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                  <text>Volume 17 Issue 1 2024</text>
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              <name>Contributor</name>
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                  <text>peri irawan</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>An unexpected case of tetanus in a fully immunized 20‐year‐old female: a case report</text>
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                <text>Tetanus, Vaccination, Vaccinated</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Background Widespread vaccinations have significantly decreased the number of tetanus cases in developed coun-&#13;
tries. Today, most cases of tetanus affect the elderly and those with inadequate immunization in developed countries&#13;
&#13;
such as Japan. As vaccinations were believed to be nearly 100% effective in preventing tetanus, tetanus in young,&#13;
immunized individuals were considered unlikely. However, unexpected tetanus infection has been reported in young&#13;
adequately immunized individuals.&#13;
Case We herein describe a 20-year-old immunized female who visited our emergency department with trismus&#13;
and painful muscle spasms that started after receiving a puncture wound to her right foot. A physical examination&#13;
revealed an elevated body temperature (38°C), trismus, muscle spasms in her right leg and neck, and a puncture&#13;
wound at the sole of her right foot. Following the development of dyspnea after admission to the intensive care unit,&#13;
the patient was intubated and mechanically ventilated. She fully recovered after six days in intensive care.&#13;
Conclusion The present case serves as a stark reminder that tetanus may still occur in young, immunized individuals.&#13;
Patients with a history of immunization may have a better prognosis than those with no immunizations.&#13;
Keywords Tetanus, Vaccination, Vaccinated</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131868">
                <text>Mitsutoshi Okuda1*, Atsushi Morizane1&#13;
&#13;
, Sunao Asaba1&#13;
&#13;
, Saika Tsurui1&#13;
&#13;
, Ryutaro Tsuno1&#13;
&#13;
, Mariko Hatakenaka1&#13;
,&#13;
&#13;
Tomoko Sugimura1 and Yuichi Saisaka1</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="131869">
                <text>https://doi.org/10.1186/s12245-024-00633-1</text>
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          <element elementId="40">
            <name>Date</name>
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            <elementTextContainer>
              <elementText elementTextId="131870">
                <text>2024</text>
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          <element elementId="37">
            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131871">
                <text>Peri Irawan</text>
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          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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            <elementTextContainer>
              <elementText elementTextId="131873">
                <text>english</text>
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        <name>Tetanus, Vaccination, Vaccinated</name>
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                  <text>Volume 17 Issue 1 2024</text>
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            <element elementId="37">
              <name>Contributor</name>
              <description>An entity responsible for making contributions to the resource</description>
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                <elementText elementTextId="130913">
                  <text>peri irawan</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131855">
                <text>Diagnostic utility of capnography in emergency department triage for screening acidemia: a pilot study</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131856">
                <text>Capnography, End-tidal CO2, Respiration, Acidemia, Vital signs</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
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                <text>Abstract&#13;
Background Capnography is a quantitative and reliable method of determining the ventilatory status of patients.&#13;
We describe the test characteristics of capnography obtained during Emergency Department triage for screening&#13;
acidemia.&#13;
Results We performed an observational, pilot study of adult patients presenting to Emergency Department (ED)&#13;
triage. The primary outcome was acidemia, as determined by the basic metabolic panel and/or blood gas during the&#13;
ED visit. Secondary outcomes include comparison of estimated and measured respiratory rates (RR), relationships&#13;
between end-tidal CO2 (EtCO2) and venous partial pressure of CO2, admission disposition, in-hospital mortality during&#13;
admission, and capnogram waveform analysis. A total of 100 adult ED encounters were included in the study and&#13;
acidemia (&#13;
HCO−&#13;
3&#13;
&#13;
≤ 22mEq/L or pH &lt; 7.35) was identified in 28 patients. The measured respiratory rate (20.3 ±&#13;
6.4 breaths/min) was significantly different from the estimated rate (18.4 ± 1.6 breaths/min), and its area under the&#13;
receiver operating curve (c-statistic) to predict acidemia was only 0.60 (95% CI 0.51–0.75, p=0.03). A low end-tidal CO2&#13;
