Big Data is one of the most promising area where it can be applied to make a change is health care. Healthcare analytics have the potential to reduce the treatment costs, forecast outbreaks of epidemics, avoid preventable diseases, and improve the quality of life. In general, the lifetime of human is increasing along world population, which poses new experiments to today’s treatment delivery methods. Health professionals are skillful of gathering enormous volumes of data and look for best approaches to use these numbers. Big data analytics has helped the healthcare area by providing personalized medicine and prescriptive analytics, medical risk interference and predictive analytics, computerized external and internal reporting of patient data, homogeneous medical terms and patient registries, and fragmented point solutions. The data generated level within healthcare systems is significant. This includes electronic health record data, imaging data, patient-generated data, etc. While widespread information in health care is now mostly electronic and fits under the big data as most is unstructured and difficult to use. The use of big data in health care has raised substantial ethical challenges ranging from risks for specific rights, privacy and autonomy, to transparency and trust.
The concept of enormous data generated from various sources has been accepted and implemented by a lot of information technology-based organizations nowadays. It helps various organizations to understand that capturing and storing all the data that is being generated within the organization can be beneficial in the future and can get useful insights. Few of the most important advantages that can be gained with the help of using these generated data after analyzing are that it helps in increasing the speed and quality of work in the working environment. Since big data enables the working environment faster and agile it gives the particular organizations a competitive edge and uniqueness from other business organizations.
The implementation of big data analytics in any organizations lets them take a step forward in securing their important data. Hence the data can be used in later stages to identify new opportunities. This helps in building a better organization and takes an appropriate business decisions which will help in attaining more profits and making the customers much happier. The various importance of big data include as follows. Another important feature of big data is that it not only helps in understanding enormous data but also helps in reducing the cost incurred in various ways. By implementing big data technologies and various data manipulation tools it helps in achieving cost advantages. It also ensures that a large amount of collected data can be stored securely in order to ensure privacy protection. A large amount of data can be securely stored and it can be used to identify more efficient ways of doing business. Secondly, it helps in taking faster and better quality decision. With the help of rapid speed analytical tools, various resources and data can be combined to analyze new sources of data. Most of the modern businesses are able to analyze the contents and format of information as and when it is generated and make decisions by analyzing it. It also helps in identifying new products and services that can be manufactured to gain more profit and attract more customers. By understanding customer needs and satisfaction through analytics it makes a huge percentage of customers more satisfied.
Since big data and its analytical tools were introduced it has positively helped in healthcare sector in order to save lives more and more. A vast quantity of information collected from various sources over the internet are collected and stored so later on it can be analyzed various analytical tools. The analyzed information can be later on applied to healthcare sector. By using data sets collected from various sources to analyze healthcare situations it has helped to prevent and cure diseases. This also helps the doctors to understand the medical history of the patients. These generated reports can be used to understand if there is any possibility for serious illness. Treatment at an early stage consists of less procedure and can help in reducing the cost incurred by the patients. This also helps the insurance-based business companies or organizations to understand a better picture of patient’s medical history in order to give tailored custom insurance packages.
This has also helped the healthcare area by providing personalized medicines and medical risk interface to generate external and internal reports of the particular patient data. The data generated at various levels within healthcare systems are significant. The sources of these data are mainly from electronic health records (EHR), imaging data, patient-generated data, etc. While widespread information in health care is mostly electronical and fits under the big data since most of the information are in unstructured format hence making it time consuming to understand and make useful information out of it. The uses of big data in various sections of the society have increased at an unexpected rate. This has also increased the various challenges and risk involved. These challenges are faced mainly with regards to rights, privacy, and trust.