KSL-94-58 + redirect page
Physician's Information Customizer (PIC): Using a Shareable User Model to Filter the Medical Literature + Has identifier
Physician's Information Customizer (PIC): Using a Shareable User Model to Filter the Medical Literature + Ksl tr id
Physician's Information Customizer (PIC): Using a Shareable User Model to Filter the Medical Literature + Number
| Physician's Information Customizer (PIC): Using a Shareable User Model to Filter the Medical Literature |
Bibtype
techreport
Has publishing details
August,1994
Has title
Physician's Information Customizer (PIC): Using a Shareable User Model to Filter the Medical Literature
Has where published
KSL-94-58
Has year
1994
Title
Physician's Information Customizer (PIC): Using a Shareable User Model to Filter the Medical Literature
Year
1994
Abstract
The practice of medicine is information-in … The practice of medicine is information-intensive. From reviewing the literature to formulating therapeutic plans, each physician handles information differently. Yet rarely does a representation of the user's information needs and preferences, a user model, get incorporated into information management tools even though we might reasonably expect better acceptance and effectiveness if the tools' presentation and processing were customized to the user. We developed the Physician's Information Customizer(PIC), which generates a shareable user model that can be used in any medical information-management application. PIC elicits the stable,long-term attributes of a physician through simple questions about his/her specialty, research focus, areas of interest, patient characteristics (e.g.ages), and practice locale. To show the utility of this user model in customizing a medical informatics application, PIC custom-filters and ranks articles from Medline, using the user model to determine what would be most interesting to the user. Preliminary evaluation on all 99 unselected articles from a recent issue of six prominent medical journals shows that PIC ranks 66% of the articles as the user would. This demonstrates the feasibility of using easily acquired physician attributes to develop a user model that can successfully filter articles of interest from a large undifferentiated collection. Further testing and development is required to optimize the custom filter and to determine which characteristics should be included in the shareable user model and which should be obtained by individual applications. ld be obtained by individual applications.
Note
Medical Computer Science
Author
Wanda Pratt and Ida Sim +
Has author
Wanda Pratt and Ida Sim +
Has identifier
Physician's Information Customizer (PIC): Using a Shareable User Model to Filter the Medical Literature +
Institution
Knowledge Systems, AI Laboratory +
Ksl tr id
Physician's Information Customizer (PIC): Using a Shareable User Model to Filter the Medical Literature +
Month
August +
Number
Physician's Information Customizer (PIC): Using a Shareable User Model to Filter the Medical Literature +
Process note
NO +
Categories KSL Technical Report +, Publication +, Technical Report +
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