(EtCO2&lt;32 mmHg) had positive (LR+) and negative (LR−) likelihood ratios of 4.68 (95% CI 2.59–8.45) and 0.34 (95%&#13;
CI 0.19–0.61) for acidemia, respectively—corresponding to sensitivity 71.4% (95% CI 51.3–86.8) and specificity 84.7%&#13;
(95% CI 74.3–92.1). The c-statistic for EtCO2 was 0.849 (95% CI 0.76–0.94, p=0.00). Waveform analysis further revealed&#13;
characteristically abnormal capnograms that were associated with underlying pathophysiology.&#13;
Conclusions Capnography is a quantitative method of screening acidemia in patients and can be implemented&#13;
feasibly in Emergency Department triage as an adjunct to vital signs. While it was shown to have only modest ability&#13;
to predict acidemia, triage capnography has wide generalizability to screen other life-threatening disease processes&#13;
such as sepsis or can serve as an early indicator of clinical deterioration.&#13;
Keywords Capnography, End-tidal CO2, Respiration, Acidemia, Vital signs</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131858">
                <text>Paul Peng1* and Alex F. Manini2</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="131859">
                <text>https://doi.org/10.1186/s12245-024-00631-3</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131860">
                <text>2024</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="37">
            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131861">
                <text>Peri Irawan</text>
              </elementText>
            </elementTextContainer>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="131862">
                <text>pdf</text>
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          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131863">
                <text>english</text>
              </elementText>
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    <tagContainer>
      <tag tagId="15217">
        <name>Capnography, End-tidal CO2, Respiration, Acidemia, Vital signs</name>
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              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="130912">
                  <text>Volume 17 Issue 1 2024</text>
                </elementText>
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            <element elementId="37">
              <name>Contributor</name>
              <description>An entity responsible for making contributions to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="130913">
                  <text>peri irawan</text>
                </elementText>
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    <elementSetContainer>
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131823">
                <text>From symptom onset to ED departure: understanding the acute care chain for patients with undifferentiated complaints: a prospective observational study</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131824">
                <text>Acute care chain, Patient journey, Undifferentiated complaints</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131825">
                <text>Background For most acute conditions, the phase prior to emergency department (ED) arrival is largely unexplored.&#13;
However, this prehospital phase has proven an important part of the acute care chain (ACC) for specific time-sensitive&#13;
conditions, such as stroke and myocardial infarction. For patients with undifferentiated complaints, exploration of the&#13;
prehospital phase of the ACC may also offer a window of opportunity for improvement of care. This study aims to&#13;
explore the ACC of ED patients with undifferentiated complaints, with specific emphasis on time in ACC and patient&#13;
experience.&#13;
Methods This Dutch prospective observational study, included all adult (≥18 years) ED patients with undifferentiated&#13;
complaints over a 4-week period. We investigated the patients’ journey through the ACC, focusing on time in ACC&#13;
and patient experience. Additionally, a multivariable linear regression analysis was employed to identify factors&#13;
independently associated with time in ACC.&#13;
Results Among the 286 ED patients with undifferentiated complaints, the median symptom duration prior to ED visit&#13;
was 6 days (IQR 2–10), during which 58.6% of patients had contact with a healthcare provider before referral. General&#13;
Practitioners (GPs) referred 80.4% of the patients, with the predominant patient journey (51.7%) involving GP referral&#13;
followed by self-transportation to the ED. The median time in ACC was 5.5 (IQR 4.0-8.4) hours of which 40% was spent&#13;
before the ED visit. GP referral and referral to pulmonology were associated with a longer time in ACC, while referral&#13;
during evenings was associated with a shorter time in ACC. Patients scored both quality and duration of the provided&#13;
care an 8/10.&#13;
Conclusion Dutch ED patients with undifferentiated complaints consulted a healthcare provider in over half of the&#13;
cases before their ED visit. The median time in ACC is 5.5 h of which 40% is spent in the prehospital phase. Those&#13;
referred by a GP and to pulmonology had a longer, and those in the evening a shorter time in ACC. The acute care</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131826">
                <text>Lieke Claassen1*, Laura Magdalena Ritter1&#13;
&#13;
, Gideon Hubertus Petrus Latten1&#13;
&#13;
, Noortje Zelis2&#13;
&#13;
, Jochen Willo Lennert Cals3&#13;
&#13;
