Three-Dimensional Disease Outbreak Surveillance System in a Tertiary Hospital in Singapore: A Proof of Concept
Objective: To develop an electronic surveillance system that provides prompt in-depth situational infectious disease risk and linkage analysis for inpatients in a tertiary hospital. Patients and Methods: All patients admitted to Singapore General Hospital (SGH), a 1900-bedded tertiary care hospital,...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | Mayo Clinic Proceedings: Digital Health |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949761223000263 |
| _version_ | 1797237850153943040 |
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| author | Indumathi Venkatachalam, FRACP Edwin Philip Conceicao, BSc Jean Xiang Ying Sim, MRCP Sean Douglas Whiteley, BIT Esther Xing Wei Lee, PhD Hui San Lim, BE Joseph Kin Meng Cheong, BE Shalvi Arora, BSc Andrew Hao Sen Fang, MMed Weien Chow, MRCP |
| author_facet | Indumathi Venkatachalam, FRACP Edwin Philip Conceicao, BSc Jean Xiang Ying Sim, MRCP Sean Douglas Whiteley, BIT Esther Xing Wei Lee, PhD Hui San Lim, BE Joseph Kin Meng Cheong, BE Shalvi Arora, BSc Andrew Hao Sen Fang, MMed Weien Chow, MRCP |
| author_sort | Indumathi Venkatachalam, FRACP |
| collection | DOAJ |
| description | Objective: To develop an electronic surveillance system that provides prompt in-depth situational infectious disease risk and linkage analysis for inpatients in a tertiary hospital. Patients and Methods: All patients admitted to Singapore General Hospital (SGH), a 1900-bedded tertiary care hospital, are included in routine surveillance. The 3-Dimensional Disease Outbreak Surveillance System (3D-DOSS) was developed to spatiotemporally represent inpatient surveillance data on a “digital twin” of SGH and evaluated for performance in surveillance, contact tracing, and outbreak investigations. This study was conducted over a 12 month period (October 1, 2020 to September 30, 2021). Results: The 3D-DOSS surveillance module identified an influenza cluster of 10 inpatients in November 2018, mapping retrospective data between September 2018 and December 2018. Seventy-six clusters of 2 or more linked patients with health care–associated Klebsiella pneumoniae carbapenemase–type carbapenemase-producing Enterobacteriaceae were detected in SGH in 2 years (2018 and 2019). The 3D-DOSS contact tracing module promptly identified 44 primary and 162 secondary inpatient contacts, after exposure to a health care worker with coronavirus disease 2019 in April 2021. For outbreak mapping, 24 patients with OXA-48 were mapped on October 22, 2020, using 3D-DOSS to determine their spatiotemporal distribution. Conclusion: The integration of health care data and representation on a virtual hospital digital twin is a useful tool in an outbreak alert and response framework. Infectious disease surveillance systems, which are syndrome-based, that can access real-time data, and can incorporate movement networks, can potentially enhance health care–associated infection prevention and preparedness for disease X. |
| first_indexed | 2024-04-24T17:26:18Z |
| format | Article |
| id | doaj.art-c9f44c4126c84e5b8c8282090abbe6e9 |
| institution | Directory Open Access Journal |
| issn | 2949-7612 |
| language | English |
| last_indexed | 2024-04-24T17:26:18Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Mayo Clinic Proceedings: Digital Health |
| spelling | doaj.art-c9f44c4126c84e5b8c8282090abbe6e92024-03-28T06:40:42ZengElsevierMayo Clinic Proceedings: Digital Health2949-76122023-06-0112172184Three-Dimensional Disease Outbreak Surveillance System in a Tertiary Hospital in Singapore: A Proof of ConceptIndumathi Venkatachalam, FRACP0Edwin Philip Conceicao, BSc1Jean Xiang Ying Sim, MRCP2Sean Douglas Whiteley, BIT3Esther Xing Wei Lee, PhD4Hui San Lim, BE5Joseph Kin Meng Cheong, BE6Shalvi Arora, BSc7Andrew Hao Sen Fang, MMed8Weien Chow, MRCP9Department of Infection Prevention and Epidemiology, Singapore General Hospital, Singapore, Singapore; Department of Infectious Diseases, Singapore General Hospital, Singapore, Singapore; Correspondence: Address