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Maribor
June 20, 2007 to June 22, 2007
ISBN: 0-7695-2905-4
pp: 633-638
Paul Fearn , Memorial Sloan-Kettering Cancer Center
Kevin Regan , Memorial Sloan-Kettering Cancer Center
Frank Sculli , Memorial Sloan-Kettering Cancer Center
Jason Fajardo , Memorial Sloan-Kettering Cancer Center
Brandon Smith , Memorial Sloan-Kettering Cancer Center
Paul Alli , Memorial Sloan-Kettering Cancer Center
ABSTRACT
In 2003, we presented an open source, web-based prostate cancer database developed to integrate clinical practice and research workflows at the IEEE Symposium on Computer- Based Medical Systems [1]. Caisis was designed around structured chronological patient histories which could be displayed to clinicians and processed by computer algorithms. We extended the system to handle 9 diseases. It has been adopted by 15 sites in 4 countries with over 400 users and is currently used to manage data for over 165,000 patients. Lessons learned include the following: 1) the original structure accommodates new diseases well, but users are quick to return to spreadsheets or denormalized data models; 2) design and support should be extended to address a variety of system-adoption scenarios; 3) perceived usability is affected by the entire set of applications an individual must use to perform their job; and 4) user training and support must be enhanced as the system evolves and becomes more complex.
INDEX TERMS
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CITATION
Paul Fearn, Kevin Regan, Frank Sculli, Jason Fajardo, Brandon Smith, Paul Alli, "Lessons Learned from Caisis: An Open Source, Web-Based System for Integrating Clinical Practice and Research", CBMS, 2007, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07), Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07) 2007, pp. 633-638, doi:10.1109/CBMS.2007.66
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