Essay On Big Data

However, health informatics is the kind of application system normally used by most hospitals and clinics to deliver high quality and cost efficient healthcare service to the community. According to Bacon County Hospital press release (2002), the informatics system was implemented to make the delivery of medical services such as surgical treatment and other general treatment faster. In this paper, therefore we look into how the informatics systems/applications has evolved since it was implemented by the Bacon County Hospital; discuss the future trends for healthcare informatics and how these trends impact the healthcare delivery system.

The company is a medical reimbursement company that deals with patients’ personal information from social security, to medical history and banking information. As technology in the healthcare field continues to expand, we have begun to use more big data to store all our patient personal health records and our employees’ personal records. Maintenance and processing of various and high volume data have created the “Big Data” challenge. As Gartner (2015) said: “Big Data is high-volume, -velocity and -variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making” [6]. Under the Health Insurance Portability and Accountable Act (HIPAA) laws, the healthcare industry is privy and held to a very high standard to protect and keep all patients’ personal information private, safe and secured; Digitalization and accumulation large healthcare data provides great potential for healthcare data. The key to the best patient-centric, evidence-base and accountability care is delivered through big data in healthcare (Yang, Li, Wang, Chen, Wu, Wang, Pan and Mulder 2015). There are still many healthcare challenges that need to be addressed to help enhance healthcare services. With cloud computing in healthcare, the company is one step closer to lowering their operational cost and eliminating the use of hardware and software to store data. With all the company’s data stored on networks, servers and applications it makes it easier for the data to be accessible any part of the world. Some of the advantages of cloud computing includes availability, performance and load balancing (Malekabadi, Javan & Akbari 2015). When all of the company’s data is stored on the networks and computed, it is taken by Iron Mountain and stored in a remote location. With the continued growth of innovative technology cloud computing will continue to

Healthcare delivery system in recent times is confronted with a lot of problems, cost, accessibility and quality of care. To be able to address these problems, healthcare organizations rely on information science technology to enhance cost-effectiveness, and safe quality care.

With the growing ability of organizations to capture and analyze large batches of data, there are ever-increasing possibilities for the development of healthcare studies utilizing Big Data’s promise of advancement in data processing. These tools can benefit the field of healthcare by treating data as an asset to be managed, as well as providing new insights into genomic development of large populations that were previously not fathomable. The health care industry is one sector of the economy where data analysis presents great opportunities for improvement in the quality of services provided, but with these possibilities come great challenges in collecting, utilizing, and education the next generation of data stewards, and the NIH is sure to look to global models for data quality in carrying out their new directive.

Worldwide use of computer technology in medicine began in the early 1950s with the rise of the computers. In 1949, Gustav Wagner established the first professional organization for informatics in Germany. Medical informatics research units began to appear during the 1970s in Poland and in the U.S. Since then the development of high-quality health informatics research, education and infrastructure has been a goal of the U.S. and the European Union. (NYU graduate training program, 2010) Changes in the healthcare environment produced fundamental shifts in the delivery of healthcare. The altering landscape of healthcare is creating a huge demand for health data analytics. The growth and maturity of healthcare informatics over the past decade has been a prime catalyst in positioning the healthcare industry for the changes posed by reform measures. By understanding the process of analytics, clinical informatics specialists say healthcare providers have the insight necessary to make the process adjustments in the future.(Riskin, 2013)

It is important to understand the history of how the healthcare industry decided to embrace the use of computer databases. Typically healthcare was often the last to employ new technology; especially when it came to assembling and disseminating data. As a Director of HIM (Health Information Management) it would be beneficial to remember this as there will undoubtedly be some resistance when attempting to implement new and improved systems to track everything from patient outcomes and laboratory tests to prescriptions and medications.

Clinical business intelligence is a modular and scalable platform that helps the organizations to seamlessly integrate data from multiple clinical and financial system and address the most critical BI and analytical needs. Physicians use the hospital EHR and other clinical IT applications to make decisions and provide excellent care to the patients but recently the physician practice network deployed new EMR along with a bunch of online e-prescriptions and lab applications. The hospital system relates to a statewide health information exchange. The new kinds of data support the physicians and administrators in making clinical and financial decisions. BI clinical also leverages technology partnerships to give organizations the

The advent of the Electronic Health Record is ushering in a new era in advanced healthcare. The next 20 years will be an exciting time to be involved in health care as a Health Information Manager. Analyzing the myriad of health information which could reveal astonishing medical breakthroughs excites my imagination. I see the perfect pathway for my future. I am on track to graduate with Honors from Portland Community College’s Health Information Management Program in June 2016.

Health informatics has successfully captured the attention of clinical and public health leaders around the nation as they realize its potential to solve problems, cut cost and enhance patient experience. As discussed in class, The American Reinvestment and Recovery Act (ARRA) of 2009 initiated a program designed to equip hospitals and medical practices around the country with electronic health record systems. Known as the Meaningful Use program, it has provided financial encouragements to health care organizations to install these computerized systems. This act has resulted in a huge increase of electronic health records (EHR) companies and has generated countless jobs for healthcare data analysts and related IT positions.

Data is one of the most valuable assets in any healthcare organization. The adoption and use of EHR systems makes it possible to collect, store, and analyze more data than ever before. Through the use of analytical tools this data is being turned into meaningful and qualitative information with which to support the clinical, operational, and financial decisions of the healthcare facility. The process of organizing and managing data so as to drive quality improvement efforts and business development within the healthcare industry is known as healthcare informatics. The article, Making Data Smart: Practical informatics is helping transform data into health intelligence, and now moving into day-to-day HIM work, by Mark Crawford, details how the HIM professional can utilize the emerging EHR applications and technologies to support health informatics and streamline workflows, improve quality care, and reduce expenditures.

In today’s modernized society, health care organizations rely heavily on information systems. Information technology has improved tremendously over the years, becoming a major advantage to the health care industry. With proper planning, development, and management, information technology can bring about countless efficiency in structural maneuvers. With the constant changes in technology, a health care organization must stay up-to-date on technology and the lasted trends that offer the best patient care possible. Information systems designed for health care industries must help the organization meet the

One major big data system implemented in healthcare today is Electronic Health Records (EHR). CMS.gov describes EHR as,

The promise of data-driven decision-making is now being recognized broadly, and there is growing enthusiasm for the notion of ``Big Data.’’ While the promise of Big Data is real -- for example, it is estimated that Google alone contributed 54 billion dollars to the US economy in 2009 -- there is currently a wide gap between its potential and its realization.

As we know, for delivering good qualitative service in healthcare industry, data plays an important role. So it’s necessary to understand the fact that the big data must be used in a right way to make health service industries successful. For managing and analysing the big data it’s important to have a good knowledge about the healthcare data complexity, framework, technologies for “big data analytics in healthcare industries”.

Due to the rapid growth in the use of Internet and its connected tools, an enormous amount of data are being produced on a daily basis. The concept of big data arrives when we were unable to manage this huge data with traditional methods. Big data is a mechanism of capturing, storing and analyzing the big datasets and also an idea of extracting some value from it. It is very handful while determining the root causes of failures, issues and defects in near-real time, creating coupons and other sales offers according to the customers shopping patterns, detecting any suspicious and fraudulent activities in real-time. As it is very advantageous, it also has some issues. Some of the common issues can be characterized into heterogeneity, complexity, timeless, scalability and privacy. The most important and significant challenge in the big data is to preserve privacy information of the customers, employees, and the organizations. It is very sensitive and includes conceptual, technical as well as legal significance.