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1.
Future Healthc J ; 9(1): 87-89, 2022 Mar.
Article in English | MEDLINE | ID: covidwho-1776629

ABSTRACT

The high acuity of patients with COVID-19 during the pandemic in the city of New York correlated with an increased incidence of cardiac arrests and other emergent resuscitation scenarios requiring life-sustaining treatment. A spike in the utilisation of emergency crash cart medications was to be expected. The department of pharmacy at SUNY Downstate Health Sciences University optimised the use of an automated medication inventory management system with radio-frequency identification to assess usage and turnover of emergency crash carts; improve efficiency and turnaround times for crash cart dispatches; track drug consumption; and manage ongoing medication shortages during the peak of the COVID-19 pandemic. By capitalising on the utility and functionality of technology and automation, the institution was able to keep pace with acute patient care demands to prevent gaps in pharmaceutical care and medication management during emergency responses.

2.
23rd International Electronics Symposium, IES 2021 ; : 41-46, 2021.
Article in English | Scopus | ID: covidwho-1550743

ABSTRACT

The Online Health Consultation (OHC), which contains a QA collection of various diseases since 2014, has received an increasing number of visits due to the COVID-19. Based on the benefits and increasing health information need for people who seek information in OHC, health information related to precautionary measures to avoid diseases, especially high-risk diseases, become critical because not all seeker and readers of health information are diagnosed with certain diseases. However, It has currently unidentified whether the text of the doctor's answer corpus, especially in high-risk diseases, contains words that imply precautionary. This study aims to find the pattern of doctor's answer for high-risk diseases through the corpus of doctor's answer text on OHC by identifying whether the doctor's answer text contains words that imply precautionary against disease. Thus, it can help health information seekers and readers take precautionary against disease early on. This paper's contribution was to identify precautionary measures from doctor's answer text for high-risk disease in 2014-2021 using the best model of the two models, namely Single LDA (only LDA Method) and Hybrid LDA (a combination of LDA and Collapsed Gibbs Sampling). The results showed that the best model was Hybrid LDA, and medical experts identified groups of words with this model into four domains, namely symptoms/diagnosis, treatments, precautionary measurements, and general text. The pattern that emerges from the identification of precautionary measures shows (1) which precautionary measures are divided based on what disease, (2) Some words that mean precautionary measures also mean treatment or symptom/diagnosis. © 2021 IEEE.

3.
Asia Pacific Scholar ; 6(3):87-90, 2021.
Article in English | Academic Search Complete | ID: covidwho-1323529

ABSTRACT

Introduction: With the COVID-19 pandemic, Singapore underwent a national lockdown in which most organisations, including schools were closed. Halting face-to-face tutorials resulting in decreased clinical contact for medical students. Prior to the pandemic, we had developed the Virtual Integrated Patient (VIP). Equipped with conversational technology, it provides students online practice in various clinical skills such as history-taking, physical examination and investigations. The aim of this paper is to describe the supplementary use of VIP in the second-year class, in which a pilot study was conducted. Methods: The VIP platform was introduced to the cohort and used to supplement the teaching of history-taking in the "Communication with Patients" (CWP) module for second-year students. Traditionally, CWP tutorials involve face-to-face history-taking from standardised patients (SPs). Students, who consented to participating in the trial, had an additional 3 weeks' access to VIP to practice their history-taking skills. They completed a survey on their user experience and satisfaction at the end of the 3 weeks. Results: Out of the 106 participants, 87% strongly agreed or agreed that using VIP helped in remembering the content while 69% of them felt that VIP increased their confidence and competence in history-taking. Conclusion: VIP was well-received by students and showed promise as a tool to supplement history-taking tutorials, prior to students' encounter with SPs and real patients. Hence, this trend showed its potential as an alternative when clinical rotations were delayed or cancelled. Further research can be done to evaluate its effectiveness in this context. [ABSTRACT FROM AUTHOR] Copyright of Asia Pacific Scholar is the property of Centre for Medical Education (CenMed) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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