Chapter 2: Literature Review
The objective of the literature review was to recognise the precise literature on the Big Data with respect to health based practices like the healthcare, telemedicine and public health with respect to their additional value that can be assessed and prospects of the actions of the policy can be attained.
The research questions have been given as follows:
Q1. What are the instances for the utilisation of Big data in the telemedicine, healthcare and public health practices?
Q2. What are the additional values with respect to sustainability of the health process, enhancing the quality and the efficiency of the treatment, fighting the chronic disease and assistance of healthy lifestyle can bring in?
2.1 Identification of the added value of Big Data in health practices
The additional values were discovered with respect to the effectiveness and quality of treatment, maintenance of the heath systems, fighting the continual diseases and assistance in the healthy lifestyle (Bates et al., 2014). The instances were discovered to be one or more of the fields of application that are as follows:
· Service research and health system
· Surveillance of the public heath
· Clinical research
2.2 Derivation of policy actions for Big Data in Health
The actions with respect to the policy for Big Data were recognised by Schneeweiss, (2014). Furthermore, the search that has been systematic in nature was harmonized by the widespread manual search in order to cover the most current literature.
An iterative gathering mechanism was utilised in order to attain the initial set of policy actions. In the initial round, the actions of policy recognised for the second selection of the overall texts that have been clustered within the dimensions of the value chain of the data which is inclusive of a dimension on the safety, privacy and dimensions that are overarching in nature (Roski et al., 2014). In the next round, a more effective clustering was undertaken that was based on te distinct and topics that have been occurring frequently.
For a more precise set of the policy features, the SWOT assessment of undertaken. The SWOT analysis serves as the critical reflection that is intrinsic in nature due to the feasibility for incorporating the policies that have been recognised. The idea of SWOT analysis has its base in the strategic management and basically focused to facilitate the establishment of the strategy of the organization by assessing the intrinsic weaknesses and strength and the threats and the opportunities that are external in nature (Jee, & Kim 2013). The SWOT analysis for every policy action focused to provide an overview of the most significant internal weaknesses and strengths and the external benefits and threats and has acted as a base for the documenting of the policy suggestions in the future course of the paper.
What are the internal strengths of actions in accordance to the added value they provide to the health policy?
What are the internal weaknesses of the actions in accordance to the added value they have been providing to the health policy
What are the opportunities that can promote the incorporation of the actions on behalf of the council?
What are the threats that can have an impact on the incorporation of the actions?
2.3 Big Data in Healthcare
The data is regarded to be as significant as oil. Conversely, the oil that has remained unprocessed is of no use. In the same manner, data in the unfiltered form has been of no use. The key information can be mined from the data by making use of the various analytical processes (Kim et al., 2014).
The explanation of the volume of data, the kind of data and the entity restrictions are very vast. The combination of the healthcare is very large and therefore known as big data but it is not as vast that the companies cannot manage. The healthcare providers have not gone through any difficult scenario to manage the data for them, but conversely it is always effective to anticipate the improvements in the technology and the incorporation that can asset them. According to Siegel, (2016), enhanced targeting of the restrictive healthcare aims to the precise population at the precise time. Hence, as an outcome, Hadoop data approach is one of the key choices that can go along in the current trends. The constructional abilities of Hadoop data processing would be able to encourage the mathematical processes that are available currently, the medical research methods to raise the end result quality. Even though the big data may not be their scenario, however the discovery process to reveal innovative techniques to assess the data that they have, raise the preciseness of the experimental outcome and thereby give numerous mechanisms in order to discover the data quality which has been of the highest emphasis (Zhang et al., 2015).
The availability of the numerous sources of the data aids in processing and assessing the end result of the data with numerous features. The assessment of a big set of data by making use of the Hadoop technology will assist not only in the processing mechanism in comparison to the conventional database solutions that are currently being used but would even provide an additional benefit to assess the data in an effective manner.