The Role Of Cloud Based Infrastructure On The Health Sector

Demonstrate a responsible way to share health data among other hospitals and academic researchers that will develop new medical therapies and drugs.

Healthcare stakeholders know how to value what they have captured and they have come up with many ideas to help with their goal. “Big data could transform the healthcare sector, but the industry must undergo fundamental changes before stakeholders can capture its full value” (Kayyali, B., Knott, D., Van Kuiken, S., 2013). Since the affordable care act has been in place there has been an increase number of patients seeking preventative care or even seeking help for chronic illnesses that they weren’t seen for because of lack of insurance. Because of that, there has been a shortage of physicians, nurses and other healthcare providers. So the stakeholders have another challenge on their hands in trying to hire more doctors and nurses to help with the increase of patients.

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.

In a distributed database system, all the databases or the storage devices are not connected to a single common processing unit like CPU. The various data may be stored at different physical locations in multiple computers that are located in the same physical location; or they may be inter-connected over a network. In other words, distributed database system consists of various data locations but they do not share any physical components.

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)

To begin with, Dell software an information technology enterprises describes Data Mining as “an analytic process designed to explore data in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the

An additional component of healthcare is data. This is important because this allows health professionals to gather and analyze information to complete the task at hand the best way possible. This would allow doctors and nurses to be able to treat patients the most efficient way while trying to keep cost relatively low at the same time. Moreover, if the health

The government instigated the change, technology designed an application to manage and control the data, now it’s left to the healthcare industry to configure a business strategy for using data analytics to improve the outcomes related to the patient, secure population data and the improve the business of healthcare performance. What do all three have in common – survival?

It’s a value care for U.S patient population. Back to the digital health care prediction, Dr. Brown indicated that the vast amount of untapped data could have a great impact on health that exists outside of medical systems. However, there were challenges when it came to collecting healthcare data. First, the unstructured big data which presents in medical literature. How do we know which one to read? Second, a data associated with a single patient in an electronic medical record (EMR). An electronic medical record came with a structured data and an unstructured data. There was a question about the HIPPA regulation, and Dr. Brown assured that IBM adhered to the regulation completely. All these pooled data were placed in the Watson Cloud that aggregated the data together to perform different analytics. It’s all automated system. Then, IBM acquired Truvan that tracked insurance and reimbursement data and enabled to see overall

Researcher believe that the availability of big data will be of great impact especially in the medical field. They believe that when medical records are easily available to Doctors, doctors will be able to provide immediate diagnosis and medical treatment to their patients. Using this data is a great benefit to Doctors because they can look up prior successful treatment from other patients to help treat new patient. The challenge Doctors may encounter with so much information is that they may become overwhelmed and incorrectly delays treatment or not provide treatment to their patients. Also, the searchable information can be misleading or misunderstood by the medical provider and he or she based on the searchable information can incorrectly providing the same treatment to all the patient with the same

After I read “The Challenge: Moyen Sante Medical Sente, Chapter 7,” I learned how big data and data warehouses had caused a positive impact on health informatics. These impacts have reduced hospital readmissions, which has been a big setback for hospitals and healthcare organizations. The analytics system has caused health care systems to transform their health care system as they improve their information technology. Moreover, this may help advance the awareness of practitioner’s psychological decisions making especially towards data sources. As Ana and Ima showed a sign of agreement regarding the improve of their MSMC healthcare system in the future, Sarah provided a short video that intended to help answer the questions they were seek, such

Big data is an interesting concept, in which people use data to analyze trends, patterns, and associations and make use of these revelations to predict outcomes. You are using data every day that is being recorded to identify people’s desires and requests, and more specifically your desires and requests. Big data is used in retail, government, healthcare, car companies, and education, basically everywhere. Big data can allow for great advancements and prevention in all aspects of life, more specifically in healthcare. Big data is important to healthcare, because it can allow professionals to identify who has a greater risk of a disease and thus allows early detection and prevention. It allows tracking which medicine is more effective than the other. It allows for healthcare providers to have better records and accuracy in each and every patient. Big data is important to healthcare and here is why.

Personalized health care is the next step in improving health care. Big data is assisting in this search of figuring out a way to make health care more easily affordable and tailored to patients’ specific needs. Today, health care officials, families, and citizens are able to collect a significant amount of medical data through the use of Fitbit,

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”.

Doctors have to start the treatment without the complete information of patient’s medical history, which sometimes, is life threatening for the patient. Technologies could be used in healthcare sector to provide better healthcare facilities and reduce the operations costs. In our country we see that there is scarcity of doctors, nurses and pharmacy. But still there is rapid growth in healthcare services, while diseases are becoming more complex. More and more new and efficient diagnostic techniques and new way of treatments are being developed and used in healthcare sector so as to provide the patients with best possible treatment and in their budget. Many healthcare organizations are providing different kind of services to cater to highly diversified economic population which in turn has resulted in competition in the market. So the organizations which do not perform well are out of business. [3][4] As healthcare providers need cost effective automating processes which gives more profits, cloud computing will provide perfect platform in the healthcare information technology space. Many hospitals may share infrastructure with large number of systems linked together. By this pooling the hospitals automatically reduce the cost and increase utilization. The resources are delivered only when they are required. This also means realtime availability of patient information for doctors, nursing staff and