and Patricia Maria Stassen4</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="131827">
                <text>https://doi.org/10.1186/s12245-024-00629-x</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131828">
                <text>2024</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="37">
            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131829">
                <text>Peri Irawan</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="131830">
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          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131831">
                <text>english</text>
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    <tagContainer>
      <tag tagId="15214">
        <name>Acute care chain, Patient journey, Undifferentiated complaints</name>
      </tag>
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          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="130912">
                  <text>Volume 17 Issue 1 2024</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="37">
              <name>Contributor</name>
              <description>An entity responsible for making contributions to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="130913">
                  <text>peri irawan</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
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      </elementSetContainer>
    </collection>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131802">
                <text>Emergency department responses to nursing shortages</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131803">
                <text>COVID-19, Pandemics, Workforce, Nurses, Hospital emergency service</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131804">
                <text>Abstract&#13;
Background The COVID-19 pandemic exacerbated the nursing shortage, which is predicted to continue to worsen&#13;
&#13;
with significant numbers of nurses planning to retire within the next 5 years. There remains a lack of published infor-&#13;
mation regarding recommended interventions for emergency departments (EDs) facing a sudden nursing shortage.&#13;
&#13;
Methods We queried emergency department leaders from the American College of Emergency Physicians to exam-&#13;
ine the impact of nursing shortages on EDs and to gather real-world interventions employed to mitigate the effects&#13;
&#13;
of the shortage.&#13;
Results Most respondents (98.5%) reported nursing shortages, with 83.3% describing prolonged shortages lasting&#13;
more than 12 months, with negative impacts such as misses/near-misses (93.9%) and increasing left without being&#13;
&#13;
seen rates (90.9%). ED leaders reported a range of interventions, including operational flow changes, utilizing alterna-&#13;
tive staff to fill nurse roles, recruitment of new nurses, and retention strategies for existing nurses. They employed tem-&#13;
porary and permanent pay increases as well as efforts to improve the ED work environment and techniques to hire&#13;
&#13;
new nurses from atypical pipelines.&#13;
Conclusion We report a patchwork of solutions ED leaders utilized which may have variable efficacy among different&#13;
EDs; personalization is essential when selecting interventions during a sudden nursing shortage.&#13;
Keywords COVID-19, Pandemics, Workforce, Nurses, Hospital emergency service</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131805">
                <text>Nicole R. Hodgson1*, Richard Kwun2&#13;
&#13;
, Chad Gorbatkin3&#13;
&#13;
, Jeanie Davies4&#13;
&#13;
, Jonathan Fisher4 and on behalf of the&#13;
&#13;
ACEP Emergency Medicine Practice Committee</text>
              </elementText>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="131806">
                <text>https://doi.org/10.1186/s12245-024-00628-y</text>
              </elementText>
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            <name>Date</name>
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        <name>COVID-19, Pandemics, Workforce, Nurses, Hospital emergency service</name>
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                <text>An AI-based multiphase framework for improving the mechanical ventilation availability in emergency departments during respiratory disease seasons: a case study</text>
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                <text>Background Shortages of mechanical ventilation have become a constant problem in Emergency Departments&#13;
(EDs), thereby affecting the timely deployment of medical interventions that counteract the severe health&#13;
complications experienced during respiratory disease seasons. It is then necessary to count on agile and robust&#13;
methodological approaches predicting the expected demand loads to EDs while supporting the timely allocation of&#13;
ventilators. In this paper, we propose an integration of Artificial Intelligence (AI) and Discrete-event Simulation (DES)&#13;
to design effective interventions ensuring the high availability of ventilators for patients needing these devices.&#13;
&#13;
Methods First, we applied Random Forest (RF) to estimate the mechanical ventilation probability of respiratory-&#13;
affected patients entering the emergency wards. Second, we introduced the RF predictions into a DES model&#13;
&#13;
to diagnose the response of EDs in terms of mechanical ventilator availability. Lately, we pretested two different&#13;
