Examining Big Data in Medicine: Applications, Challenges and Benefits (original) (raw)
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Big data analytics in the health sector: challenges and potentials
Management:Journal of Sustainable Business and Management Solutions in Emerging Economies, 2019
The introduction of the Big Data concept in the healthcare sector points to a major challenge and potential. Motivation: Our goal is to indicate the importance of analyzing and processing large amounts of data that go beyond the typical ways of storing and processing information. Тhе data have their own characteristics: volume, velocity and variety. There are different structures. Analysis of these data is possible with the Big Data concept. Its importance is most evident in the health sector, because the preservation of the health status of the population depends on adequate data analysis. Idea: The idea of the paper is that big health data analytics contributes to a better quality provision of health services. The process is more efficient and effective. Data: Health analytics suggests that more and more resources are being utilized globally. In order to achieve improvements, health analytics and Big data concepts play a vital role in overcoming the obstacles, working more efficiently and aiming at providing adequate medical care. Tools: The Big data concept will help identify patients with developed chronic diseases. Big data can identify outbreaks of flu or other epidemics in real time. In this way, they are managed by the healthcare system, reducing overall healthcare costs over time, and increasing revenues. Findings: A key policy challenge is to improve the outcomes of the healthcare system, data collection and analysis, security, storage and transfers. Big data are the potential to improve quality of care, improve predictions of diseases, improve the treatment methods, reduce costs. Contribution: This paper points to the challenges and potentials of Big Health Data analytics and formulates good reasons to apply the Big Data concept in healthcare.
A review of big data and medical research
SAGE Open Medicine, 2020
Universally, the volume of data has increased, with the collection rate doubling every 40 months, since the 1980s. “Big data” is a term that was introduced in the 1990s to include data sets too large to be used with common software. Medicine is a major field predicted to increase the use of big data in 2025. Big data in medicine may be used by commercial, academic, government, and public sectors. It includes biologic, biometric, and electronic health data. Examples of biologic data include biobanks; biometric data may have individual wellness data from devices; electronic health data include the medical record; and other data demographics and images. Big data has also contributed to the changes in the research methodology. Changes in the clinical research paradigm has been fueled by large-scale biological data harvesting (biobanks), which is developed, analyzed, and managed by cheaper computing technology (big data), supported by greater flexibility in study design (real-world data)...
Journal of Data Analytics, 2022
Using big data analytics in healthcare has positive as well as life-saving results. Big data refers to the vast amounts of information generated by the digitization of everything that is synthesized and analyzed by specific technologies. Here Big Data uses health services to use specific health data of a population (or a specific individual) and potentially help prevent disease pandemics, treat diseases, reduce costs, and more. In the field of health, big data covers a wide range of information, including physiological, behavioral, molecular, clinical, medical imaging, disease management, medication history, nutrition, or exercise parameters. Big Data Analysis In the field of health, it is a complex process of examining big data to discover information. This information includes hidden patterns, market trends, unknown correlations, and customer preferences. Information analysis can help organizations make informed business and clinical decisions. The medical data-driven industry is the most complex among industries. Not only is this data available from a variety of sources, but it must also comply with government regulations. This process is difficult and delicate and requires some level of security and communication. Due to the importance of this issue, in this article, after introducing the types of data available in the health industry, the characteristics and sources of big data in health are defined and an analytical model for the use of large data in the health industry is presented. This model helps to understand the dimensions, components, and key elements of using big data in the health industry.
Expectations and Pitfalls of Big Data in Biomedicine
Review of Public Administration and Management, 2015
Big Data is one of the trending topics in information management, marketing and also in healthcare. Big Data describes a new generation of technologies and architectures that allow us to extract value from massive data volumes and types by enabling high-velocity capture, discovery and analysis of distributed data. Big Data is characterized by the so-called four V's: volume and complexity of data, velocity of collecting, storing, processing and analyzing data, variety in relation with different types of data (structured, unstructured and semistructured) and veracity or 'data assurance' about data quality, integrity and credibility [1,2] The International Medical Informatics Association (IMIA) working group on "Data Mining and Big Data Analytics" defined Big Data as data whose scale, diversity, and complexity require new architecture, techniques, algorithms, and analytics to manage it and extract value and hidden knowledge from it [3]. Nevertheless, it is essential to consider that several aspects of the concept and its application can vary by domain, depending on what kinds of software tools are available in each case and what size and types of datasets are more common in a particular field, each type of Big data requires particular analysis methods [4].
Big Data Analytics in Healthcare -A Comprehensive Literature Review
International Journal of Innovative Research in Science, Engineering and Technology (IJIRSET), 2020
Big data is gigantic measures of data that can do some incredible things. It has gotten a subject specifically compelling for as long as two decades in view of a high potential that is covered up in it. Different open and private part ventures create, store, and break down huge information to improve the administrations they give. In the social insurance industry, various hotspots for huge information incorporate emergency clinic records, clinical records of patients, aftereffects of clinical assessments, and gadgets that are a piece of the web of things. Biomedical examination additionally creates a critical bit of enormous information pertinent to open medicinal services [4]. This information requires legitimate administration and examination to determine important data. Something else, looking for an answer by breaking down large information rapidly gets tantamount to finding a needle in the pile. There are different difficulties related with each progression of dealing with huge information which must be outperformed by utilizing very good quality registering answers for huge information investigation. That is the reason, to give significant answers for improving general wellbeing, social insurance suppliers are required to be completely outfitted with proper framework to produce and examine huge information methodically. Effective administration, examination, and understanding of large information can change the game by opening new roads for present day human services. That is exactly why different ventures, including the human services industry, are finding a way to change over this potential into better administrations and budgetary focal points. With a protected mix of biomedical and social insurance information, present day human services associations can upset the clinical treatments and customized medication.
