Cancer surveillance using data warehousing, data mining, and decision support systems.
This article discusses how data warehousing, data mining, and decision support systems can reduce the national cancer burden or the oral complications of cancer therapies, especially as related to oral and pharyngeal cancers. An information system is presented that will deliver the necessary information technology to clinical, administrative, and policy researchers and analysts in an effective and efficient manner. The system will deliver the technology and knowledge that users need to readily: (1) organize relevant claims data, (2) detect cancer patterns in general and special populations, (3) formulate models that explain the patterns, and (4) evaluate the efficacy of specified treatments and interventions with the formulations. Such a system can be developed through a proven adaptive design strategy, and the implemented system can be tested on State of Maryland Medicaid data (which includes women, minorities, and children).
Forgionne
G A
GA
Information Systems Department, University of Maryland Baltimore County, Catonsville, USA.
Gangopadhyay
A
A
Adya
M
M
D003628:Database Management Systems; D003661:Decision Support Techniques; D005103:Expert Systems; D006801:Humans; D007344:Insurance Claim Reporting; D008396:Maryland; D009369:Neoplasms / Q000453:epidemiology*; D011159:Population Surveillance; D012109:Research Support as Topic; D018511:Systems Integration; D014481:United States / Q000453:epidemiology