7,479 research outputs found
RBAC-Matrix-based EMR right management system to Improve HIPAA Compliance
[[abstract]]Security control of Electronic Medical Record (EMR) is a mechanism used to manage electronic medical records files and protect sensitive medical records document from information leakage. Researches proposed the Role-Based Access Control(RBAC). However, with the increasing scale of medical institutions, the access control behavior is difficult to have a detailed declaration among roles in RBAC. Furthermore, with the stringent specifications such as the U.S. HIPAA and Canada PIPEDA etc., patients are encouraged to have the right in regulating the access control of his EMR. In response to these problems, we propose an EMR digital rights management system, which is a RBAC-based extension to a matrix organization of medical institutions, known as RBAC-Matrix. With the aim of authorizing the EMR among roles in the organization, RBAC-Matrix also allow patients to be involved in defining access rights of his records. RBAC-Matrix authorizes access control declaration among matrix organizations of medical institutions by using XrML file in association with each EMR. It processes XrML rights declaration file-based authorization of behavior in the two-stage design, called master & servant stage, thus makes the associated EMR to be better protected. RBAC-Matrix will also make medical record file and its associated XrML declaration to two different EMRA(EMR Authorization)roles, namely, the medical records Document Creator (DC) and the medical records Document Right Setting (DRS). Access right setting, determined by the DRS, is cosigned by the patient, thus make the declaration of rights and the use of EMR to comply with HIPAA specifications.[[incitationindex]]SCI[[booktype]]電子版[[booktype]]紙
Enhancing Consumer Engagement in an Online Brand Community via User Reputation Signals: A Multi-Method Analysis
Generating and maintaining consumers’ engagement in online brand communities is critical for marketing managers to enhance relationships and gain customer loyalty. In this research, we investigate how the type of signal used to indicate user reputation can enhance (or diminish) consumers’ community engagement. Specifically, we explore differences in perceptions of points (i.e., point accrual systems), labels (i.e., descriptive, hierarchical identification systems), and badges (i.e., descriptive, horizontally-ordered identification systems). We argue that reputation signals vary in the degree to which they can provide role clarity—the presence of user roles that deliver information about expected behaviors within a group. Across several studies, including a natural experiment using panel data, a survey of community members, and two controlled experiments, we show that signals that evoke a positive social role have the ability to drive greater engagement (i.e., creating discussions, posting comments, and future engagement intentions) than signals that do not provide role clarity. The effect is moderated by user tenure, such that new consumers’ engagement is particularly influenced by signal type. These findings have important implications for marketers as they use reputation signals as a strategic tool when managing online communities
Application of mcdm approach to evaluate the critical success factors of total quality management in the hospitality industry
Although many studies have focused on significant role of total quality management (TQM) in literature, little attention has been paid to using the fuzzy multiple criteria decision making (FMCDM) for analysis TQM factors especially in the context of hospitality. The purpose of this study is to identify, prioritize and evaluate the TQM critical success factors (CSFs) in hospitality industry by integrating the theory of fuzzy sets, quantitative and qualitative approaches. Primary criteria to evaluate TQM CSFs are achieved by the literature survey, and the Fuzzy Delphi Method (FDM) has been used by experts for evaluating of soft and hard TQM CSFs. In the following step, we employed the Fuzzy Analytic Hierarchy Process (FAHP) to find the weights of criteria. The results of this study indicated that, internal and external cooperation had the first rank among other CSFs in hospitality industry. In addition, the second and third rank in soft aspect includes customer focus and leadership respectively. The findings of this study shown guidance to practitioners and managers of quality to implement of TQM in their organizations, effectively by using the suggested set of identified TQM CSFs
A survey of statistical network models
Networks are ubiquitous in science and have become a focal point for
discussion in everyday life. Formal statistical models for the analysis of
network data have emerged as a major topic of interest in diverse areas of
study, and most of these involve a form of graphical representation.
Probability models on graphs date back to 1959. Along with empirical studies in
social psychology and sociology from the 1960s, these early works generated an
active network community and a substantial literature in the 1970s. This effort
moved into the statistical literature in the late 1970s and 1980s, and the past
decade has seen a burgeoning network literature in statistical physics and
computer science. The growth of the World Wide Web and the emergence of online
networking communities such as Facebook, MySpace, and LinkedIn, and a host of
more specialized professional network communities has intensified interest in
the study of networks and network data. Our goal in this review is to provide
the reader with an entry point to this burgeoning literature. We begin with an
overview of the historical development of statistical network modeling and then
we introduce a number of examples that have been studied in the network
literature. Our subsequent discussion focuses on a number of prominent static
and dynamic network models and their interconnections. We emphasize formal
model descriptions, and pay special attention to the interpretation of
parameters and their estimation. We end with a description of some open
problems and challenges for machine learning and statistics.Comment: 96 pages, 14 figures, 333 reference
A case-based system for lesson plan construction
Planning for teaching imposes a significant burden on teachers, as teachers need to prepare different lesson plans for different classes according to various constraints. Statistical evidence shows that lesson planning in the Malaysian context
is done in isolation and lesson plan sharing is limited. The purpose of this thesis is to
investigate whether a case-based system can reduce the time teachers spend on
constructing lesson plans. A case-based system was designed SmartLP. In this
system, a case consists of a problem description and solution pair and an attributevalue
representation for the case is used. SmartLP is a synthesis type of CBR
system which attempts to create a new solution by combining parts of previous
solutions in the adaptation.
Five activities in the CBR cycle retrieve, reuse, revise, review and retain
are created via three types of design: application, architectural and user interface.
The inputs are the requirements and constraints of the curriculum and the student
facilities available, and the output is the solution, i.e. appropriate elements of a
lesson plan. The retrieval module consists of five types of search advanced search,
hierarchical, Boolean, basic and browsing. Solving a problem in this system involves
obtaining a problem description, measuring the similarity of the current problem to
previous problems stored in a database, retrieving one or more similar cases and
attempting to reuse the solution of the retrieved cases, possibly after adaptation.
Case adaptation for multiple lesson plans helps teachers to customise the retrieved
plan to suit their constraints. This is followed by case revision, which allows users to
access and revise their constructed lesson plans in the system. Validation
mechanisms, through case verification, ensure that the retained cases are of quality.
A formative study was conducted to investigate the effects of SmartLP on
performance. The study revealed that all the lesson plans constructed with SmartLP
assistance took significantly less time than the control lesson plans constructed
without SmartLP assistance, although they might have access to computers and
other tools. No significant difference in writing quality, measured by a scoring system,
was noticed for the control group, who constructed lesson plans on the same tasks
without receiving any assistance. The limitations of SmartLP are indicated and the
focus of further research is proposed.
Keywords: Case-based system, CBR approach, knowledge acquisition, knowledge
representation, case representation, evaluation, lesson planning
- …