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Conversion of Legal Text to a Logical Rules Set from Medical Law Using the Medical Relational Model and the World Rule Model for a Medical Decision Support System

1
Department of Computer Science & Software Engineering, International Islamic University, H-10 Campus, Islamabad 4400, Pakistan
2
Department of Computer Science, Kent State University, Kent, OH 44240, USA
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editor: Olga Kurasova
Informatics 2016, 3(1), 2; https://doi.org/10.3390/informatics3010002
Received: 5 November 2015 / Revised: 18 January 2016 / Accepted: 23 February 2016 / Published: 26 February 2016
Automated formalization of legal text is a time- and effort-consuming task, but human-based validation consumes even more of both. The exchange of healthcare data in compliance with the medical privacy law requires experts with deep familiarity of its intricate provisions for verification. The article presents a medical relational model (MRM) for the extraction of logical rules from medical law, required to design a medical decision support system (MDSS) that facilitates the process of exchanging data electronically with minimum human intervention. The division of medical law into small concept classes makes it easier to formalize the legal text of medical law into logical rules. These logical rules are then used to make a precise decision in compliance with the law, after evaluating requests from different entities for different purposes in MDSS. Our methodology is to analyze the legal text and release records in compliance with the medical law. For developing countries where medical laws are not as mature as HIPAA (Health Insurance Portability and Accountability Act) in the USA, the proposed methodology can be adapted to build their MDSS based on MRM. View Full-Text
Keywords: HIPAA; privacy rules; logical rules; formalization; medical relational model (MRM); medical decision support system (MDSS); protected health information (PHI) HIPAA; privacy rules; logical rules; formalization; medical relational model (MRM); medical decision support system (MDSS); protected health information (PHI)
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MDPI and ACS Style

Khan, I.; Sher, M.; Khan, J.I.; Saqlain, S.M.; Ghani, A.; Naqvi, H.A.; Ashraf, M.U. Conversion of Legal Text to a Logical Rules Set from Medical Law Using the Medical Relational Model and the World Rule Model for a Medical Decision Support System. Informatics 2016, 3, 2. https://doi.org/10.3390/informatics3010002

AMA Style

Khan I, Sher M, Khan JI, Saqlain SM, Ghani A, Naqvi HA, Ashraf MU. Conversion of Legal Text to a Logical Rules Set from Medical Law Using the Medical Relational Model and the World Rule Model for a Medical Decision Support System. Informatics. 2016; 3(1):2. https://doi.org/10.3390/informatics3010002

Chicago/Turabian Style

Khan, Imran, Muhammad Sher, Javed I. Khan, Syed M. Saqlain, Anwar Ghani, Husnain A. Naqvi, and Muhammad U. Ashraf 2016. "Conversion of Legal Text to a Logical Rules Set from Medical Law Using the Medical Relational Model and the World Rule Model for a Medical Decision Support System" Informatics 3, no. 1: 2. https://doi.org/10.3390/informatics3010002

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