Industry news: Agfa, Array, NEC, Siemens

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Agfa HealthCare announced several recent contracts with U.S. hospitals and imaging centers for the company’s PACS. Agfa’s IMPAX 6.0 PACS is being installed by organizations ranging from large multi-facility groups to community-based hospitals and imaging centers. They are Wuesthoff Hospital, Melbourne, Fla.; Abbeville County Memorial Hosp, Abbeville, S.C.; Hawthorn Medical Associates, North Dartmouth, Maine; and Johnson County Imaging Center, Overland Park, Kan.

Array Corporation USA of Hampton, N.H., recently gave financial support to BreastCancerStories.com, a site that provides breast cancer patients with web-based support and information such as resource links to hospitals and cancer centers.

NEC Display Solutions of America, a standalone provider of large-screen LCD displays, announced that it has been ranked number one in worldwide best-selling monitor supplier to the specialty markets in 2005 by iSuppli’s Specialty Monitors Tracker report.

Researchers at the Technical University of Munich and Siemens Medical Solutions have developed a method of electronically transferring clinical data gathered at the point of care from an EMR to an electronic data capture (EDC) system in clinical trials. Through this process, clinical trial research results can be more quickly documented. In the past, the capture of clinical trial data has been labor-intensive and error-prone, requiring data to be transcribed into a paper case report form or, more recently, entered manually into Internet-based data capture systems. This approach offers a scalable, automatic transfer of data. The system is being tested in a pilot study that was initiated in June 2006. The implementation was designed to create an automatic electronic data transfer platform for two studies focusing on women’s health. One of the trials is evaluating the effectiveness of the various types of chemotherapy on women with breast cancer. The second trial will evaluate the diagnostic value of the use of motion correction algorithms on MRI and is slated to begin in October.