to Indumathi Venkatachalam, FRACP, Department of Infection Prevention and Epidemiology (Epidemiology Section), Block 3, Level 3, Outram Road, Singapore General Hospital, Singapore 169608.Department of Infection Prevention and Epidemiology, Singapore General Hospital, Singapore, SingaporeDepartment of Infection Prevention and Epidemiology, Singapore General Hospital, Singapore, Singapore; Department of Infectious Diseases, Singapore General Hospital, Singapore, SingaporeAxoMem, Singapore, SingaporeSingHealth Office for Innovation, SingHealth, Singapore, SingaporeSingHealth Office for Innovation, SingHealth, Singapore, SingaporeBed Management Unit, Singapore General Hospital, Singapore, SingaporeDepartment of Infection Prevention and Epidemiology, Singapore General Hospital, Singapore, SingaporeDoctor Anywhere Operations Pte Ltd, Singapore, SingaporeDepartment of Cardiology, Changi General Hospital, Singapore, SingaporeObjective: To develop an electronic surveillance system that provides prompt in-depth situational infectious disease risk and linkage analysis for inpatients in a tertiary hospital. Patients and Methods: All patients admitted to Singapore General Hospital (SGH), a 1900-bedded tertiary care hospital, are included in routine surveillance. The 3-Dimensional Disease Outbreak Surveillance System (3D-DOSS) was developed to spatiotemporally represent inpatient surveillance data on a “digital twin” of SGH and evaluated for performance in surveillance, contact tracing, and outbreak investigations. This study was conducted over a 12 month period (October 1, 2020 to September 30, 2021). Results: The 3D-DOSS surveillance module identified an influenza cluster of 10 inpatients in November 2018, mapping retrospective data between September 2018 and December 2018. Seventy-six clusters of 2 or more linked patients with health care–associated Klebsiella pneumoniae carbapenemase–type carbapenemase-producing Enterobacteriaceae were detected in SGH in 2 years (2018 and 2019). The 3D-DOSS contact tracing module promptly identified 44 primary and 162 secondary inpatient contacts, after exposure to a health care worker with coronavirus disease 2019 in April 2021. For outbreak mapping, 24 patients with OXA-48 were mapped on October 22, 2020, using 3D-DOSS to determine their spatiotemporal distribution. Conclusion: The integration of health care data and representation on a virtual hospital digital twin is a useful tool in an outbreak alert and response framework. Infectious disease surveillance systems, which are syndrome-based, that can access real-time data, and can incorporate movement networks, can potentially enhance health care–associated infection prevention and preparedness for disease X.http://www.sciencedirect.com/science/article/pii/S2949761223000263 |
| spellingShingle | Indumathi Venkatachalam, FRACP Edwin Philip Conceicao, BSc Jean Xiang Ying Sim, MRCP Sean Douglas Whiteley, BIT Esther Xing Wei Lee, PhD Hui San Lim, BE Joseph Kin Meng Cheong, BE Shalvi Arora, BSc Andrew Hao Sen Fang, MMed Weien Chow, MRCP Three-Dimensional Disease Outbreak Surveillance System in a Tertiary Hospital in Singapore: A Proof of Concept Mayo Clinic Proceedings: Digital Health |
| title | Three-Dimensional Disease Outbreak Surveillance System in a Tertiary Hospital in Singapore: A Proof of Concept |
| title_full | Three-Dimensional Disease Outbreak Surveillance System in a Tertiary Hospital in Singapore: A Proof of Concept |
| title_fullStr | Three-Dimensional Disease Outbreak Surveillance System in a Tertiary Hospital in Singapore: A Proof of Concept |
| title_full_unstemmed | Three-Dimensional Disease Outbreak Surveillance System in a Tertiary Hospital in Singapore: A Proof of Concept |
| title_short | Three-Dimensional Disease Outbreak Surveillance System in a Tertiary Hospital in Singapore: A Proof of Concept |
| title_sort | three dimensional disease outbreak surveillance system in a tertiary hospital in singapore a proof of concept |
| url | http://www.sciencedirect.com/science/article/pii/S2949761223000263 |
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