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reply to each discussion atleast 6 lines APA format.

Discussion 1

Big Data in the e-healthcare industry

Data Analytics:

It is how big data can be used into healthcare industry and have a great solution that will in turn benefit in return. Some of the applications like EHRs, mHealth, eHealth, Smart and connected health are the ones helping leverage and grow with some great infrastructure and evolving of health care system. Big data scientists are being questioned on how big data points are helpful to evidence for people’s health, if there is any theory that can help make it data driven to come with traditional approaches. To have great volume of the Big Data many action items have been tried in order to proceed with some of the requirements of the date. Using these analytics, we can certainly measure volume, velocity and variety of the data. This tool is really helpful in making and being able to use as user friendly. Having such value of Big data which is varied will become a challenge for analytics. Domain experts will have to think over the fetching the required knowledge for making decisions. In order to achieve all this we need data analysis that can help solve real time queries, understand the analysis tool. Validating this data part of will be help reduce the redundancy. A lot of techniques and mechanism, data automations and interpretations of data by visualization tools would be the basic level. The next level will be to streamline the data using data mining, those patterns can help recognize what kind of language can be used for machine learning and statistical learning for analysis and information retrieval.

Discussion 2

Benefits of Data Analysis

Data analysis plays a crucial in healthcare organization. Firstly, data analysis enhances fast and well-informed decisions for the medical professionals. The analysis gives the physicians the much-needed insights into the conditions of the patients, which are then use to make appropriate interventions (Juzwishin, 2019). Consequently, through analysis, the management of the healthcare organization is in a better position to understand the needs and expectations of the patients. With this knowledge, the management healthcare organization will position itself to satisfy these needs and demand. Another benefit data analysis is the increase awareness of risks in administration of medical interventions. Through data analysis, the medical will know the riskier intervention and take appropriate course of action to correct it.

Challenges of Data Analysis in Healthcare

The data analysis in healthcare sector comes with many challenges. One of the challenges is the data analysis is the visual representation of data. It takes a lot of time and also strenuous to put data into data visualization tools to convey the important message. the interpretation of analysis largely depend on the use of data visualization tools; and therefore, when data cannot presented using these tools it become irrelevant. Another challenge of data analysis is the data from multiple sources (Mukhtar & Abuelyaman, 2020). In the healthcare, patients’ data originates different sources such as labs, previous medications, and clinical operations among other sources. In such situation, it is an uphill task for the analyst to centralize it for the analytical purposes. Thirdly, analysis data in the healthcare is challenging because it require technical skills. The medical officers at the medical facility may be having insufficient skilled analysts to carry out big data analysis. Eventually, the analysis process may give unreliable insights and poor decision by the healthcare organizations.