The Experts below are selected from a list of 282 Experts worldwide ranked by ideXlab platform
Lampros K Stergioulas - One of the best experts on this subject based on the ideXlab platform.
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an evaluation framework for health information systems Human Organization and technology fit factors hot fit
International Journal of Medical Informatics, 2008Co-Authors: Maryati Mohd Yusof, Jasna Kuljis, Anastasia Papazafeiropoulou, Lampros K StergioulasAbstract:BACKGROUND AND PURPOSE: The realization of Health Information Systems (HIS) requires rigorous evaluation that addresses technology, Human and Organization issues. Our review indicates that current evaluation methods evaluate different aspects of HIS and they can be improved upon. A new evaluation framework, Human, Organization and technology-fit (HOT-fit) was developed after having conducted a critical appraisal of the findings of existing HIS evaluation studies. HOT-fit builds on previous models of IS evaluation--in particular, the IS Success Model and the IT-Organization Fit Model. This paper introduces the new framework for HIS evaluation that incorporates comprehensive dimensions and measures of HIS and provides a technological, Human and Organizational fit. METHODS: Literature review on HIS and IS evaluation studies and pilot testing of developed framework. The framework was used to evaluate a Fundus Imaging System (FIS) of a primary care Organization in the UK. The case study was conducted through observation, interview and document analysis. RESULTS: The main findings show that having the right user attitude and skills base together with good leadership, IT-friendly environment and good communication can have positive influence on the system adoption. CONCLUSIONS: Comprehensive, specific evaluation factors, dimensions and measures in the new framework (HOT-fit) are applicable in HIS evaluation. The use of such a framework is argued to be useful not only for comprehensive evaluation of the particular FIS system under investigation, but potentially also for any Health Information System in general.
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Towards a Framework for Health Information Systems Evaluation
Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06), 2006Co-Authors: M.mohd. Yusof, R.j. Paul, Lampros K StergioulasAbstract:The evaluation of Health Information Systems (HIS) is crucial to ensure their effective implementation and positive impact on healthcare delivery. A review of HIS evaluation studies was carried out which indicated that the improvement of current methods is required. In order to satisfy this requirement, a new framework is introduced for the evaluation of Information Systems (IS) in healthcare settings. The proposed HOT-fit framework (Human, Organization and Technology-fit) was developed after having critically appraised the existing findings of HIS evaluation studies. It also builds on previous models of IS evaluation, in particular, the IS Success Model and the IT-Organization Fit Model. HOT-fit incorporates the concept of fit between technology, Human and Organization. The paper outlined the proposed methodology of a Fundus Imaging Systems in a primary care in the UK. The framework can be potentially used as a tool to conduct better and comprehensive HIS evaluation.
L. Nordmann - One of the best experts on this subject based on the ideXlab platform.
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Weighted voting systems
IEEE Transactions on Reliability, 1999Co-Authors: L. Nordmann, H. PhamAbstract:This paper deals with reliability and cost evaluation of weighted dynamic-threshold voting-systems. The particular voting system studied consists of n units that each provide a binary decision (0 or 1) or abstain from voting (x). The system output is 1 if the cumulative weight of all 1-opting units is at least a pre-specified fraction /spl tau/ of the cumulative weight of all nonabstaining units. Otherwise the system output is 0. Systems of this type are encountered in many areas ranging from target to pattern recognition, safety monitoring and Human Organization systems. These results for a voting system with a particular structure can easily be modified for other voting systems as well. A general mathematical model of this system is presented. However, its immense combinatorial complexity (even for small-scale and trivial systems) makes the model virtually inapplicable for real systems. By placing two restrictions on the generality of the model parameters, the model can be greatly simplified, which in turn makes the model applicable for evaluating systems of any size. The imposed restrictions are minor, and are fulfilled in most practical situations, so that the derivations in this paper are helpful for the design and analysis of practical, weighted dynamic-threshold voting-systems.
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Reliability of decision making in Human-Organizations
IEEE Transactions on Systems Man and Cybernetics - Part A: Systems and Humans, 1997Co-Authors: L. Nordmann, Hoang PhamAbstract:In a Human-Organization system with n officers, a decision has to be made on whether to accept or to reject an innovation-oriented proposal that can either be good or bad. Each officer will review a given set of available information regarding the proposal in question and will thereafter return his or her decision. In the common formulation of this problem, the Organization will accept the proposal if at least k officers decide for the project, where k is a prespecified threshold value. Hereby, each officer is subject to different errors and therefore, the final decision may be faulty as well. The reliability of such a system is the probability for the Organization to make the right decision. In this paper, by imposing weights for each officer, generalized problem formulations are introduced and formulas for the corresponding reliability are derived.