Big Data in Healthcare: A to Z
2020
Background & Aim: Today, with the advent of technology, due to the growing data in the field of health care, it is difficult to manage and analyze this type of data known as the Big Data. This analysis has many capabilities to improve the quality of care, reduce errors and reduce costs in care services. Methods: This study is based on search of databases (PubMed, Google Scholar, Science Direct, and Scopus). This investigation has done with the websites and the specialized books with standard key words. After a careful study, 50 sources were in the final article. Results: Since the Big Data Analysis in the field of health has been growing and also considered in recent years, this survey identified the necessity of these analyses, the definition of the Big Data, the benefits, resources, architecture, applications, analysis, platforms, Examples and challenges in the field of health care. Conclusions: Familiarity with the big data concepts in the field of healthcare can help researchers...
Evaluation of Big Data Analytics in Medical Science
International journal of engineering and advanced technology, 2019
In medical science the concept of big data is very important because in the diseases prevention outcome prediction of co-morbidities, mortality and it save the cost of medical treatment it can used. In the evolution of healthcare research and practices the continuously growing field of analytics of big data has play a pivotal role. To analyze, accumulate, assimilate and manage huge volume of structured, disparate and unstructured data that produced by recent system of healthcare, it provide the tools. To inform providers about most effective and efficient treatment pathways and to revamp the health care delivery process the big data of healthcare has the potential. Both insurers and health care providers are incenting by Value-based purchasing programs. To estimate the efficiency and quality of care to find the new ways to leverage health care data defined the insures. During routine health care in data collection current advances in the form of EHR (Electronic Health Records), for clinical application in biological discoveries medical device data have created major opportunities.
The use of Big Data Analytics in healthcare
Journal of Big Data, 2022
The introduction of Big Data Analytics (BDA) in healthcare will allow to use new technologies both in treatment of patients and health management. The paper aims at analyzing the possibilities of using Big Data Analytics in healthcare. The research is based on a critical analysis of the literature, as well as the presentation of selected results of direct research on the use of Big Data Analytics in medical facilities. The direct research was carried out based on research questionnaire and conducted on a sample of 217 medical facilities in Poland. Literature studies have shown that the use of Big Data Analytics can bring many benefits to medical facilities, while direct research has shown that medical facilities in Poland are moving towards data-based healthcare because they use structured and unstructured data, reach for analytics in the administrative, business and clinical area. The research positively confirmed that medical facilities are working on both structural data and unst...
BIG DATA: A REVOLUTION IN THE HEALTH CARE INDUSTRY
Data has become the key to staying competitive in today's global economy. Managing the three Vs of big data like volume, velocity and variety is a big challenge for the organizations. Gone are the days of data collected exclusively in electronic health records and other structured formats. Increasingly, the data is in multimedia format and unstructured. The paper analyses the role of big data in the health care industry whereby most of the hospitals are surviving only because they are paid for the treatment done and, not for the results, so to establish themselves and to be known for their treatments, they have to make the system better by paying for results, rather than paying for procedures and this can be done through big data's. The trend with new models, including accountable care organizations (ACO), is to incent and compensate providers to keep patients healthy. At the same time, patients are increasingly demanding information about their healthcare options so that they understand their choices and can participate in decisions about their care. Patients are an important element in keeping healthcare costs down and improving outcomes. BCBS (Blue Cross and Blue Shield) is taking steps to employ the use of Big Data to help prevent 1-million heart attacks by 2017.The data have been collected from various sources and analyzed. The conclusion of the paper is that big data play a prominent role in providing patients with accurate and up-to-date information and guidance rather than just data that will help them make better decisions and adhere to treatment process. INTRODUCTION The health care-based data are naturally much more complicated and difficult to collect than social-media data. The big data will enable to predict more accurately which treatments will be effective for which patient, and which treatments won't be applicable. A better understanding of the relationship between treatments out comes, and patients will have a huge impact on the practice of medicine in the health care industry. The health care industry is now awash in data in a way that it has never been before: from biological data such as gene expression, next generation DNA sequence data, proteomics, and metabolomics, to clinical data and health outcomes data contained in ever more prevalent electronic health records (EHRs) and longitudinal drug and medical claims. We have entered a new era in which we can work on massive datasets effectively, combining data from clinical trials and direct observation by practicing physicians.
Potentiality of big data in the medical sector: focus on how to reshape the healthcare system
Healthcare informatics research, 2013
The main purpose of this study was to explore whether the use of big data can effectively reduce healthcare concerns, such as the selection of appropriate treatment paths, improvement of healthcare systems, and so on. By providing an overview of the current state of big data applications in the healthcare environment, this study has explored the current challenges that governments and healthcare stakeholders are facing as well as the opportunities presented by big data. Insightful consideration of the current state of big data applications could help follower countries or healthcare stakeholders in their plans for deploying big data to resolve healthcare issues. The advantage for such follower countries and healthcare stakeholders is that they can possibly leapfrog the leaders' big data applications by conducting a careful analysis of the leaders' successes and failures and exploiting the expected future opportunities in mobile services. First, all big data projects undertak...