Multitier architectures allow for ingestion, detection, and visualization of disease data across different system tiers. Disease surveillance systems use customizable forms for collecting standardized patient data, configurable vocabularies, and standardized workflows. These systems also aggregate detection alerts, map geographical clusters of diseases, and allow users to communicate and share information. Security and access controls are important to preserve privacy while ensuring data availability.

1. Multitier Architectures
Linking Disease and Bioterrorism
Surveillance
Ulysses Labilles
Health Informatics and
Surveillance (PUBH - 8270 - 2)
PROJECT5LabillesU

2. 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

3. 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
Standardand
ConfigurableVocabulary

4. DATAENTRY
WORKFLOWS
• 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

5. • 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.

6. INDIVIDUALALERTLISTINGS
• 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.

7. MappingAlerts
• 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

8. • It is essential for a disease surveillance system to interact
and response to user request
INFORMATION SYSTEM INTERFACE

9. VisualizingDataandInformation
• 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

10. COMMUNICATION
AMONGSURVEILLANCE
USERS
• 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.

11. 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.

12. 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