Milind Tambe - One of the best experts on this subject based on the ideXlab platform.
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Electric Elves: Immersing an Agent Organization in a Human Organization
2020Co-Authors: D Pynadath, Milind Tambe, Yigal Arens, Hans Chalupsky, Craig A. Knoblock, Kristina Lerman, Jean Oh, Surya RamachandranAbstract:Abstract : Future large-scale Human Organizations will be highly agentized, with software agents supporting the traditional tasks of information gathering, planning, and execution monitoring, as well as having increased control of resources and devices (communication and otherwise). As these heterogeneous software agents take on more of these activities, they will face the additional tasks of interfacing with people and sometimes acting as their proxies. Dynamic teaming of such heterogeneous agents will enable Organizations to act coherently, to robustly attain their mission goals, to react swiftly to crises, and to dynamically adapt to events. Advances in this agentization could potentially assist all Organizations, including the military, civilian disaster response Organizations, corporations, and universities and research institutions. Within an Organization, we envision that agent-based technology will facilitate (and sometimes supervise) all collaborative activities. For a research institution, agentization may facilitate such activities as meeting Organization, paper composition, software development, and deployment of people and equipment for out-of-town demonstrations. For a military Organization, agentization may enable the teaming of military units and equipment for rapid deployment, the monitoring of the progress of such deployments, and the rapid response to any crises that may arise. To accomplish such goals, we envision the presence of agent proxies for each person within an Organization. Thus, for instance, if an Organizational crisis requires an urgent deployment of a team of people and equipment, then agent proxies could dynamically volunteer for team membership on behalf of the people or resources they represent, while also ensuring that the selected team collectively possesses sufficient resources and capabilities.
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Electric Elves: Agent Technology for Supporting Human Organizations
Ai Magazine, 2002Co-Authors: Hans Chalupsky, D Pynadath, Craig A. Knoblock, Kristina Lerman, Jean Oh, Thomas A. Russ, Milind TambeAbstract:The operation of a Human Organization requires dozens of everyday tasks to ensure coherence in Organizational activities, to monitor the status of such activities, to gather information relevant to the Organization, to keep everyone in the Organization informed, etc. Teams of software agents can aid Humans in accomplishing these tasks, facilitating the Organization’s coherent functioning and rapid response to crises, while reducing the burden on Humans. Based on this vision, this paper reports on Electric Elves, a system that has been operational, 24/7, at our research institute since June 1, 2000. Tied to individual user workstations, fax machines, voice, mobile devices such as cell phones and palm pilots, Electric Elves has assisted us in routine tasks, such as rescheduling meetings, selecting presenters for research meetings, tracking people’s locations, organizing lunch meetings, etc. We discuss the underlying AI technologies that led to the success of Electric Elves, including technologies devoted to agentHuman interactions, agent coordination, accessing multiple heterogeneous information sources, dynamic assignment of Organizational tasks, and deriving information about Organization members. We also report the results of deploying Electric Elves in our own research Organization.
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IAAI - Electric Elves: Applying Agent Technology to Support Human Organizations
2001Co-Authors: Hans Chalupsky, D Pynadath, Craig A. Knoblock, Kristina Lerman, Jean Oh, Thomas A. Russ, Milind TambeAbstract:The operation of a Human Organization requires dozens of everyday tasks to ensure coherence in Organizational activities, to monitor the status of such activities, to gather information relevant to the Organization, to keep everyone in the Organization informed, etc. Teams of software agents can aid Humans in accomplishing these tasks, facilitating the Organization’s coherent functioning and rapid response to crises, while reducing the burden on Humans. Based on this vision, this paper reports on Electric Elves, a system that has been operational, 24/7, at our research institute since June 1, 2000. Tied to individual user workstations, fax machines, voice, mobile devices such as cell phones and palm pilots, Electric Elves has assisted us in routine tasks, such as rescheduling meetings, selecting presenters for research meetings, tracking people’s locations, organizing lunch meetings, etc. We discuss the underlying AI technologies that led to the success of Electric Elves, including technologies devoted to agentHuman interactions, agent coordination, accessing multiple heterogeneous information sources, dynamic assignment of Organizational tasks, and deriving information about Organization members. We also report the results of deploying Electric Elves in our own research Organization.
