workload of nurses. There is resistance by nurses in use of electronic documentation (Sharifian, Askarian, Nematolahi, & Farhadi, 2014). It is this writer’s opinion that nurses are under informed regarding the rationale for changes taking place in documentation and the implications. The purpose of this paper is to provide nurses with the basics of the Federal regulations outlined in the Health Insurance Portability and Accountability Act of 1996 (HIPAA) and the Health Information Technology for Economic and Clinical Health Act of 2009 (HITECH) that require electronic documentation to be compliant and receive reimbursement. It also reviews how data are collected to determine the reimbursement for care (meaningful-use) and its role in evidence-based practice (Wright, Feblowitz, Samal, McCoy, & Sittig, 2014). Included is a review of the negative impact resistance generates on health organization reimbursement and the relevance it has on nurse staffing, jobs, wages, and satisfaction, along with, evidence reinforcing the training and support of nurses as a means to promote proper use of electronic documentation and increase user satisfaction. Federal Laws and Requirements for Compliance Health care agencies in the United States are implementing health care information...
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...Data quality is a key characteristic that determines the reliability of data for making decisions. We know high quality data is complete, accurate, available, and timely. Business leaders recognize the value of big data and are eager to analyze it to obtain insights and improve their business outcomes. Organizations need to lay a strong foundation for managing data quality with the best quality tools and practices that can be scaled and leveraged across their enterprises. For example, IBM offers “Infosphere Information Server” for data quality which enables data quality that is sustainable overtime because of its ease of use and flexibility. The features of the program increase the awareness of data quality across an organization, raising the priority and ease of maintaining data quality. IBM supports that “Infosphere Information Server” provides a resilient, reliable, high-performance platform for mission-critical data and is also the foundation for successful data quality and governance initiatives. Another example, department of defense (aka military operations), intelligence anaylsis, and logistics are known to have big data applications with data growing at enormous rates and have a need for scalable software solutions to sustain future operations. A couple of examples where the department of defense uses big data are the following: electronic health records and flight data management. For electronic health records workloads can include care delivery, force readiness...
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...University of Phoenix Material A Research Plan Part I – Research Problem Think about something in psychology that you would be interesting in studying. You can select a topic from what you’ll be studying in this course or another topic that seems intriguing to you. Respond to the following in 50 to 75 words: |Identify your research problem and describe it. What about this topic interests you? | |Healthcare is occupied, directly otherwise indirectly, with the condition of health services to personalities. These services can happen in | |a variety of effort settings, as well as hospitals, hospitals, dental place of works, out-patient operation centers, birthing middles, | |emergency checkup care, house healthcare, as well as nursing homes. We choose this topic because health staff, big healthcare facilities | |uses a wide variety of deals that have health as well as safety hazards related with them. These comprise mechanical preservation, medical | |tools maintenance, food service, building as well as grounds maintenance, and administrative staff. (What is healthcare?, 2014) | | | Part II – The Scientific Method Consider the scientific method and complete the following table explaining each step of the scientific method in your own words...
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...De-Identified Personal Health Care System Using Hadoop The use of medical Big Data is increasingly popular in health care services and clinical research. The biggest challenges in health care centers are the huge amount of data flows into the systems daily. Crunching this BigData and de-identifying it in a traditional data mining tools had problems. Therefore to provide solution to the de-identifying personal health information, Map Reduce application uses jar files which contain a combination of MR code and PIG queries. This application also uses advanced mechanism of using UDF (User Data File) which is used to protect the health care dataset. Responsibilities: Moved all personal health care data from database to HDFS for further processing. Developed the Sqoop scripts in order to make the interaction between Hive and MySQL Database Wrote MapReduce code for DE-Identifying data. Loaded the processed results into Hive tables. Generated test cases using MRunit. Best-Buy – Rehosting of Web Intelligence project The purpose of the project is to store terabytes of log information generated by the ecommerce website and extract meaning information out of it. The solution is based on the open source Big Data s/w Hadoop .The data will be stored in Hadoop file system and processed using PIG scripts. Which intern includes getting the raw html data from the websites, Process the html to obtain product and pricing information, Extract various reports out of the product pricing...
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