Framework For Selecting Analytics Tools To Improve Health Care Big Data Usefulness in India

In the developing countries like India, there are certain challenges exist related to; how to build network between the patients, daignosis and medical personnel and including these how big data are being generated. The challenges include the relationship and interaction that exist between the big data within the various networks. Some of the challenges are like inaccuracy of data, inconsistency, and incompleteness of information and lack of confidence. The main problem arises is the inability to select the most appropriate analytics tools for the big data analysis in health sector. The objective of the current study was to provide best solution that can be used to solve the challenges of selecting analytical tools, to enhance big data interpretation which will improve the health care services in developing countries like India. For the study literarature of last 10 years of publication in the areas of big data, big data analytics of health care are collected. The data were analysed within the inerpretivist paradigm. From the analysis it was found that there are various factors which influence the big data and different tools were also analysed, the result formed a based on which a solution to solve dig data analytics problem. The solution contributes to information system and technologies in health sector. The conclusion of the study are; there exist a relationshoip between factors and the factors interaction in the process of providing medical services contribute to the souces of big data. Therefore, it is necessary to holistically analyse the bigdata from both technical and non-technical prespectives.