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Evaluation of User Satisfaction with a Clinical Genetics Database

Oriyo, Ferry
http://rave.ohiolink.edu/etdc/view?acc_num=osu1275414472

Abstract Details

2010, Master of Science, Ohio State University, Allied Medical Professions.
Fulfilling the personalized medicine ideal involves capturing detailed data on the genomics, genetics and family history of an individual. Recording this information challenges existing patient record systems. Consequently, The Ohio State University’s Clinical Cancer Genetics and Medical Genetics program (CCG) developed a comprehensive database to serve as a repository for the program’s clinic and research data. Since inception, the application has not undergone any formal evaluation. To ensure the database meets user needs and to identify where improvements and enhancements might occur it was determined the usability of the database should be evaluated. The research design used for this study consisted of a self-report survey instrument to address user satisfaction and secondly, ethnographic observation to characterize the effectiveness and efficiency of the database application. Among all the variables, users opinions about appropriateness of GUI layout and usefulness of the database is significantly associated with database satisfaction (p-value= 0.001 and 0.02 respectively). Spearman correlation test showed the satisfaction is highly correlated with the total score with a correlation coefficient of 0.64 (p-value=0.003). This means users with frequent use are more satisfied with the CCG database. In spite of this, there remains room for improvement. With additional refinements, the CCG database can become an even more useful tool in the advancement of clinical genetics and personalized medicine.
Melanie Brodnik, PhD, RHIA (Advisor)
Nina Kowalczyk, PhD, MA, MS, FASRT (Committee Member)
Laurie Rinehart-Thompson, JD, RHIA, CHP (Committee Member)
106 p.
Computer Science; Health Care; Information Systems; Systems Design
user satisfaction; information system evaluation; health information management systems; database

Recommended Citations

Citations

  • Oriyo, F. (2010). Evaluation of User Satisfaction with a Clinical Genetics Database [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1275414472

    APA Style (7th edition)

  • Oriyo, Ferry. Evaluation of User Satisfaction with a Clinical Genetics Database. 2010. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1275414472.

    MLA Style (8th edition)

  • Oriyo, Ferry. "Evaluation of User Satisfaction with a Clinical Genetics Database." Master's thesis, Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1275414472

    Chicago Manual of Style (17th edition)

osu1275414472
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© 2010, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.