The danger posed by an uncontrolled disease outbreak is all too real.
So it’s increasingly important that hospitals, clinics, and public health departments continually monitor trends in diseases and medical conditions through syndromic surveillance.
Syndromic surveillance requires analyzing health data, "stripped" of any personal identification, to identify patterns and associations that suggest the need for a public health response. SPSS Inc.’s data mining technologies offer powerful assistance to health organizations engaged in such analysis. Our solution is scalable, capable of processing even massive amounts of data at high speed. Plus, it’s interoperable with diverse types of data and information systems.
The advanced visualization techniques available in SPSS data mining tools make it easier to understand results and communicate findings to non-technical personnel.
And, although syndromic surveillance historically has been utilized to target investigation of potential cases of naturally occurring diseases, its utility for detecting outbreaks associated with bioterrorism is increasingly being explored by public health officials, according to the U.S. government’s Centers for Disease Control and Prevention.
Learn more about how SPSS solutions help government agencies.
Or read customer stories and white papers describing how SPSS solutions help agencies like yours serve the public good.
