A visual task management application for acute ischemic stroke care

Shoji Matsumoto, Hiroshi Koyama, Ichiro Nakahara, Akira Ishii, Taketo Hatano, Tsuyoshi Ohta, Koji Tanaka, Mitsushige Ando, Hideo Chihara, Wataru Takita, Keisuke Tokunaga, Takuro Hashikawa, Yusuke Funakoshi, Takahiko Kamata, Eiji Higashi, Sadayoshi Watanabe, Daisuke Kondo, Atsushi Tsujimoto, Konosuke Furuta, Takuma IshiharaTetsuya Hashimoto, Junpei Koge, Kazutaka Sonoda, Takako Torii, Hideaki Nakagaki, Ryo Yamasaki, Izumi Nagata, Jun Ichi Kira

研究成果: ジャーナルへの寄稿記事

抄録

Background: To maximize the effect of intravenous (IV) thrombolysis and/or endovascular therapy (EVT) for acute ischemic stroke (AIS), stroke centers need to establish a parallel workflow on the basis of a code stroke (CS) protocol. At Kokura Memorial Hospital (KMH), we implemented a CS system in January 2014; however, the process of information sharing within the team has occasionally been burdensome. Objective: To solve this problem using information communication technology (ICT), we developed a novel application for smart devices, named “Task Calc. Stroke” (TCS), and aimed to investigate the impact of TCS on AIS care. Methods: TCS can visualize the real-time progress of crucial tasks for AIS on a dashboard by changing color indicators. From August 2015 to March 2017, we installed TCS at KMH and recommended its use during normal business hours (NBH). We compared the door-to-computed tomography time, the door-to-complete blood count (door-to-CBC) time, the door-to-needle for IV thrombolysis time, and the door-to-puncture for EVT time among three treatment groups, one using TCS (“TCS-based CS”), one not using TCS (“phone-based CS”), and one not based on CS (“non-CS”). A questionnaire survey regarding communication problems was conducted among the CS teams at 3 months after the implementation of TCS. Results: During the study period, 74 patients with AIS were transported to KMH within 4.5 h from onset during NBH, and 53 were treated using a CS approach (phone-based CS: 26, TSC-based CS: 27). The door-to-CBC time was significantly reduced in the TCS-based CS group compared to the phone-based CS group, from 31 to 19 min (p = 0.043). Other processing times were also reduced, albeit not significantly. The rate of IV thrombosis was higher in the TCS-based CS group (78% vs. 46%, p = 0.037). The questionnaire was correctly filled in by 34/38 (89%) respondents, and 82% of the respondents felt a reduction in communication burden by using the TCS application. Conclusions: TCS is a novel approach that uses ICT to support information sharing in a parallel CS workflow in AIS care. It shortens the processing times of critical tasks and lessens the communication burden among team members.

元の言語英語
記事番号1118
ジャーナルFrontiers in Neurology
10
発行部数OCT
DOI
出版物ステータス出版済み - 1 1 2019

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Stroke
Communication
Blood Cell Count
Workflow
Information Dissemination
Hospital Rapid Response Team
Technology
Punctures
Needles
Thrombosis
Therapeutics
Color

All Science Journal Classification (ASJC) codes

  • Neurology
  • Clinical Neurology

これを引用

Matsumoto, S., Koyama, H., Nakahara, I., Ishii, A., Hatano, T., Ohta, T., ... Kira, J. I. (2019). A visual task management application for acute ischemic stroke care. Frontiers in Neurology, 10(OCT), [1118]. https://doi.org/10.3389/fneur.2019.01118

A visual task management application for acute ischemic stroke care. / Matsumoto, Shoji; Koyama, Hiroshi; Nakahara, Ichiro; Ishii, Akira; Hatano, Taketo; Ohta, Tsuyoshi; Tanaka, Koji; Ando, Mitsushige; Chihara, Hideo; Takita, Wataru; Tokunaga, Keisuke; Hashikawa, Takuro; Funakoshi, Yusuke; Kamata, Takahiko; Higashi, Eiji; Watanabe, Sadayoshi; Kondo, Daisuke; Tsujimoto, Atsushi; Furuta, Konosuke; Ishihara, Takuma; Hashimoto, Tetsuya; Koge, Junpei; Sonoda, Kazutaka; Torii, Takako; Nakagaki, Hideaki; Yamasaki, Ryo; Nagata, Izumi; Kira, Jun Ichi.

:: Frontiers in Neurology, 巻 10, 番号 OCT, 1118, 01.01.2019.

