The Experts below are selected from a list of 90 Experts worldwide ranked by ideXlab platform

Zhengkui Wang - One of the best experts on this subject based on the ideXlab platform.

  • An Automated Staff Roster Planning System (SRPS) For Healthcare Industry
    2019 20th IEEE ACIS International Conference on Software Engineering Artificial Intelligence Networking and Parallel Distributed Computing (SNPD), 2019
    Co-Authors: Jun Hong Tong, Mary Xiaorong Chen, Zhengkui Wang
    Abstract:

    This paper proposed an automated staff roster planning system (SRPS) for the healthcare sector with the objective to revolutionize the existing approach of manual staff roster planning by significantly reducing the number of man-hours used in the process of planning and minimizing the possibility of human error involved in the process. SRPS leverages on its subsystems, the staff Training Record management system (TRMS) and the leave projection system (LPS) to retrieve and process the competency and availability of staff that are Recorded earlier. It generates the feasible staff roster based on the existing available staff, their skillsets and the required skillsets of the workstations. SRPS also takes soft constraints into consideration during the staff to workstation allocation process. The key functionalities of the system are automated staff roster generation, pattern scheduling, constraint scheduling, Gale Shapley matching algorithm, drag and drop roster editing, interactive workstation compatibility feedback and on click export. Evaluation of SRPS shows improvement in terms of time efficiency and allocation optimization.

  • SNPD - An Automated Staff Roster Planning System (SRPS) For Healthcare Industry
    2019 20th IEEE ACIS International Conference on Software Engineering Artificial Intelligence Networking and Parallel Distributed Computing (SNPD), 2019
    Co-Authors: Jun Hong Tong, Mary Xiaorong Chen, Zhengkui Wang
    Abstract:

    This paper proposed an automated staff roster planning system (SRPS) for the healthcare sector with the objective to revolutionize the existing approach of manual staff roster planning by significantly reducing the number of man-hours used in the process of planning and minimizing the possibility of human error involved in the process. SRPS leverages on its subsystems, the staff Training Record management system (TRMS) and the leave projection system (LPS) to retrieve and process the competency and availability of staff that are Recorded earlier. It generates the feasible staff roster based on the existing available staff, their skillsets and the required skillsets of the workstations. SRPS also takes soft constraints into consideration during the staff to workstation allocation process. The key functionalities of the system are automated staff roster generation, pattern scheduling, constraint scheduling, Gale Shapley matching algorithm, drag and drop roster editing, interactive workstation compatibility feedback and on click export. Evaluation of SRPS shows improvement in terms of time efficiency and allocation optimization.

Jun Hong Tong - One of the best experts on this subject based on the ideXlab platform.

  • An Automated Staff Roster Planning System (SRPS) For Healthcare Industry
    2019 20th IEEE ACIS International Conference on Software Engineering Artificial Intelligence Networking and Parallel Distributed Computing (SNPD), 2019
    Co-Authors: Jun Hong Tong, Mary Xiaorong Chen, Zhengkui Wang
    Abstract:

    This paper proposed an automated staff roster planning system (SRPS) for the healthcare sector with the objective to revolutionize the existing approach of manual staff roster planning by significantly reducing the number of man-hours used in the process of planning and minimizing the possibility of human error involved in the process. SRPS leverages on its subsystems, the staff Training Record management system (TRMS) and the leave projection system (LPS) to retrieve and process the competency and availability of staff that are Recorded earlier. It generates the feasible staff roster based on the existing available staff, their skillsets and the required skillsets of the workstations. SRPS also takes soft constraints into consideration during the staff to workstation allocation process. The key functionalities of the system are automated staff roster generation, pattern scheduling, constraint scheduling, Gale Shapley matching algorithm, drag and drop roster editing, interactive workstation compatibility feedback and on click export. Evaluation of SRPS shows improvement in terms of time efficiency and allocation optimization.

  • SNPD - An Automated Staff Roster Planning System (SRPS) For Healthcare Industry
    2019 20th IEEE ACIS International Conference on Software Engineering Artificial Intelligence Networking and Parallel Distributed Computing (SNPD), 2019
    Co-Authors: Jun Hong Tong, Mary Xiaorong Chen, Zhengkui Wang
    Abstract:

    This paper proposed an automated staff roster planning system (SRPS) for the healthcare sector with the objective to revolutionize the existing approach of manual staff roster planning by significantly reducing the number of man-hours used in the process of planning and minimizing the possibility of human error involved in the process. SRPS leverages on its subsystems, the staff Training Record management system (TRMS) and the leave projection system (LPS) to retrieve and process the competency and availability of staff that are Recorded earlier. It generates the feasible staff roster based on the existing available staff, their skillsets and the required skillsets of the workstations. SRPS also takes soft constraints into consideration during the staff to workstation allocation process. The key functionalities of the system are automated staff roster generation, pattern scheduling, constraint scheduling, Gale Shapley matching algorithm, drag and drop roster editing, interactive workstation compatibility feedback and on click export. Evaluation of SRPS shows improvement in terms of time efficiency and allocation optimization.

Trudie Lang - One of the best experts on this subject based on the ideXlab platform.

