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Informatics, Volume 3, Issue 1 (March 2016) – 2 articles

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Article
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
by Imran Khan, Muhammad Sher, Javed I. Khan, Syed M. Saqlain, Anwar Ghani, Husnain A. Naqvi and Muhammad Usman Ashraf
Informatics 2016, 3(1), 2; https://doi.org/10.3390/informatics3010002 - 26 Feb 2016
Cited by 10 | Viewed by 7195
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 [...] Read more.
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. Full article
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Article
Developing a Model of Distributed Sensemaking: A Case Study of Military Analysis
by Ashley Wheat, Simon Attfield and Bob Fields
Informatics 2016, 3(1), 1; https://doi.org/10.3390/informatics3010001 - 26 Feb 2016
Cited by 6 | Viewed by 7515
Abstract
In this paper, we examine the role of representational artefacts in sensemaking. Embodied within representational media, such as maps, charts and lists, are a number of affordances, which can furnish sensemakers with the ability to perform tasks that may be difficult to do [...] Read more.
In this paper, we examine the role of representational artefacts in sensemaking. Embodied within representational media, such as maps, charts and lists, are a number of affordances, which can furnish sensemakers with the ability to perform tasks that may be difficult to do inside the head. Presented here is a study of sensemaking in action. We conducted a study of military intelligence analysts carrying out a training exercise, the analysis of which focuses on the use of external task-specific representations. We present a discussion of the findings of our study in the form of a model of distributed sensemaking. Our model concentrates on the interaction of information and various representational artefacts, leading to the generation of insights and a situation picture. We also introduce a number of levels of description for examining the properties and affordances offered by representational artefacts and their role in the sensemaking process. Full article
(This article belongs to the Special Issue Human–Information Interaction)
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