Survey of Applications of Complex Event Processing (CEP) in Health Domain

  • Nadeem Mahmood Department of Computer Science (UBIT), University of Karachi, Karachi, Pakistan
  • Madiha Khurram Pasha Department of Computer Science (UBIT), University of Karachi, Karachi, Pakistan
  • Khurram Ahmed Pasha IT Department (BSS), Beaconhouse School System,, Karachi, Pakistan

Abstract

It is always difficult to manipulate the production of huge amount of data which comes from multiple sources and to extract meaningful information to make appropriate decisions. When data comes from various input resources, to get required streams of events form this complex input network, the one of the strong functionality of Business Intelligence (BI) the Complex Event Processing (CEP) is the appropriate solution for the above mention problems. Real time processing, pattern matching, stream processing, big data management, sensor data processing and many more are the application areas of CEP.
Health domain itself is a multi-dimension domain such as hospital supply chain, OPD management, disease diagnostic, In-patient, out-patient management, and emergency care etc. In this paper, the main focus is to discuss the application areas of Complex Event Processing (CEP) in health domain by using sensor device, such that how CEP manipulate health data set events coming from sensor devices such as blood pressure, heart rate, fall detection, sugar level, temperature or any other vital signs and how this systems respond to these events as quickly as possible. Different existing models and application using CEP are discussed and summarized according to different characteristics.

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Published
2017-12-31
How to Cite
MAHMOOD, Nadeem; KHURRAM PASHA, Madiha; PASHA, Khurram Ahmed. Survey of Applications of Complex Event Processing (CEP) in Health Domain. Sukkur IBA Journal of Computing and Mathematical Sciences, [S.l.], v. 1, n. 2, p. 88-94, dec. 2017. ISSN 2522-3003. Available at: <http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/21>. Date accessed: 11 dec. 2018. doi: https://doi.org/10.30537/sjcms.v1i2.21.