研究成果: ジャーナルへの寄稿記事

Matsumoto, S, Koyama, H, Nakahara, I, Ishii, A, Hatano, T, Ohta, T, Tanaka, K, Ando, M, Chihara, H, Takita, W, Tokunaga, K, Hashikawa, T, Funakoshi, Y, Kamata, T, Higashi, E, Watanabe, S, Kondo, D, Tsujimoto, A, Furuta, K, Ishihara, T, Hashimoto, T, Koge, J, Sonoda, K, Torii, T, Nakagaki, H, Yamasaki, R, Nagata, I & Kira, JI 2019, 'A visual task management application for acute ischemic stroke care', Frontiers in Neurology, 巻. 10, 番号 OCT, 1118. https://doi.org/10.3389/fneur.2019.01118
Matsumoto S, Koyama H, Nakahara I, Ishii A, Hatano T, Ohta T その他. A visual task management application for acute ischemic stroke care. Frontiers in Neurology. 2019 1 1;10(OCT). 1118. https://doi.org/10.3389/fneur.2019.01118
Matsumoto, Shoji ; Koyama, Hiroshi ; Nakahara, Ichiro ; Ishii, Akira ; Hatano, Taketo ; Ohta, Tsuyoshi ; Tanaka, Koji ; Ando, Mitsushige ; Chihara, Hideo ; Takita, Wataru ; Tokunaga, Keisuke ; Hashikawa, Takuro ; Funakoshi, Yusuke ; Kamata, Takahiko ; Higashi, Eiji ; Watanabe, Sadayoshi ; Kondo, Daisuke ; Tsujimoto, Atsushi ; Furuta, Konosuke ; Ishihara, Takuma ; Hashimoto, Tetsuya ; Koge, Junpei ; Sonoda, Kazutaka ; Torii, Takako ; Nakagaki, Hideaki ; Yamasaki, Ryo ; Nagata, Izumi ; Kira, Jun Ichi. / A visual task management application for acute ischemic stroke care. :: Frontiers in Neurology. 2019 ; 巻 10, 番号 OCT.
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title = "A visual task management application for acute ischemic stroke care",
abstract = "Background: To maximize the effect of intravenous (IV) thrombolysis and/or endovascular therapy (EVT) for acute ischemic stroke (AIS), stroke centers need to establish a parallel workflow on the basis of a code stroke (CS) protocol. At Kokura Memorial Hospital (KMH), we implemented a CS system in January 2014; however, the process of information sharing within the team has occasionally been burdensome. Objective: To solve this problem using information communication technology (ICT), we developed a novel application for smart devices, named “Task Calc. Stroke” (TCS), and aimed to investigate the impact of TCS on AIS care. Methods: TCS can visualize the real-time progress of crucial tasks for AIS on a dashboard by changing color indicators. From August 2015 to March 2017, we installed TCS at KMH and recommended its use during normal business hours (NBH). We compared the door-to-computed tomography time, the door-to-complete blood count (door-to-CBC) time, the door-to-needle for IV thrombolysis time, and the door-to-puncture for EVT time among three treatment groups, one using TCS (“TCS-based CS”), one not using TCS (“phone-based CS”), and one not based on CS (“non-CS”). A questionnaire survey regarding communication problems was conducted among the CS teams at 3 months after the implementation of TCS. Results: During the study period, 74 patients with AIS were transported to KMH within 4.5 h from onset during NBH, and 53 were treated using a CS approach (phone-based CS: 26, TSC-based CS: 27). The door-to-CBC time was significantly reduced in the TCS-based CS group compared to the phone-based CS group, from 31 to 19 min (p = 0.043). Other processing times were also reduced, albeit not significantly. The rate of IV thrombosis was higher in the TCS-based CS group (78{\%} vs. 46{\%}, p = 0.037). The questionnaire was correctly filled in by 34/38 (89{\%}) respondents, and 82{\%} of the respondents felt a reduction in communication burden by using the TCS application. Conclusions: TCS is a novel approach that uses ICT to support information sharing in a parallel CS workflow in AIS care. It shortens the processing times of critical tasks and lessens the communication burden among team members.",
author = "Shoji Matsumoto and Hiroshi Koyama and Ichiro Nakahara and Akira Ishii and Taketo Hatano and Tsuyoshi Ohta and Koji Tanaka and Mitsushige Ando and Hideo Chihara and Wataru Takita and Keisuke Tokunaga and Takuro Hashikawa and Yusuke Funakoshi and Takahiko Kamata and Eiji Higashi and Sadayoshi Watanabe and Daisuke Kondo and Atsushi Tsujimoto and Konosuke Furuta and Takuma Ishihara and Tetsuya Hashimoto and Junpei Koge and Kazutaka Sonoda and Takako Torii and Hideaki Nakagaki and Ryo Yamasaki and Izumi Nagata and Kira, {Jun Ichi}",
year = "2019",
month = "1",
day = "1",
doi = "10.3389/fneur.2019.01118",
language = "English",
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journal = "Frontiers in Neurology",
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T1 - A visual task management application for acute ischemic stroke care

