TempR-PDM: a conceptual temporal relational model for managing patient data

  • Authors:

  • Aqil Burney;Nadeem Mahmood;Kamran Ahsan

  • Affiliations:

  • Department of Computer Science, UBIT, University of Karachi, Karachi, Pakistan;Department of Computer Science, UBIT, University of Karachi, Karachi, Pakistan;Faculty of Computer Engineering and Technology & Health Sciences Department, Staffordshire University, United Kingdom

  • Venue:
  • AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
  • Year:
  • 2010

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Abstract

Time is one of the most difficult aspects to handle in real world applications, especially in database systems. Relational database management systems proposed by Codd offer very little built-in support for managing time varying data and theory of temporal semantics. Many temporal extensions of the relational model have been proposed and some of them are also implemented. The proposed system is based on an ontology of health Care terminology including patients vital data, activities and as well as the treatment data. We will propose a conceptual temporal model for handling time varying attributes in the relational database model with minimal temporal attributes. The proposed model is easy to define, manage and incorporates the important and relevant features in the target temporal relational model. Furthermore we have illustrated implementation of the model on patient database and also present the requirement analysis: work flow for managing patients in hospital environment. In response to rising health care costs, reliability, privacy, security and changing expectations concerning the quality of health care, data management is very important in improving health care services.