Factors shaping the evolution of electronic documentation systems

The main goal is to prepare the space station technical and managerial structure for likely changes in the creation, capture, transfer, and utilization of knowledge. By anticipating advances, the design of Space Station Project (SSP) information systems can be tailored to facilitate a progression of increasingly sophisticated strategies as the space station evolves. Future generations of advanced information systems will use increases in power to deliver environmentally meaningful, contextually targeted, interconnected data (knowledge). The concept of a Knowledge Base Management System is emerging when the problem is focused on how information systems can perform such a conversion of raw data. Such a system would include traditional management functions for large space databases. Added artificial intelligence features might encompass co-existing knowledge representation schemes; effective control structures for deductive, plausible, and inductive reasoning; means for knowledge acquisition, refinement, and validation; explanation facilities; and dynamic human intervention. The major areas covered include: alternative knowledge representation approaches; advanced user interface capabilities; computer-supported cooperative work; the evolution of information system hardware; standardization, compatibility, and connectivity; and organizational impacts of information intensive environments

ASPECTS OF THE INTELLECTUAL CAPITAL OF THE COMPANY IN THE INFORMATION TECHNOLOGY ERA

In nowadays economy the dynamic of the company relies on knowledge and the way it is put to work both by the management and operational personnel. Technological advances, mostly the information technology brings a new environment that foster the intellectual assets of the company. The understanding of the subject, its importance, and the ways the intellectual capital is sustained by technological and informational means are definitely matters that allow the company to succeed or to make it lose in the global competitionintellectual capital, information and communication technologies, process management, measuring indicators

On the role of Prognostics and Health Management in advanced maintenance systems

The advanced use of the Information and Communication Technologies is evolving the way that systems are managed and maintained. A great number of techniques and methods have emerged in the light of these advances allowing to have an accurate and knowledge about the systems’ condition evolution and remaining useful life. The advances are recognized as outcomes of an innovative discipline, nowadays discussed under the term of Prognostics and Health Management (PHM). In order to analyze how maintenance will change by using PHM, a conceptual model is proposed built upon three views. The model highlights: (i) how PHM may impact the definition of maintenance policies; (ii) how PHM fits within the Condition Based Maintenance (CBM) and (iii) how PHM can be integrated into Reliability Centered Maintenance (RCM) programs. The conceptual model is the research finding of this review note and helps to discuss the role of PHM in advanced maintenance systems.EU Framework Programme Horizon 2020, 645733 - Sustain-Owner - H2020-MSCA-RISE-201

Capture and Reuse of Knowledge in ICT-based Decisional Environments

Health care practitioners continually confront with a wide range of challenges, seeking to making difficult diagnoses, avoiding errors, ensuring highest quality, maximizing efficacy and reducing costs. Information technology has the potential to reduce clinical errors and to im-prove the decision making in the clinical milieu. This paper presents a pilot development of a clinical decision support systems (CDSS) entitled MEDIS that was designed to incorporate knowledge from heterogeneous environments with the purpose of increasing the efficiency and the quality of the decision making process, and reducing costs based on advances of in-formation technologies, especially under the impact of the transition towards the mobile space. The system aims to capture and reuse knowledge in order to provide real-time access to clinical knowledge for a variety of users, including medical personnel, patients, teachers and students.Clinical Decision Support Systems, Knowledge Management, Knowledge Interoperability, Mobile Interface, Object-relational Mapping

Data Science in Healthcare

Data science is an interdisciplinary field that applies numerous techniques, such as machine learning, neural networks, and deep learning, to create value based on extracting knowledge and insights from available data. Advances in data science have a significant impact on healthcare. While advances in the sharing of medical information result in better and earlier diagnoses as well as more patient-tailored treatments, information management is also affected by trends such as increased patient centricity (with shared decision making), self-care (e.g., using wearables), and integrated care delivery. The delivery of health services is being revolutionized through the sharing and integration of health data across organizational boundaries. Via data science, researchers can deliver new approaches to merge, analyze, and process complex data and gain more actionable insights, understanding, and knowledge at the individual and population levels. This Special Issue focuses on how data science is used in healthcare (e.g., through predictive modeling) and on related topics, such as data sharing and data management

An Implementation Process of Interoperability: A Case-Study of Health Information Systems (HIS)

Several advances have been made towards health information systems (HIS) use and implementations. However, these advances have not been matched by equal advances in HIS interoperability implementations. Current challenges in this domain are partly due to lack of implementation knowledge hence resulting into a number of failed HIS interoperability implementations. To gain substantive implementation knowledge on HIS interoperability projects, we have carried out interviews through an interpretive case-study approach to investigate a successful HIS interoperability project. Through this approach we propose an initial set of HIS interoperability implementation best practices comprising of these key processes: discovering interoperability need, projecting outcome, managing change and adopting an appropriate interoperability strategy which together depict a contingence management relationship. We conclude that this initial set of best practices contributes substantive knowledge that can guide future HIS interoperability implementations

Academic Knowledge Management Infrastructure: Information Systems Cybrarium

In what ways are advances in information technology likely to affect the processes of scientific research and publication? To study the issues we have developed a web-based knowledge management infrastructure which supports the creation, synthesis and application of scientific knowledge. The purpose of this paper is to present this infrastructure, which we call Cybrarium , and to highlight core issues such as approaches for the organization of scientific knowledge and likely changes to established publishing processes in an electronic environment