Abstract
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.
Highlights
Conversion to a logical rules set from a legal text document remains an important and difficult task [1] due to the complex structure of legal text documents
For any type of research, the covered entity must obtain consents “CT12” from the researcher. Consents must conform such that the disclosure is sought solely to review PHI as necessary to prepare a research protocol or for similar purposes that are preparatory for the research “CT13”
A methodology to formalize legal text required to build and design medical decision support system (MDSS) to facilitate the process of exchanging data electronically with the lowest human intervention has been presented
Summary
Conversion to a logical rules set from a legal text document remains an important and difficult task [1] due to the complex structure of legal text documents. The legal text document consists of different sections, subsections, clauses, sub-clauses and sub-sub-clauses It is a complex job for a software engineer who does not understand the exact meaning of these clauses and has been given the task of building a medical decision support system (MDSS), which supports the exchange of private health information according to the medical law of that country. It will make it easier for a software engineer to design and build MDSS if we provide him or her a logical rules set.
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