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Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems (2007)
Maribor, Slovenia
June 20, 2007 to June 22, 2007
ISSN: 1063-7125
ISBN: 0-7695-2905-4
pp: 633-638
Brandon Smith , Memorial Sloan-Kettering Cancer Center
Kevin Regan , Memorial Sloan-Kettering Cancer Center
Frank Sculli , Memorial Sloan-Kettering Cancer Center
Paul Fearn , Memorial Sloan-Kettering Cancer Center
Jason Fajardo , Memorial Sloan-Kettering Cancer Center
Paul Alli , Memorial Sloan-Kettering Cancer Center
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.
Brandon Smith, Kevin Regan, Frank Sculli, Paul Fearn, Jason Fajardo, Paul Alli, "Lessons Learned from Caisis: An Open Source, Web-Based System for Integrating Clinical Practice and Research", Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, vol. 00, no. , pp. 633-638, 2007, doi:10.1109/CBMS.2007.66
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