Evaluation of environmental impact upon human health with decimas framework

The article is dedicated to the problem of decision making in complex systems. Application of a novel interdisciplinary approach, which widely use intelligent agents is offered. The principal ideas of the novel approach are embodied into the DeciMaS framework, that offers a logical set of stages oriented to creation of decision support systems for complex problem management. The components of the DeciMaS framework and the way in which they are organized are introduced. Design and implementation of the system are discussed. The article demonstrates how the initial information is transformed into knowledge. Impact assessment upon human health evaluation is the case study, which is resolved by DeciMas framework. It includes creation of the meta-ontology. In addition, a multi-agent architecture for a decision support system is introduced. The sequence of the steps for the DeciMaS framework design with Prometheus Development Kit and its implementation with JACK Development Environment are presented as well. Finally, data and experiment results of data modeling, simulation, impact assessment, and decision generation are discussed

Information Systems and Healthcare XXXIV: Clinical Knowledge Management Systems—Literature Review and Research Issues for Information Systems

Knowledge Management (KM) has emerged as a possible solution to many of the challenges facing U.S. and international healthcare systems. These challenges include concerns regarding the safety and quality of patient care, critical inefficiency, disparate technologies and information standards, rapidly rising costs and clinical information overload. In this paper, we focus on clinical knowledge management systems (CKMS) research. The objectives of the paper are to evaluate the current state of knowledge management systems diffusion in the clinical setting, assess the present status and focus of CKMS research efforts, and identify research gaps and opportunities for future work across the medical informatics and information systems disciplines. The study analyzes the literature along two dimensions: (1) the knowledge management processes of creation, capture, transfer, and application, and (2) the clinical processes of diagnosis, treatment, monitoring and prognosis. The study reveals that the vast majority of CKMS research has been conducted by the medical and health informatics communities. Information systems (IS) researchers have played a limited role in past CKMS research. Overall, the results indicate that there is considerable potential for IS researchers to contribute their expertise to the improvement of clinical process through technology-based KM approaches

An empirical study of the technological, organisational and environmental factors influencing South African medical enterprises' propensity to adopt electronic health technologies

Information and communication technologies can be used to deliver healthcare services and improve the healthcare system. Any electronic healthcare system whose usage results in the efficient and enhanced quality of healthcare is an eHealth system and can be beneficial for medical enterprises. Despite the advantages that eHealth systems offer, medical enterprises are often reluctant to abandon their paper-based systems and embrace eHealth solutions. Through a review of existing eHealth literature, this study identified generic technologies used within South African medical enterprises. Fourteen (14) technologies, that represent a basket of eHealth systems for supporting the business management, professional clinical informatics, patient information storage and consumer health informatics functional areas, were identified. The study then aimed to determine the state of adoption of these technologies as well as the factors influencing adoption. The technological, organisational and environmental (TOE) factors that contributed to the current state of adoption were identified through a review of existing TOE literature. A model that explores the effects of these pre-determined TOE factors on the propensity to adopt eHealth was developed and tested. A cross-sectional, quantitative study was carried out and survey data was collected from a sample of 130 medical enterprises in South Africa. Data was collected using a structured questionnaire. Correlation analysis was used to test the model’s hypotheses and hierarchical regression was used to test the overall TOE model. By using the TOE framework, the study has provided a theoretical contribution and addressed a gap in the literature into the barriers and determinants of the adoption of information and communication technologies (ICTs) in healthcare. The results of the study show that South African medical enterprises use systems that range from simple electronic fund transfer systems to more complex electronic record and clinical decision support systems. Of the 14 technologies that were identified, business information systems such as medical aid claims submission systems and electronic record systems for patient and fee related information were the most adopted while a steady, but continued increase in the adoption of clinical health information systems was observed. Specifically, the study reveals that electronic fund transfer systems are the most adopted systems while ePrescription systems are the least used. Furthermore, the study shows that in addition to the enterprises’ operating period, perceived benefits, IT infrastructure, senior clinician involvement, resource commitment and external pressure are correlated with the propensity to adopt while system complexity is a barrier to technology adoption