Big Data’s Impact on Healthcare

There is neither measurement standard nor improvement. Once upon a time, stealing data was a battlefield for data-driven insight on ownership. Today, the explosive growth of big data shows one of the biggest fundamental changes in the healthcare industry. Healthcare executives are still fighting for control insight, but everyone is faced with unprecedented data leaks. This era of big data has an enthusiastic learning curve that offers many challenges to hospitals who want to create value and quality.

Hospital administrators face a range of efficiency challenges in management, employee management, supply chain management, and cost management. The data was overflowing everywhere in the hospital management network, including patient management, employee productivity measurement, supply chain expenditure, cost reduction waves. When it comes to life and death problems, medical service providers do not want to "pinch money". However, focusing on high-quality care may actually hurt medical terms if it means to look at the cost. Utilizing the data, hospital administrators gain insight, optimize resources and business processes, improve revenue and patient care. Health care is one of the most regulated industries. In many cases, hospitals must obey the work required by various organizations. For example, since 2000, the Ministry of Health of Singapore has requested to monitor a series of clinical quality indicators in all acute care medical and private hospitals and benchmark them against domestic and international regulations . In the Philippines, public health managers use a list of 20 observable behaviors to evaluate remote health workers. Data externally generated by patients, employees and officers and governments, suppliers, insurance companies, financial institutions and other partners are explodingly growing. Because its spread is everywhere, it is difficult for hospitals to catch up.

There are many articles on the benefits of big data on health care, such as improved patient outcome, public health monitoring, and medical policy decision. In the past five years, the fields of big data and data science have promised to provide a more effective health care system, have been widely promoted as "holy grail" of the healthcare industry, improve the outcome of healthcare Then it is expected. Recently, however, medical researchers have revealed the potential and deleterious effects Big Data has on patients' medical care, which leads to increased medical expenses, patient mortality, and false decisions by clinicians and health policy makers Did. In this article we review the current trend of big data and pay particular attention to the unintended negative impact of big data relating to health care, especially patient and clinical care.

GNS Healthcare is a large-scale data analytical company that enables health programs, suppliers, pharmaceutical companies, and foundations to make intelligent decisions based on data. GNS provides an analytical solution that specifically predicts the impact of each individual's intervention to improve overall population health and reduce costs. IDx is a leading artificial intelligence diagnostic company devoted to changing health care quality, accessibility, and affordability. The company 's first product, IDx - DR, is an FDA - approved AI - based diagnostic system designed to detect the forefront of diabetic retinopathy. IDx is developing other AI-based diagnostic algorithms for detecting macular degeneration, glaucoma, Alzheimer's disease, cardiovascular disease and stroke risk

This article outlines the big data analysis in the medical field. First, I will define and explain various advantages and features of big data analysis in healthcare. Next, I will explain the big data analysis architecture framework in the healthcare field. Third, a method for developing a big data analysis application is described. Fourth, we provide examples of big data analysis in healthcare reported in the literature. Fifth, challenges were confirmed. Finally, I will explain the conclusion and future directions.