Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Siang Li Chua"'
Autor:
Siang Li Chua, Wai Leng Chow
Publikováno v:
Proceedings of Singapore Healthcare, Vol 28 (2019)
Aim: No-shows are patients who miss scheduled specialist outpatient clinic (SOC) appointments. A predictive scoring model for the risk stratification of no-shows was developed to improve the utilisation of resources. Method: The administrative record
Externí odkaz:
https://doaj.org/article/65bc3be5541046e882b9a51ca1eb6c04
Autor:
Lin Pin Koh, Siang Li Chua, Shawn Vasoo, Matthias Paul Han Sim Toh, Jeremy Nicholas Cutter, Puay Hoon Nah, Yee‐Sin Leo, Jun Xin Tay, Barnaby Edward Young, David C. Lye, Sean W. X. Ong
Publikováno v:
Journal of Medical Virology. 95
Early treatment of high-risk COVID-19 patients may prevent disease progression. However, there is limited data to support treatment of hospitalized or fully-vaccinated patients with mild-to-moderate disease. In this retrospective cohort study, we stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61f4fc09576d8973b56ed2b409b424bf
https://doi.org/10.1002/jmv.28460
https://doi.org/10.1002/jmv.28460
Autor:
Barnaby Young, Siew-Wai Fong, Zi Wei Chang, Kai Sen Tan, Angeline Rouers, Yun Shan Goh, Douglas Jie Wen Tay, Sean W. X. Ong, Ying Hao, Siang Li Chua, Jean-Marc Chavatte, Lin Cui, Matthew Tay, Raymond Tzer Pin Lin, Laurent Renia, Yee-Sin Leo, Justin Jang Hann Chu, David Lye, Lisa Fong Poh Ng
BackgroundOn 26 November 2021, the World Health Organization designated the B.1.1.529 lineage of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) as the fifth variant of concern, Omicron. Infections have quickly spread worldwide, but unde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b89198e4cee0cbc4ed9b999fb7e16ff
https://doi.org/10.21203/rs.3.rs-1281925/v1
https://doi.org/10.21203/rs.3.rs-1281925/v1
Autor:
Sai Meng Tham, Siew‐Wai Fong, Zi-Wei Chang, Kai Sen Tan, Angeline Rouers, Yun Shan Goh, Douglas Jie Wen Tay, Sean Wei Xiang Ong, Ying Hao, Siang Li Chua, Jean-Marc Chavatte, Lin Cui, Matthew Zirui Tay, Raymond Tzer Pin Lin, Laurent Renia, Yee-Sin Leo, Justin Jang Hann Chu, David Chien Lye, Lisa F.P. Ng, Barnaby E. Young, PROTECT Cohort Study Group
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7464a6db530c5636d8e6aa33a969a428
https://doi.org/10.2139/ssrn.4142078
https://doi.org/10.2139/ssrn.4142078
Autor:
Lin Pin Koh, Siang Li Chua, Shawn Vasoo, Matthias Paul HS Toh, Jeremy Nicholas Cutter, Puay Hoon Nah, Yee-Sin Leo, Jun Xin Tay, Barnaby E. Young, David Chien Lye, Sean Wei Xiang Ong
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c97c2ec08d4ccab83f719f997a51d15
https://doi.org/10.2139/ssrn.4157470
https://doi.org/10.2139/ssrn.4157470
Autor:
Siang Li Chua, Wai Leng Chow
No-shows are patients who miss scheduled Specialist Outpatient Clinic (SOC) appointments. No-shows can impact patients' access to care and appointment lead time. This chapter describes a data-driven strategy of improving access to specialist care thr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8a1f1682916d4315133bbfa235c1ead
https://doi.org/10.4018/978-1-7998-0047-7.ch007
https://doi.org/10.4018/978-1-7998-0047-7.ch007
Autor:
Wai Leng Chow, Siang Li Chua
Publikováno v:
Proceedings of Singapore Healthcare, Vol 28 (2019)
Aim: No-shows are patients who miss scheduled specialist outpatient clinic (SOC) appointments. A predictive scoring model for the risk stratification of no-shows was developed to improve the utilisation of resources. Method: The administrative record
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fdfc03376cb03084a14568e0e6ae7db
https://doi.org/10.1177/2010105818793155
https://doi.org/10.1177/2010105818793155
Publikováno v:
Annals of the Academy of Medicine, Singapore. 38:501-507
Introduction: This paper aims to illustrate the use of computer simulation in evaluating the impact of a prototype automated dispensing system on waiting time in an outpatient pharmacy and its potential as a routine tool in pharmacy management. Mater
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d8a8bc2b77f6dccab88462369a8f2e9
https://doi.org/10.47102/annals-acadmedsg.v38n6p501
https://doi.org/10.47102/annals-acadmedsg.v38n6p501