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Pursuing Data Modernization in Cancer Surveillance by Developing a Cloud-Based Computing Platform: Real-Time Cancer Case Collection.
Jones, David E; Alimi, Temitope O; Pordell, Paran; Tangka, Florence K; Blumenthal, Wendy; Jones, Sandra F; Rogers, Joseph D; Benard, Vicki B; Richardson, Lisa C.
  • Jones DE; Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA.
  • Alimi TO; Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA.
  • Pordell P; Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA.
  • Tangka FK; Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA.
  • Blumenthal W; Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA.
  • Jones SF; Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA.
  • Rogers JD; Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA.
  • Benard VB; Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA.
  • Richardson LC; Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA.
JCO Clin Cancer Inform ; 5: 24-29, 2021 01.
Article in English | MEDLINE | ID: covidwho-1067368
ABSTRACT
Cancer surveillance is a field focused on collection of data to evaluate the burden of cancer and apply public health strategies to prevent and control cancer in the community. A key challenge facing the cancer surveillance community is the number of manual tasks required to collect cancer surveillance data, thereby resulting in possible delays in analysis and use of the information. To modernize and automate cancer data collection and reporting, the Centers for Disease Control and Prevention is planning, developing, and piloting a cancer surveillance cloud-based computing platform (CS-CBCP) with standardized electronic reporting from laboratories and health-care providers. With this system, automation of the cancer case collection process and access to real-time cancer case data can be achieved, which could not be done before. Furthermore, the COVID-19 pandemic has illustrated the importance of continuity of operations plans, and the CS-CBCP has the potential to provide such a platform suitable for remote operations of central cancer registries.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Data Collection / Cloud Computing / Data Management / Neoplasms Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: North America Language: English Journal: JCO Clin Cancer Inform Year: 2021 Document Type: Article Affiliation country: CCI.20.00082

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Data Collection / Cloud Computing / Data Management / Neoplasms Type of study: Experimental Studies / Observational study Limits: Humans Country/Region as subject: North America Language: English Journal: JCO Clin Cancer Inform Year: 2021 Document Type: Article Affiliation country: CCI.20.00082