interventions suggested by decision-makers to address the scarcity of this resource. A case study in a European&#13;
hospital group was used to validate the proposed methodology.&#13;
Results The number of patients in the training cohort was 734, while the test group comprised 315. The sensitivity&#13;
of the AI model was 93.08% (95% confidence interval, [88.46 −96.26%]), whilst the specificity was 85.45% [77.45&#13;
−91.45%]. On the other hand, the positive and negative predictive values were 91.62% (86.75 −95.13%) and 87.85%&#13;
(80.12 −93.36%). Also, the Receiver Operator Characteristic (ROC) curve plot was 95.00% (89.25 −100%). Finally,&#13;
the median waiting time for mechanical ventilation was decreased by 17.48% after implementing a new resource&#13;
capacity strategy.&#13;
Conclusions Combining AI and DES helps healthcare decision-makers to elucidate interventions shortening the&#13;
waiting times for mechanical ventilators in EDs during respiratory disease epidemics and pandemics.&#13;
Keywords Artificial Intelligence (AI), Random Forest (RF), Discrete-Event-Simulation (DES), Emergency Department&#13;
(ED), Mechanical ventilation, Healthcare</text>
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                <text>Miguel Ortiz-Barrios1,2*, Antonella Petrillo3&#13;
&#13;
, Sebastián Arias-Fonseca2&#13;
&#13;
, Sally McClean4&#13;
&#13;
, Fabio de Felice3&#13;
&#13;
, Chris Nugent4&#13;
&#13;
and Sheyla-Ariany Uribe-López5</text>
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                <text>Correction: Patient-controlled analgesia morphine for the management of acute pain in the emergency department: a systematic review and meta-analysis</text>
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The incorrect and correct versions of Fig. 8 are shown&#13;
below:&#13;
Incorrect&#13;
&#13;
Correct&#13;
The original article [1] has been corrected.</text>
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              <elementText elementTextId="131774">
                <text>Muhammad Baihaqi Oon1&#13;
&#13;
, Nik Nik Ab. Rahman Hisamuddin1,3*, Norhayati Mohd Noor2&#13;
&#13;
and Mohd Boniami Yazid1</text>
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                <text>https://doi.org/10.1186/s12245-024-00625-1</text>
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                <text>Bibliometric analysis of ChatGPT in medicine</text>
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                <text>The emergence of artificial intelligence (AI) chat programs has opened two distinct paths,</text>
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                <text>Abstract&#13;
Introduction The emergence of artificial intelligence (AI) chat programs has opened two distinct paths, one&#13;
enhancing interaction and another potentially replacing personal understanding. Ethical and legal concerns arise&#13;
due to the rapid development of these programs. This paper investigates academic discussions on AI in medicine,&#13;
analyzing the context, frequency, and reasons behind these conversations.&#13;
Methods The study collected data from the Web of Science database on articles containing the keyword “ChatGPT”&#13;
published from January to September 2023, resulting in 786 medically related journal articles. The inclusion criteria&#13;
were peer-reviewed articles in English related to medicine.&#13;
Results The United States led in publications (38.1%), followed by India (15.5%) and China (7.0%). Keywords such as&#13;
“patient” (16.7%), “research” (12%), and “performance” (10.6%) were prevalent. The Cureus Journal of Medical Science&#13;
(11.8%) had the most publications, followed by the Annals of Biomedical Engineering (8.3%). August 2023 had the&#13;
highest number of publications (29.3%), with significant growth between February to March and April to May. Medical&#13;
General Internal (21.0%) was the most common category, followed by Surgery (15.4%) and Radiology (7.9%).&#13;
Discussion The prominence of India in ChatGPT research, despite lower research funding, indicates the platform’s&#13;
popularity and highlights the importance of monitoring its use for potential medical misinformation. China’s interest&#13;
in ChatGPT research suggests a focus on Natural Language Processing (NLP) AI applications, despite public bans on&#13;
the platform. Cureus’ success in publishing ChatGPT articles can be attributed to its open-access, rapid publication&#13;
model. The study identifies research trends in plastic surgery, radiology, and obstetric gynecology, emphasizing the&#13;
need for ethical considerations and reliability assessments in the application of ChatGPT in medical practice.&#13;
Conclusion ChatGPT’s presence in medical literature is growing rapidly across various specialties, but concerns&#13;
related to safety, privacy, and accuracy persist. More research is needed to assess its suitability for patient care and&#13;
implications for non-medical use. Skepticism and thorough review of research are essential, as current studies may&#13;
face retraction as more information emerges.</text>
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              <elementText elementTextId="131742">
                <text>Sharanya Gande1&#13;
&#13;
, Murdoc Gould2&#13;
&#13;
and Latha Ganti3,4*</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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                <text>https://doi.org/10.1186/s12245-024-00624-2</text>
