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International Journal of Electronic Healthcare (3 papers in press)
Requirement Specification of an Ontology-Based Semantic Recommender System for Medical Prescriptions and Drug Interaction Detection by Ali Asghar Safaei, Sayyed Saeid Safaei Abstract: The prescription of proper drugs is very important for disease treatment and patient health. Search and analyze the resources to find drug interactions is a time-consuming and difficult task. It is possible to accelerate this process and improve the quality of drug prescriptions using the life sciences information sources available on the semantic web. In this paper, the requirement specification of an ontology-based semantic recommender system for medical prescriptions and drug interaction detection has been presented. The main functions of the system and its requirements were initially extracted and described in detail by observing the existing system in the hospitals, interviewing medical specialists, and analyzing questionnaires. Then, an appropriate ontology was designed and implemented for the system by using Prot Keywords: Semantic Recommender System; Adverse Drug Events; Ontology; Drug Interactions; Computerized Physician Ordering Entry.
Reminders for Medication Adherence: A Review and Research Agenda by Neetu Singh, Upkar Varshney Abstract: Reminders are very promising interventions for improving medication adherence as shown in numerous studies. However, there are several challenges including different effectiveness for patients, duration, diseases and complexity of regimen. In this paper, we conduct a systematic review of published literature using multiple databases to address above challenges. The systematic review resulted in identifying 77 papers. After classifying and analysing individual papers, we find that (1) reminders are effective when patients are busy or have cognitive impairment, (2) there is short-term improvement in MA with reminders, (3) patients lose interest in reminders with time, especially if the message is static or monotonous, (4) medication adherence will not improve if reminders do not address the underlying reasons behind low adherence, and (5) reminders are more suitable for unintentional non-adherence than intentional non-adherence. More research can be done to study and evaluate the effectiveness of reminders over long-term, especially using personalization and context-awareness. The findings can serve as a resource for healthcare professionals and researchers in deciding when and where to use reminders, for how long and how to improve the effectiveness of reminders. Keywords: Reminders; medication adherence; interventions; effectiveness; literature review; improvement.
Ranking the Access Control Models for Secured Sharing of EHR using Fuzzy TOPSIS Technique by Shalini Bhartiya, Deepti Mehrotra Abstract: With advancement of automation in hospitals each health care service provider maintains the medical records in electronic format, popularly known as EHR (electronic Health Records). Development of an interoperable environment allows EHRs to be shared, which undoubtedly enhances the availability of data, but also raise security concerns. For secured access of EHR, hospital needs such an access control model that gives access only to the authorized person. Selection of a suitable access control mechanism for secure and seamless sharing of EHRs is critical.. Thorough study of relevant criteria that influence the security of EHRs in an interoperable healthcare environment is essential. This paper adopts Fuzzy TOPSIS, a Multi Criteria Decision Making (MCDM) approach, to select the most suitable access control model for secured sharing of EHR. Opinions gathered from IT experts working in various hospitals were analysed using Fuzzy TOPSIS. Analysis claims Attribute-based Access Control Model to be most suitable model. Keywords: Access Control Models; Electronic Health Records; Fuzzy TOPSIS; Healthcare Environment; Interoperable; Security.