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DORSCON Orange: An Approach to Challenges in a Busy Antenatal Diagnostic Centre in the Midst of a Global Pandemic.
Sim, Wen Shan; Tan, June Vk; Zhang, Valencia Ry; Chong, Glenda Sl; Ku, Chee Wai; Tan, Kok Hian; Tan, Hak Koon; Yeo, George Sh; Tagore, Shephali.
  • Sim WS; Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Ann Acad Med Singap ; 49(9): 677-683, 2020 Sep.
Article in English | MEDLINE | ID: covidwho-972998
ABSTRACT
The WHO declared the coronavirus disease 2019 (COVID-19) a global pandemic on 11 March 2020. Lessons from SARS epidemic led Singapore to develop stringent infection control protocols in preparation for future pandemics. However, unlike SARS, COVID-19 appears to be more transmissible and is predicted to continue for longer. As of 14 June 2020, there have been 40,197 positive cases with 26 deaths in Singapore, and KK Women's and Children's Hospital (KKH) has managed a total of 73 cases. Obstetrics ultrasound is an indispensable medical service and must continue to operate during a pandemic. A key balance must be struck between keeping patients and healthcare workers safe while being able to provide quality and prompt obstetric care. Our Antenatal Diagnostic Centre (ADC) in KKH developed new strategies to adapt to the pandemic when the national Disease Outbreak Response System Condition (DORSCON) was raised from yellow to orange on 7 February 2020. In this paper, we discuss our clinical workflow to reduce the risk of transmission amongst patients and staff while minimising disruption to our services.
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Collection: International databases Database: MEDLINE Main subject: Personnel Staffing and Scheduling / Prenatal Care / Ultrasonography, Prenatal / Delivery of Health Care / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Topics: Long Covid Limits: Female / Humans / Pregnancy Country/Region as subject: Asia Language: English Journal: Ann Acad Med Singap Year: 2020 Document Type: Article Affiliation country: Singapore

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Collection: International databases Database: MEDLINE Main subject: Personnel Staffing and Scheduling / Prenatal Care / Ultrasonography, Prenatal / Delivery of Health Care / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Topics: Long Covid Limits: Female / Humans / Pregnancy Country/Region as subject: Asia Language: English Journal: Ann Acad Med Singap Year: 2020 Document Type: Article Affiliation country: Singapore