Multipurpose Information System Research Articles

Design and Implementation of a Multipurpose Information System for Hematopoietic Stem-Cell Transplantation on the Basis of the Biomedical Research Integrated Domain Group Model.

An important obstacle to cancer research is that nearly all academic cancer centers maintain substantial collections of highly duplicative, poorly quality-assured, nonintercommunicating, difficult-to-access data repositories. It is inherently clear that this state of affairs increases costs and reduces quality and productivity of both research and nonresearch activities. We hypothesized that designing and implementing a multipurpose cancer information system on the basis of the Biomedical Research Integrated Domain (BRIDG) model developed by the National Cancer Institute and its collaborators might lessen the duplication of effort inherent in capturing, quality-assuring, and accessing data located in multiple single-purpose systems, and thereby increases productivity while reducing costs. We designed and implemented a core data structure on the basis of the BRIDG model and incorporated multiple entities, attributes, and functionalities to support the multipurpose functionality of the system. We used the resultant model as a foundation upon which to design and implement modules for importing preexisting data, capturing data prospectively, quality-assuring data, exporting data to analytic files, and analyzing the quality-assured data to support multiple functionalities simultaneously. To our knowledge, our system, which we refer to as the Cancer Informatics Data System, is the first multipurpose, BRIDG-harmonized cancer research information system implemented at an academic cancer center. We describe the BRIDG-harmonized system that simultaneously supports patient care, teaching, research, clinical decision making, administrative decision making, mandated volume-and-outcomes reporting, clinical quality assurance, data quality assurance, and many other functionalities. Implementation of a highly quality-assured, multipurpose cancer information system on the basis of the BRIDG model at an academic center is feasible and can increase access to accurate data to support research integrity and productivity as well as nonresearch activities.

Monitoring the innovative potential of enterprises

The aim of the article is to consider the issue of monitoring the innovative potential of enterprises. In modern conditions, the innovative activity provides competitive advantages to any enterprise, but the most significant successes are achieved by enterprises that are purposefully engaged in the development, implementation, maintenance, and use of innovations. Various changes affect the innovative activity of enterprises, and therefore it is necessary to constantly monitor and analyze the innovative potential of enterprises. As a result of the study, the authors found that monitoring is a multi-purpose information system with active goal-setting, therefore, during implementation, the specifics of its implementation should be taken into account, the tasks, the conceptual framework and the implementation mechanism should be formed. The procedures for monitoring the formation, development and rational use of innovative potential should be carried out in a certain sequence, with a set of indicators recorded at each stage, followed by an analysis of the causes of the inconsistencies, documentation and interpretation of the results. In addition, the monitoring procedures should use modern technologies for processing data sets that contribute to the development of justified management decisions. This approach to monitoring will ensure effective management decisions on the formation, development and rational use of the innovative potential of enterprises. As a result the innovative activity of enterprises should be carried out using modern methods and tools for monitoring the state of innovative potential for the development of justified management decisions.

Comparing Utilitarian and Hedonic Usefulness to User Intention in Multipurpose Information Systems

Comparing Utilitarian and Hedonic Usefulness to User Intention in Multipurpose Information Systems

Comparing Utilitarian and Hedonic Usefulness to User Intention in Multipurpose Information Systems

This research studies the differences between productivity-oriented (or utilitarian) and entertainment-oriented (or hedonic) usefulness for a multipurpose information system in user acceptance models, as information systems can be high or low in both hedonic and utilitarian attributes. Accordingly, perceived usefulness (PU) is divided into perceived utilitarian usefulness (PUU) and perceived hedonic usefulness (PHU) to provide a better understanding of users' intention for accepting IT. To test the proposed model more effectively, this research targets instant messaging (IM), which is an extremely popular and increasingly important communication system, both utilitarian and hedonic in nature. This research compares the difference across two groups: students for hedonic purpose and employees for utilitarian purpose. We conclude that the proposed model, which distinguishes between utilitarian and hedonic usefulness, is more effective than previous models in which the usefulness was not distinguished. Both PUU and PHU have an effect on intention to use. Employees consider PUU more important in their intention to use IM, while students are more influenced by PHU.

Development and implementation of a multi-centre information system for paediatric and infant critical care.

With no UK collective information system, a need existed to establish an integrated information system for public and private sector hospitals providing paediatric and infant critical care services. A lack of information in the past made it difficult for those procuring, providing and monitoring services to make informed, evidence-based decisions using reliable integrated data. To develop and implement a collective multi-purpose information system for paediatric and infant critical care that was easily adaptable to any UK infant or paediatric critical care setting. Information outputs had to fulfil policy requirements and meet the needs of stakeholders. Two minimum datasets, corresponding data definitions, survey forms and a user database were developed through a process of consultation by utilising an information partnership. Design, content, development and implementation issues were identified, discussed and resolved through a co-ordinated collaborative process. Data collection was implemented in all London and Brighton National Health Service (NHS) general and cardio-thoracic paediatric intensive care (PIC) units, several private PIC units and one NHS tertiary referral neonatal unit (NNU) 24 months from project start. The development of universal integrated information systems for defined settings of care is achievable within reasonable timeframes; however, successful development and implementation requires working within an information partnership to maximise co-ordination, co-operation and collaboration. Those collecting and using data must be identified and involved in all aspects of development from project start. Financial and manpower resources must be well planned. Datasets should be as small as possible in order to make the collection of complete and valid data realistically achievable. When considering service-based information needs, considerable thought should be given to a multi-purpose; multi-use approach based on the most refined minimum dataset possible.

Strategy for Building a Location-Specific, Multi-Purpose Information System for Wildland Management

Abstract Contemporary legal, political, and economic considerations mandate improved and sophisticated use of land-management information. An analytical, location-specific, multi-purpose information system at the local level can be based on the application of explicit models, or "rules," to a set of objectively defined biological, physical, and human-use descriptors of the land. Practical requirements for implementing the system include conducting an information needs assessment, setting an agenda for system elements, establishing a computer system, organizationally taking a shared rather than purely functional approach, and, most importantly, making some high-level strategic decisions to initiate the system.