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                <text>Peri Irawan</text>
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                <text>Randomized controlled open-label trial&#13;
to evaluate prioritization software for the&#13;
secondary triage of patients in the pediatric&#13;
emergency department</text>
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                <text>Abstract&#13;
Background The continual increase in patient attendance at the emergency department (ED) is a worldwide health&#13;
issue. The aim of this study was to determine whether the use of a secondary prioritization software reduces the&#13;
patients’ median length of stay (LOS) in the pediatric ED.&#13;
Methods A randomized, controlled, open-label trial was conducted over a 30-day period between March 15th and&#13;
April 23rd 2021 at Lille University Hospital. Work days were randomized to use the patient prioritization software or the&#13;
pediatric ED’s standard dashboard. All time intervals between admission and discharge were recorded prospectively&#13;
by a physician not involved in patient care during the study period. The study’s primary endpoint was the LOS in&#13;
the pediatric ED, which was expected to be 15 min shorter in the intervention group than in the control group. The&#13;
secondary endpoints were specific time intervals during the stay in the pediatric ED and levels of staff satisfaction.&#13;
Results 1599 patients were included: 798 in the intervention group and 801 in the control group. The median&#13;
[interquartile range] LOS was 172 min [113–255] in the intervention group and 167 min [108–254) in the control&#13;
group (p=0.46). In the intervention group, the time interval between admission to the first medical evaluation for&#13;
high-priority patients and the time interval between the senior physician’s final evaluation and patient discharge were&#13;
shorter (p&lt;0.01). The median satisfaction score was 68 [55–80] (average).&#13;
Conclusion The patients’ total LOS was not significantly shorter on days of intervention. However, use of the&#13;
electronic patient prioritization tool was associated with significant decreases in some important time intervals during&#13;
care in the pediatric ED.</text>
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                <text>Thomas Lun1&#13;
&#13;
, Jessica Schiro2&#13;
&#13;
, Emeline Cailliau3&#13;
&#13;
, Julien Tchokokam1&#13;
&#13;
, Melany Liber1&#13;
&#13;
, Claire de Jorna1&#13;
&#13;
, Alain Martinot1,4&#13;
&#13;
and François Dubos1,4*</text>
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                <text>https://doi.org/10.1186/s12245-024-00623-3</text>
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                <text>Peri Irawan</text>
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        <name>Patient flow, Patient prioritization, Pediatric emergency department, Second triage, Usage assessment</name>
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                  <text>Volume 17 Issue 1 2024</text>
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                <text>The state of emergency medicine in Greece: at critical momentum</text>
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            <description>An account of the resource</description>
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                <text>Greece is a parliamentary republic in southeastern Europe populated by over 10 million permanent residents: 9&#13;
million reside on the mainland, with almost 4 million in the greater Athens area. The remaining 1 million populate&#13;
the over 1200 Greek islands. In addition, more than 160,000 asylum-seekers reached Greece in 2022, and more&#13;
than 25 million tourists have visited Greece in the last two years. Modern Greek Emergency Medicine (EM) is now in its&#13;
4th decade. The Greek government has focused the last few years on enhancing the quality of emergency services&#13;
provided in public hospitals. Emergency Departments (EDs) are being modernized, undergraduate medical education&#13;
gradually incorporates EM, and a specialty training program in emergency nursing has been established. However,&#13;
the late recognition of the critical importance of EM as a specialty in Greece has resulted in the subsequent need&#13;
&#13;
to create three alternative pathways to EM, none of which are direct from residency. The first is a 24-month Emer-&#13;
gency Medicine fellowship after completing a residency in another specialty and then passing the national exam.&#13;
&#13;
The second is for physicians who have worked in a public hospital ED (Gr: Ethniko Systima Ygeias (ESY) ESY for at least&#13;
three years and successfully passed the national exam. The third, which no longer exists, is a ‘grandfather’ pathway&#13;
for those physicians who worked in an ESY ED for five years prior to the creation of the fellowship training program.&#13;
As a result, there is a critical shortage of EM-trained physicians, resulting in most care being provided by physicians&#13;
without formal training in EM. This is further confounded by the country’s challenging geography, with frequent air&#13;
transfers from the islands to mainland hospitals. Creating an EM Residency training program is a critical next step&#13;
&#13;
to overcoming many of the challenges facing EM provision in Greece today: it would address the shortage of EM-&#13;