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Adjustable Autonomy in Real-World Multi-Agent Environments
Proceeding AGENTS '01 Proceedings of the fifth international conference on Autonomous agents, 2001Co-Authors: Paul Scerri, D Pynadath, Milind TambeAbstract:Through adjustable autonomy (AA), an agent can dynamically vary the degree to which it acts autonomously, allowing it to exploit Human abilities to improve its performance, but without becoming overly dependent and intrusive in its Human interaction. AA research is critical for successful deployment of multi-agent systems in support of important Human activities. While most previous AA work has focused on individual agent-Human interactions, this paper focuses on teams of agents operating in real-world Human Organizations. The need for agent teamwork and coordination in such environments introduces novel AA challenges. First, agents must be more judicious in asking for Human intervention, because, although Human input can prevent erroneous actions that have high team costs, one agent's inaction while waiting for a Human response can lead to potential miscoordination with the other agents in the team. Second, despite appropriate local decisions by individual agents, the overall team of agents can potentially make global decisions that are unacceptable to the Human team. Third, the diversity in real-world Human Organizations requires that agents gradually learn individualized models of the Human members, while still making reasonable decisions even before sufficient data are available. We address these challenges using a multi-agent AA framework based on an adaptive model of users (and teams) that reasons about the uncertainty, costs, and constraints of decisions at all levels of the team hierarchy, from the individual users to the overall Human Organization. We have implemented this framework through Markov decision processes, which are well suited to reason about the costs and uncertainty of individual and team actions. Our approach to AA has proven essential to the success of our deployed multi-agent Electric Elves system that assists our research group in rescheduling meetings, choosing presenters, tracking people's locations, and ordering meals.
Maryati Mohd Yusof - One of the best experts on this subject based on the ideXlab platform.
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an evaluation framework for health information systems Human Organization and technology fit factors hot fit
International Journal of Medical Informatics, 2008Co-Authors: Maryati Mohd Yusof, Jasna Kuljis, Anastasia Papazafeiropoulou, Lampros K StergioulasAbstract:BACKGROUND AND PURPOSE: The realization of Health Information Systems (HIS) requires rigorous evaluation that addresses technology, Human and Organization issues. Our review indicates that current evaluation methods evaluate different aspects of HIS and they can be improved upon. A new evaluation framework, Human, Organization and technology-fit (HOT-fit) was developed after having conducted a critical appraisal of the findings of existing HIS evaluation studies. HOT-fit builds on previous models of IS evaluation--in particular, the IS Success Model and the IT-Organization Fit Model. This paper introduces the new framework for HIS evaluation that incorporates comprehensive dimensions and measures of HIS and provides a technological, Human and Organizational fit. METHODS: Literature review on HIS and IS evaluation studies and pilot testing of developed framework. The framework was used to evaluate a Fundus Imaging System (FIS) of a primary care Organization in the UK. The case study was conducted through observation, interview and document analysis. RESULTS: The main findings show that having the right user attitude and skills base together with good leadership, IT-friendly environment and good communication can have positive influence on the system adoption. CONCLUSIONS: Comprehensive, specific evaluation factors, dimensions and measures in the new framework (HOT-fit) are applicable in HIS evaluation. The use of such a framework is argued to be useful not only for comprehensive evaluation of the particular FIS system under investigation, but potentially also for any Health Information System in general.
H. Pham - One of the best experts on this subject based on the ideXlab platform.
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Weighted voting systems
IEEE Transactions on Reliability, 1999Co-Authors: L. Nordmann, H. PhamAbstract:This paper deals with reliability and cost evaluation of weighted dynamic-threshold voting-systems. The particular voting system studied consists of n units that each provide a binary decision (0 or 1) or abstain from voting (x). The system output is 1 if the cumulative weight of all 1-opting units is at least a pre-specified fraction /spl tau/ of the cumulative weight of all nonabstaining units. Otherwise the system output is 0. Systems of this type are encountered in many areas ranging from target to pattern recognition, safety monitoring and Human Organization systems. These results for a voting system with a particular structure can easily be modified for other voting systems as well. A general mathematical model of this system is presented. However, its immense combinatorial complexity (even for small-scale and trivial systems) makes the model virtually inapplicable for real systems. By placing two restrictions on the generality of the model parameters, the model can be greatly simplified, which in turn makes the model applicable for evaluating systems of any size. The imposed restrictions are minor, and are fulfilled in most practical situations, so that the derivations in this paper are helpful for the design and analysis of practical, weighted dynamic-threshold voting-systems.