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Utilizing three-tier or multitier architectures in combination with thin client adaptability for rich user/mobile interfaces will amplify the three disease monitoring functions—ingestion, detection and visualization.
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Multitier ArchitecturesLinking Disease and Bioterrorism
Surveillance
Ulysses LabillesHealth Informatics and Surveillance (PUBH -
8270 - 2)PROJECT5LabillesU
Multi-tier Architecture in Disease Surveillance
• Multitier architectures in combination with thin client adaptability, amplifying the three disease monitoring functions—ingestion, detection and visualization.
Google Images (n.d.). Multi tier architecture in disease surveillance. Retrieved from http://goo.gl/TFqmle
Screen Shots | Caisis Oncology Data Management. (n.d.). Retrieved from http://www.caisis.org/features.html
• Highly customizable forms that allows the entry of chronological summary of patient history , auditing of data collection and user activity , and configurable views by disease.Caisis Oncology Data Management | Features. (n.d.). Retrieved from http://www.caisis.org/features.html
Sta
nd
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onfigu
rable
Voca
bu
lary
DATA
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RK
FLOW
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• Rapid development architecture to ease creation of new eforms which allows standardized workflows.
Caisis Oncology Data Management | Features. (n.d.). Retrieved from http://www.caisis.org/features.html
Screen Shots | Caisis Oncology Data Management. (n.d.). Retrieved from http://www.caisis.org/features.html
• CAISIS visualization components includes rapid report creation using configurable query files, full auditing of report views and exports. Support for robust charting integration of R statistic library for advanced functions.
IND
IVID
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RT
LIS
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• Aggregates detection algorithm alerts such as serious adverse event reporting, and outcomes management for Biomarker,
Soft Tissue, and Bone response.
Lombardo, J. S., & Buckeridge, D. L. (2007). Disease surveillance: a public health informatics approach. John Wiley & Sons.
Mapping A
lerts
• The ability to geographically locate clusters and map the data causing the alerts.
Lombardo, J. S., & Buckeridge, D. L. (2007). Disease surveillance: a public health informatics approach. John Wiley & Sons.
Screen Shots | Caisis Oncology Data Management. (n.d.). Retrieved from http://www.caisis.org/features.html
• It is essential for a disease surveillance system to interact and response to user request
INFORMATION SYSTEM INTERFACE
Visu
alizin
g D
ata
and
Info
rmatio
n
• Provide organization and contact management, graphical view of project progress, and trackingprotocol integration.
Caisis Oncology Data Management | Features. (n.d.). Retrieved from http://www.caisis.org/features.html
CO
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AM
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U
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• Communication capability within a disease surveillance system will allow users to share information about events.
Lombardo, J. S., & Buckeridge, D. L. (2007). Disease surveillance: a public health informatics approach. John Wiley & Sons.
Security
• It is important to follow both ethical and legal guidelines to preserve the confidentiality of patients, providers and public health authorities. It is equally important to ensure security of the data, and remain available to all authorized users.
References
Lombardo, J. S., & Buckeridge, D. L. (2007). Disease surveillance: a public health informatics approach. John Wiley & Sons.
Caisis Oncology Data Management | Features. (n.d.). Retrieved from http://www.caisis.org/features.html
Screen Shots | Caisis Oncology Data Management. (n.d.). Retrieved from http://www.caisis.org/features.html
Google Images (n.d.). Multi tier architecture in disease surveillance. Retrieved from http://goo.gl/TFqmle
