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Process Analytics Model Approach in Healthcare: The Technological Perspective
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Author(s): S. Santhosh Kumar (Department of Computer Science, Alagappa University, India)and A. Sumathi (Department of CSE, SRC, SASTRA University (Deemed), India)
Copyright: 2020
Pages: 11
Source title:
Opportunities and Challenges in Digital Healthcare Innovation
Source Author(s)/Editor(s): Kamaljeet Sandhu (University of New England, Australia)
DOI: 10.4018/978-1-7998-3274-4.ch011
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Abstract
Process analytics involves the relationship between the doctor, diagnostic centers and patient. The primary advantages of using process analytics in healthcare are expert guidance, global medical assistance, and possible alternate treatment mechanisms. The secondary advantages are the analysis of the same type of disease complications and the creation of a disease-based healthcare data repository. This chapter focuses on the process model-based approach for healthcare analytics. The two emerging techniques Big data and IoT are needed to be incorporated with the process model for storing and analyzing the healthcare data. The first category assists administrators with identifying areas to streamline operations and concretely increase savings. Research and development are crucial aspects of healthcare, providing new innovative solutions and treatments that can be properly tracked, measured, and analyzed.
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