Numero Uno Business Solutions for Healthcare Domain

Authors

  • Prof. Sayed Rehan  Computer Science and Engineering, Anjuman College of Engineering and Technology, Sadar, Nagpur, Maharashtra, India
  • Sohraab Lawrence  Computer Science and Engineering, Anjuman College of Engineering and Technology, Sadar, Nagpur, Maharashtra, India
  • Pooja Wankhede  Computer Science and Engineering, Anjuman College of Engineering and Technology, Sadar, Nagpur, Maharashtra, India
  • Sonam Lanjewar  Computer Science and Engineering, Anjuman College of Engineering and Technology, Sadar, Nagpur, Maharashtra, India
  • Mohammed Dilshad  Computer Science and Engineering, Anjuman College of Engineering and Technology, Sadar, Nagpur, Maharashtra, India
  • Ali Abuzer  Computer Science and Engineering, Anjuman College of Engineering and Technology, Sadar, Nagpur, Maharashtra, India

Keywords:

Revenue, Data sources, Complexity, Predictive modeling, Visualization, Standards, Insights, Underutilized services.

Abstract

In order to reduce costs, increase revenue and improve patient safety and outcomes while the data sources been generated in billions and overall difficulty in handling the complexity of data generated within healthcare organisation. The need for advanced analytics to support decision-making capabilities is much required. People require predictive modelling and data visualisation tools from modern business intelligence software applications to gain insights regarding patient care and satisfaction. ’Numero Uno Business Solutions for Healthcare Domain’ is about analysing the data to produce quality insights and help understand the health of your business.

References

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Published

2020-03-21

Issue

Section

Research Articles

How to Cite

[1]
Prof. Sayed Rehan, Sohraab Lawrence, Pooja Wankhede, Sonam Lanjewar, Mohammed Dilshad, Ali Abuzer "Numero Uno Business Solutions for Healthcare Domain" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 5, Issue 7, pp.335-337, March-April-2020.