Shalini Arulanandam
Biographic Data
| ID | 7871577 |
|---|---|
| NAME | Shalini Arulanandam |
| GIVEN NAMES | Shalini |
| FAMILY NAME | Arulanandam |
| SIGNATURE | ARULANANDAM S |
| AFFILIATIONS | Ministry of Defence |
| ORCID | 0000-0001-5942-3874 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Improving Psychological Comfort of Paramedics for Field Termination of Resuscitation through Structured Training
This study examines the impact of a newly developed structured training on Singapore paramedics' psychological comfort before the implementation of a prehospital termination of resuscitation (TOR) protocol. Following a before and after study design, the paramedics underwent a self-administered questionnaire to assess their psychological comfort level applying the TOR protocol, 22 months before and one month after a 3-h structured training session…
Impact of Covid-19 on Out-of-Hospital Cardiac Arrest in Singapore
This study aimed to evaluate the impact of the Coronavirus Disease 2019 (COVID-19) pandemic on out-of-hospital cardiac arrest (OHCA) in Singapore. We used data from the Singapore Civil Defence Force to compare the incidence, characteristics and outcomes of all Emergency Medical Services (EMS)-attended adult OHCA during the pandemic (January-May 2020) and pre-pandemic (January-May 2018 and 2019) periods. Pre-hospital return of spontaneous circulat…
A Weakly-Supervised Named Entity Recognition Machine Learning Approach for Emergency Medical Services Clinical Audit
Clinical performance audits are routinely performed in Emergency Medical Services (EMS) to ensure adherence to treatment protocols, to identify individual areas of weakness for remediation, and to discover systemic deficiencies to guide the development of the training syllabus. At present, these audits are performed by manual chart review, which is time-consuming and laborious. In this paper, we report a weakly-supervised machine learning approac…
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Improving Psychological Comfort of Paramedics for Field Termination of Resuscitation through Structured Training
This study examines the impact of a newly developed structured training on Singapore paramedics' psychological comfort before the implementation of a prehospital termination of resuscitation (TOR) protocol. Following a before and after study design, the paramedics underwent a self-administered questionnaire to assess their psychological comfort level applying the TOR protocol, 22 months before and one month after a 3-h structured training session…
Impact of Covid-19 on Out-of-Hospital Cardiac Arrest in Singapore
This study aimed to evaluate the impact of the Coronavirus Disease 2019 (COVID-19) pandemic on out-of-hospital cardiac arrest (OHCA) in Singapore. We used data from the Singapore Civil Defence Force to compare the incidence, characteristics and outcomes of all Emergency Medical Services (EMS)-attended adult OHCA during the pandemic (January-May 2020) and pre-pandemic (January-May 2018 and 2019) periods. Pre-hospital return of spontaneous circulat…
A Weakly-Supervised Named Entity Recognition Machine Learning Approach for Emergency Medical Services Clinical Audit
Clinical performance audits are routinely performed in Emergency Medical Services (EMS) to ensure adherence to treatment protocols, to identify individual areas of weakness for remediation, and to discover systemic deficiencies to guide the development of the training syllabus. At present, these audits are performed by manual chart review, which is time-consuming and laborious. In this paper, we report a weakly-supervised machine learning approac…
Medicine (3 works) · Cardiac Arrest and Resuscitation (2 works) · Emergency and Acute Care Studies (2 works) · Emergency Medicine (2 works) · Resuscitation (2 works) · Artificial Intelligence (1 work) · Audit (1 work) · Cardiopulmonary resuscitation (1 work) · Chart (1 work) · Clinical audit (1 work)