AU - Matsumoto, Shoji

AU - Koyama, Hiroshi

AU - Nakahara, Ichiro

AU - Ishii, Akira

AU - Hatano, Taketo

AU - Ohta, Tsuyoshi

AU - Tanaka, Koji

AU - Ando, Mitsushige

AU - Chihara, Hideo

AU - Takita, Wataru

AU - Tokunaga, Keisuke

AU - Hashikawa, Takuro

AU - Funakoshi, Yusuke

AU - Kamata, Takahiko

AU - Higashi, Eiji

AU - Watanabe, Sadayoshi

AU - Kondo, Daisuke

AU - Tsujimoto, Atsushi

AU - Furuta, Konosuke

AU - Ishihara, Takuma

AU - Hashimoto, Tetsuya

AU - Koge, Junpei

AU - Sonoda, Kazutaka

AU - Torii, Takako

AU - Nakagaki, Hideaki

AU - Yamasaki, Ryo

AU - Nagata, Izumi

AU - Kira, Jun Ichi

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Background: To maximize the effect of intravenous (IV) thrombolysis and/or endovascular therapy (EVT) for acute ischemic stroke (AIS), stroke centers need to establish a parallel workflow on the basis of a code stroke (CS) protocol. At Kokura Memorial Hospital (KMH), we implemented a CS system in January 2014; however, the process of information sharing within the team has occasionally been burdensome. Objective: To solve this problem using information communication technology (ICT), we developed a novel application for smart devices, named “Task Calc. Stroke” (TCS), and aimed to investigate the impact of TCS on AIS care. Methods: TCS can visualize the real-time progress of crucial tasks for AIS on a dashboard by changing color indicators. From August 2015 to March 2017, we installed TCS at KMH and recommended its use during normal business hours (NBH). We compared the door-to-computed tomography time, the door-to-complete blood count (door-to-CBC) time, the door-to-needle for IV thrombolysis time, and the door-to-puncture for EVT time among three treatment groups, one using TCS (“TCS-based CS”), one not using TCS (“phone-based CS”), and one not based on CS (“non-CS”). A questionnaire survey regarding communication problems was conducted among the CS teams at 3 months after the implementation of TCS. Results: During the study period, 74 patients with AIS were transported to KMH within 4.5 h from onset during NBH, and 53 were treated using a CS approach (phone-based CS: 26, TSC-based CS: 27). The door-to-CBC time was significantly reduced in the TCS-based CS group compared to the phone-based CS group, from 31 to 19 min (p = 0.043). Other processing times were also reduced, albeit not significantly. The rate of IV thrombosis was higher in the TCS-based CS group (78% vs. 46%, p = 0.037). The questionnaire was correctly filled in by 34/38 (89%) respondents, and 82% of the respondents felt a reduction in communication burden by using the TCS application. Conclusions: TCS is a novel approach that uses ICT to support information sharing in a parallel CS workflow in AIS care. It shortens the processing times of critical tasks and lessens the communication burden among team members.

AB - Background: To maximize the effect of intravenous (IV) thrombolysis and/or endovascular therapy (EVT) for acute ischemic stroke (AIS), stroke centers need to establish a parallel workflow on the basis of a code stroke (CS) protocol. At Kokura Memorial Hospital (KMH), we implemented a CS system in January 2014; however, the process of information sharing within the team has occasionally been burdensome. Objective: To solve this problem using information communication technology (ICT), we developed a novel application for smart devices, named “Task Calc. Stroke” (TCS), and aimed to investigate the impact of TCS on AIS care. Methods: TCS can visualize the real-time progress of crucial tasks for AIS on a dashboard by changing color indicators. From August 2015 to March 2017, we installed TCS at KMH and recommended its use during normal business hours (NBH). We compared the door-to-computed tomography time, the door-to-complete blood count (door-to-CBC) time, the door-to-needle for IV thrombolysis time, and the door-to-puncture for EVT time among three treatment groups, one using TCS (“TCS-based CS”), one not using TCS (“phone-based CS”), and one not based on CS (“non-CS”). A questionnaire survey regarding communication problems was conducted among the CS teams at 3 months after the implementation of TCS. Results: During the study period, 74 patients with AIS were transported to KMH within 4.5 h from onset during NBH, and 53 were treated using a CS approach (phone-based CS: 26, TSC-based CS: 27). The door-to-CBC time was significantly reduced in the TCS-based CS group compared to the phone-based CS group, from 31 to 19 min (p = 0.043). Other processing times were also reduced, albeit not significantly. The rate of IV thrombosis was higher in the TCS-based CS group (78% vs. 46%, p = 0.037). The questionnaire was correctly filled in by 34/38 (89%) respondents, and 82% of the respondents felt a reduction in communication burden by using the TCS application. Conclusions: TCS is a novel approach that uses ICT to support information sharing in a parallel CS workflow in AIS care. It shortens the processing times of critical tasks and lessens the communication burden among team members.

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