Search Results - "Soeno, Shoko"

  • Showing 1 - 9 results of 9
Refine Results
  1. 1

    Development of novel optical character recognition system to reduce recording time for vital signs and prescriptions: A simulation-based study by Soeno, Shoko, Liu, Keibun, Watanabe, Shiruku, Sonoo, Tomohiro, Goto, Tadahiro

    Published in PloS one (19-01-2024)
    “…Digital advancements can reduce the burden of recording clinical information. This intra-subject experimental study compared the time and error rates for…”
    Get full text
    Journal Article
  2. 2

    Acceptance, Barriers, and Facilitators to Implementing Artificial Intelligence-Based Decision Support Systems in Emergency Departments: Quantitative and Qualitative Evaluation by Fujimori, Ryo, Liu, Keibun, Soeno, Shoko, Naraba, Hiromu, Ogura, Kentaro, Hara, Konan, Sonoo, Tomohiro, Ogura, Takayuki, Nakamura, Kensuke, Goto, Tadahiro

    Published in JMIR formative research (13-06-2022)
    “…Despite the increasing availability of clinical decision support systems (CDSSs) and rising expectation for CDSSs based on artificial intelligence (AI), little…”
    Get full text
    Journal Article
  3. 3

    Initial assessment in emergency departments by chief complaint and respiratory rate by Soeno, Shoko, Hara, Konan, Fujimori, Ryo, Hashimoto, Katsuhiko, Shirakawa, Toru, Sonoo, Tomohiro, Nakamura, Kensuke, Goto, Tadahiro

    Published in Journal of general and family medicine (01-07-2021)
    “…Background Understanding heterogeneity of the respiratory rate (RR) as a risk stratification marker across chief complaints is important to reduce…”
    Get full text
    Journal Article
  4. 4

    Validation of chief complaints, medical history, medications, and physician diagnoses structured with an integrated emergency department information system in Japan: the Next Stage ER system by Goto, Tadahiro, Hara, Konan, Hashimoto, Katsuhiko, Soeno, Shoko, Shirakawa, Toru, Sonoo, Tomohiro, Nakamura, Kensuke

    Published in Acute medicine & surgery (01-01-2020)
    “…Aim Emergency department information systems (EDIS) facilitate free‐text data use for clinical research; however, no study has validated whether the Next Stage…”
    Get full text
    Journal Article
  5. 5
  6. 6

    Clinical performance of early warning scoring systems for identifying sepsis among anti-hypertensive agent users by Osawa, Itsuki, Sonoo, Tomohiro, Soeno, Shoko, Hara, Konan, Nakamura, Kensuke, Goto, Tadahiro

    Published in The American journal of emergency medicine (01-10-2021)
    “…Little is known about the accuracy of the quick Sequential Organ Failure Assessment (qSOFA) and the National Early Warning Score (NEWS) in identifying sepsis…”
    Get full text
    Journal Article
  7. 7

    Risk factors of sepsis among patients with qSOFA<2 in the emergency department by Shibata, Junichiro, Osawa, Itsuki, Ito, Honoka, Soeno, Shoko, Hara, Konan, Sonoo, Tomohiro, Nakamura, Kensuke, Goto, Tadahiro

    Published in The American journal of emergency medicine (01-12-2021)
    “…Studies have suggested that qSOFA can be used for early detection of sepsis immediately upon arrival at the emergency department (ED). Despite this, little is…”
    Get full text
    Journal Article
  8. 8

    Association of Initial Potassium Levels with the Type of Stroke in the Emergency Department by Fukaguchi, Kiyomitsu, Yamagami, Hiroshi, Soeno, Shoko, Hara, Konan, Shirakawa, Toru, Sonoo, Tomohiro, Nakamura, Kensuke, Goto, Tadahiro

    “…•While serum potassium level is known a marker of cardiovascular emergency, little is known about whether serum potassium levels differ across types of stroke…”
    Get full text
    Journal Article
  9. 9