  • clinical research in resource limited settings enhancing research capacity and working together to make trials less complicated
    PLOS Neglected Tropical Diseases, 2010
    Co-Authors: Trudie Lang, Nicholas J White, Tran Tinh Hien, Jeremy Farrar, Ray Fitzpatrick, Brian Angus, Emmanuelle Denis, Laura Merson, Phaik Yeong Cheah
    Abstract:

    Our aim is to raise awareness of the issues faced by researchers in developing countries and to introduce an initiative we are developing. We propose that the gaps and issues we have outlined could be largely addressed by building a community of researchers from all the various roles who will be able to access the information, guidance and resources they need, whilst also be able to share methods and pragmatic operational practices that have been locally derived and known to work. Some examples include template consent forms, data management systems, and example protocols and laboratory sample collection and handling methods. We emphasize that this initiative is entirely based on an ethos of collaboration, open access, and sharing practice; indeed it will only be successful if research groups both use the resource and contribute to its development. The development of a prototype of web site for this initiative is underway and can be found at http://pilot.globalhealthtrials.org/. We are making this public at this early juncture as we are seeking involvement from our colleagues right from the outset in line with the open and collaborative ethos that is envisaged. Therefore, we encourage colleagues to become part of this initiative by providing content, commenting on the Web site, and sharing their operational tools. We also welcome all those engaged in trials to register and build their own personal professional development Record to track their career and Training Record, and to provide a review structure.

Mary Xiaorong Chen - One of the best experts on this subject based on the ideXlab platform.

  • An Automated Staff Roster Planning System (SRPS) For Healthcare Industry
    2019 20th IEEE ACIS International Conference on Software Engineering Artificial Intelligence Networking and Parallel Distributed Computing (SNPD), 2019
    Co-Authors: Jun Hong Tong, Mary Xiaorong Chen, Zhengkui Wang
    Abstract:

    This paper proposed an automated staff roster planning system (SRPS) for the healthcare sector with the objective to revolutionize the existing approach of manual staff roster planning by significantly reducing the number of man-hours used in the process of planning and minimizing the possibility of human error involved in the process. SRPS leverages on its subsystems, the staff Training Record management system (TRMS) and the leave projection system (LPS) to retrieve and process the competency and availability of staff that are Recorded earlier. It generates the feasible staff roster based on the existing available staff, their skillsets and the required skillsets of the workstations. SRPS also takes soft constraints into consideration during the staff to workstation allocation process. The key functionalities of the system are automated staff roster generation, pattern scheduling, constraint scheduling, Gale Shapley matching algorithm, drag and drop roster editing, interactive workstation compatibility feedback and on click export. Evaluation of SRPS shows improvement in terms of time efficiency and allocation optimization.

  • SNPD - An Automated Staff Roster Planning System (SRPS) For Healthcare Industry
    2019 20th IEEE ACIS International Conference on Software Engineering Artificial Intelligence Networking and Parallel Distributed Computing (SNPD), 2019
    Co-Authors: Jun Hong Tong, Mary Xiaorong Chen, Zhengkui Wang
    Abstract:

    This paper proposed an automated staff roster planning system (SRPS) for the healthcare sector with the objective to revolutionize the existing approach of manual staff roster planning by significantly reducing the number of man-hours used in the process of planning and minimizing the possibility of human error involved in the process. SRPS leverages on its subsystems, the staff Training Record management system (TRMS) and the leave projection system (LPS) to retrieve and process the competency and availability of staff that are Recorded earlier. It generates the feasible staff roster based on the existing available staff, their skillsets and the required skillsets of the workstations. SRPS also takes soft constraints into consideration during the staff to workstation allocation process. The key functionalities of the system are automated staff roster generation, pattern scheduling, constraint scheduling, Gale Shapley matching algorithm, drag and drop roster editing, interactive workstation compatibility feedback and on click export. Evaluation of SRPS shows improvement in terms of time efficiency and allocation optimization.

Phaik Yeong Cheah - One of the best experts on this subject based on the ideXlab platform.

  • clinical research in resource limited settings enhancing research capacity and working together to make trials less complicated
    PLOS Neglected Tropical Diseases, 2010
    Co-Authors: Trudie Lang, Nicholas J White, Tran Tinh Hien, Jeremy Farrar, Ray Fitzpatrick, Brian Angus, Emmanuelle Denis, Laura Merson, Phaik Yeong Cheah
    Abstract:

    Our aim is to raise awareness of the issues faced by researchers in developing countries and to introduce an initiative we are developing. We propose that the gaps and issues we have outlined could be largely addressed by building a community of researchers from all the various roles who will be able to access the information, guidance and resources they need, whilst also be able to share methods and pragmatic operational practices that have been locally derived and known to work. Some examples include template consent forms, data management systems, and example protocols and laboratory sample collection and handling methods. We emphasize that this initiative is entirely based on an ethos of collaboration, open access, and sharing practice; indeed it will only be successful if research groups both use the resource and contribute to its development. The development of a prototype of web site for this initiative is underway and can be found at http://pilot.globalhealthtrials.org/. We are making this public at this early juncture as we are seeking involvement from our colleagues right from the outset in line with the open and collaborative ethos that is envisaged. Therefore, we encourage colleagues to become part of this initiative by providing content, commenting on the Web site, and sharing their operational tools. We also welcome all those engaged in trials to register and build their own personal professional development Record to track their career and Training Record, and to provide a review structure.