trained providers, decrease the need for costly ground and air transfers, and improve the quality of emergency care&#13;
&#13;
throughout Greece.</text>
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              <elementText elementTextId="131700">
                <text>Dimitrios Tsiftsis1*, Andrew Ulrich2&#13;
&#13;
, George Notas3&#13;
&#13;
, Anna Patrikakou4 and Eleanor Reid2</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="131701">
                <text>https://doi.org/10.1186/s12245-024-00622-4</text>
              </elementText>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131702">
                <text>2024</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="37">
            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131703">
                <text>Peri Irawan</text>
              </elementText>
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            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131705">
                <text>english</text>
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        <name>Emergency medicine development, Greece</name>
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              <elementTextContainer>
                <elementText elementTextId="130912">
                  <text>Volume 17 Issue 1 2024</text>
                </elementText>
              </elementTextContainer>
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              <name>Contributor</name>
              <description>An entity responsible for making contributions to the resource</description>
              <elementTextContainer>
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                  <text>peri irawan</text>
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          <element elementId="50">
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                <text>Single intravenous dose ondansetron induces QT prolongation in adult emergency department patients: a prospective observational study</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
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                <text>Ondansetron, QT prolongation, Prediction, Emergency department</text>
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                <text>Background Ondansetron is one of the most commonly used drugs in the emergency department (ED) for treating&#13;
nausea and vomiting, particularly in intravenous (IV) form. Nevertheless, it has been shown to prolong QT interval and&#13;
increase the risk of ventricular dysrhythmias. This study evaluated the associations between single IV ondansetron&#13;
dosage and subsequent QTc prolongation in the ED.&#13;
Methods In this prospective observational study, a total number of 106 patients presenting to the ED in a 3-month&#13;
period with nausea and vomiting treated with IV ondansetron were enrolled. QT and QTc intervals were measured at&#13;
baseline (QT0 and QTc0), and 60 min (QT60 and QTc60) following a single-dose administration of ondansetron at 4 or&#13;
8 mg doses. To evaluate the predictive ability of these variables, we employed receiver operating characteristic (ROC)&#13;
curve analyses.&#13;
Results The predictive models for QTc prolongation 1-hour post-ondansetron administration showed the following:&#13;
at baseline, the area under curve of 0.70 for QT, 0.71 for QTc, and 0.64 for dosage. Conversely, a QTc0=375 msec&#13;
indicated a QTc60&gt;480 msec with a specificity of 97%. Additionally, a QTc0 of 400 msec had a sensitivity of 100%&#13;
in predicting a QTc60&lt;480 msec, while a QTc0&gt;460 msec predicted a QTc60&gt;480 msec with a specificity of&#13;
98%. Moreover, 8 mg doses were associated with higher rates of QTc60 prolongation, while 4 mg doses favored&#13;
maintaining QTc60 within normal limits.&#13;
Conclusions Our study demonstrates the predictive capacity of QT0, QTc0, and ondansetron dosage in forecasting&#13;
QTc60 prolongation (&gt;480 msec) post-ondansetron administration. These findings advocate for their incorporation&#13;
into clinical protocols to enhance safety monitoring in adult ED patients.&#13;
Keywords Ondansetron, QT prolongation, Prediction, Emergency department</text>
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            <name>Creator</name>
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              <elementText elementTextId="131690">
                <text>Mohammad Rezaei Zadeh Rukerd1&#13;
&#13;
, Fatemeh Rafiei Shahrbabaki2&#13;
&#13;
, Mitra Movahedi2&#13;
&#13;
, Amin Honarmand2&#13;
,&#13;
&#13;
Pouria Pourzand2* and Amirhossein Mirafzal2*</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="131691">
                <text>https://doi.org/10.1186/s12245-024-00621-5</text>
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            <name>Date</name>
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            <elementTextContainer>
              <elementText elementTextId="131692">
                <text>2024</text>
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              <elementText elementTextId="131693">
                <text>Peri Irawan</text>
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              <elementText elementTextId="131694">
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                <text>english</text>
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        <name>Ondansetron, QT prolongation, Prediction, Emergency department</name>
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