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Pursuing Data Modernization in Cancer Surveillance by Developing a Cloud-Based Computing Platform: Real-Time Cancer
David E Jones1, Temitope O Alimi1, Paran Pordell1
1Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA.
JCO Clinical Cancer Informatics
|January 7, 2021
Summary
The Centers for Disease Control and Prevention is developing a cloud-based platform to automate cancer data collection. This aims to improve efficiency and provide real-time data for public health cancer control.
Area of Science:
- Public Health
- Cancer Epidemiology
- Health Informatics
Background:
- Cancer surveillance involves manual data collection, leading to delays in analysis and public health interventions.
- The COVID-19 pandemic highlighted the need for robust, remote-operable public health systems.
Purpose of the Study:
- To modernize and automate cancer data collection and reporting processes.
- To establish a cloud-based platform for efficient cancer surveillance.
Main Methods:
- Developing and piloting a cloud-based computing platform (CS-CBCP).
- Implementing standardized electronic reporting from laboratories and healthcare providers.
- Focusing on automation of cancer case collection and real-time data access.
Main Results:
- The CS-CBCP facilitates automation of cancer case collection.
- Enables access to real-time cancer case data, improving timeliness.
- Provides a platform suitable for remote operations of central cancer registries.
Conclusions:
- The cancer surveillance cloud-based computing platform (CS-CBCP) can significantly enhance cancer data collection efficiency.
- Real-time data access and remote operability are key benefits for cancer registries.
- This modernization is crucial for timely public health strategies in cancer prevention and control.
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