Title | ||
---|---|---|
State of the Art and a Mixed-Method Personalized Approach to Assess Patients Perceptions on Medical Record Sharing and Sensitivity. |
Abstract | ||
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•There is sparse research on assessing views towards data sensitivity and sharing.•We propose a personalized method to assess medical records sensitivity perceptions.•It combines EHR categorization, closed card-sorting and mixed data analysis.•Knowledge of patient views can help in developing granular consent technologies.•Understanding of patient perceptions can also inform sensitive data sharing policies. |
Year | DOI | Venue |
---|---|---|
2020 | 10.1016/j.jbi.2019.103338 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
Sensitive data,Patient preferences,Data sharing,Card sorting,Behavioral health,Electronic medical records | Medical education,Card sorting,Systematic review,Information retrieval,Computer science,Reproductive health,Data sharing,Medical record,Health information exchange,Information sensitivity,Information privacy | Journal |
Volume | ISSN | Citations |
101 | 1532-0464 | 0 |
PageRank | References | Authors |
0.34 | 0 | 11 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hiral Soni | 1 | 1 | 2.46 |
Adela Grando | 2 | 2 | 1.86 |
Anita C. Murcko | 3 | 0 | 3.04 |
Sabrina Diaz | 4 | 0 | 0.34 |
Madhumita Mukundan | 5 | 0 | 1.01 |
Nassim Idouraine | 6 | 0 | 1.35 |
George Karway | 7 | 0 | 0.34 |
Michael Todd | 8 | 0 | 0.34 |
Darwyn Chern | 9 | 0 | 3.04 |
Christy Dye | 10 | 0 | 2.70 |
Mary Jo Whitfield | 11 | 0 | 0.34 |