Handover Process

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Jason M Kane - One of the best experts on this subject based on the ideXlab platform.

  • standardized multidisciplinary protocol improves Handover of cardiac surgery patients to the intensive care unit
    Pediatric Critical Care Medicine, 2011
    Co-Authors: Brian F Joy, Emily Elliott, Courtney A Hardy, Christine Sullivan, Carl L Backer, Jason M Kane
    Abstract:

    OBJECTIVES To determine whether the implementation of a standardized Handover protocol could reduce the number of errors occurring during patient transitions from the operating room to the intensive care unit. DESIGN Prospective, interventional study. SETTING Pediatric cardiac intensive care unit. SUBJECTS Seventy-nine patient Handovers in patients transitioning from the operating room to the cardiac intensive care unit after congenital cardiac surgery. INTERVENTIONS A preintervention assessment of patient Handovers was obtained by direct observation using a standardized checklist. A teamwork-driven Handover Process and protocol was developed using traditional and novel quality-improvement techniques. The postimplementation observational assessment of Handovers was performed using the same preintervention assessment tool. Preintervention and postintervention data metrics were analyzed and compared. MEASUREMENTS AND MAIN RESULTS Forty-one and 38 observations were performed in the preintervention and postintervention periods, respectively. Protocol implementation improved key areas of the Handover Process. Technical errors per Handover were reduced from 6.24 to 1.52 (p < .0001), and critical verbal handoff information omissions were reduced from 6.33 to 2.38 (p < .0001) per Handover. There was no change in duration of either the verbal handoff briefing or the overall Handover Process. Caregivers noted improvement in teamwork and handoff content received after the intervention. CONCLUSIONS A formal, structured Handover Process for pediatric patients transitioning to the intensive care unit after cardiac surgery can reduce medical errors that occur during the admission Process and improve teamwork among caregivers.

Zena L Harris - One of the best experts on this subject based on the ideXlab platform.

Taesoo Kwon - One of the best experts on this subject based on the ideXlab platform.

  • fast Handover scheme for real time downlink services in ieee 802 16e bwa system
    Vehicular Technology Conference, 2005
    Co-Authors: Sik Choi, Gyungho Hwang, Taesoo Kwon
    Abstract:

    IEEE 802.16 WirelessMAN aiming to broadband wireless access (BWA) is evolving to 4G mobile communication systems through the standardization of IEEE 802.16e supporting mobility on existing fixed WirelessMAN systems. Because IEEE 802.16e system is based on OFDM(A) technology, a mobile subscriber station (MSS) basically conducts hard Handover operation when it moves to another base station (BS). Therefore, the MSS is not able to send or receive the data during Handover Process and these data should be delayed. As a result, real-time packet could be dropped by Handover delay. In this paper, we propose an enhanced link-layer Handover algorithm that an MSS can receive downlink data before synchronization with uplink during Handover Process. Our proposed scheme reduces data transmission delay and packet loss probability for real-time downlink service.

Tianyi Zeng - One of the best experts on this subject based on the ideXlab platform.

  • a universal predictive mobility management scheme for urban ultra dense networks with control data plane separation
    IEEE Access, 2017
    Co-Authors: Yang Sun, Yongyu Chang, Tianyi Zeng
    Abstract:

    In recent years, a new concept of network architecture with control/data plane separation is introduced to the future network, which can effectively improve the mobility robustness and reduce the Handover failure by providing the data plane services under the umbrella of a macro cell coverage layer. However, in the ultra dense network, frequent data plane Handovers would still introduce huge signaling exchanges and latencies. In this paper, we propose a universal predictive mobility management scheme for urban ultra-dense networks to speed up the data plane Handover Process. We utilize the probability suffix tree model to save and analyze the transition relationships between small cells in terms of variable markov chains, and pre-configure a cluster of small cells with larger Handover probabilities for the users. To accommodate different versions of the users, a compatible network-controlled predictive mobility management procedure and an advanced user-autonomous predictive mobility management procedure are proposed to support the proposed predictive mobility management scheme. The simulation results show that the proposed scheme can significantly improve the prediction accuracy with a lower redundant configuration cost and can effectively speed up the data plane Handover Process compared with the traditional mobility management.

Brian F Joy - One of the best experts on this subject based on the ideXlab platform.

  • standardized multidisciplinary protocol improves Handover of cardiac surgery patients to the intensive care unit
    Pediatric Critical Care Medicine, 2011
    Co-Authors: Brian F Joy, Emily Elliott, Courtney A Hardy, Christine Sullivan, Carl L Backer, Jason M Kane
    Abstract:

    OBJECTIVES To determine whether the implementation of a standardized Handover protocol could reduce the number of errors occurring during patient transitions from the operating room to the intensive care unit. DESIGN Prospective, interventional study. SETTING Pediatric cardiac intensive care unit. SUBJECTS Seventy-nine patient Handovers in patients transitioning from the operating room to the cardiac intensive care unit after congenital cardiac surgery. INTERVENTIONS A preintervention assessment of patient Handovers was obtained by direct observation using a standardized checklist. A teamwork-driven Handover Process and protocol was developed using traditional and novel quality-improvement techniques. The postimplementation observational assessment of Handovers was performed using the same preintervention assessment tool. Preintervention and postintervention data metrics were analyzed and compared. MEASUREMENTS AND MAIN RESULTS Forty-one and 38 observations were performed in the preintervention and postintervention periods, respectively. Protocol implementation improved key areas of the Handover Process. Technical errors per Handover were reduced from 6.24 to 1.52 (p < .0001), and critical verbal handoff information omissions were reduced from 6.33 to 2.38 (p < .0001) per Handover. There was no change in duration of either the verbal handoff briefing or the overall Handover Process. Caregivers noted improvement in teamwork and handoff content received after the intervention. CONCLUSIONS A formal, structured Handover Process for pediatric patients transitioning to the intensive care unit after cardiac surgery can reduce medical errors that occur during the admission Process and improve teamwork among caregivers.