Physician's Information Customizer (PIC): Using a Shareable User Model to Filter the Medical Literature

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Citation: Wanda Pratt and Ida Sim. (1994) Physician's Information Customizer (PIC): Using a Shareable User Model to Filter the Medical Literature. In KSL-94-58, August,1994.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Wanda Pratt and Ida Sim
title Physician's Information Customizer (PIC): Using a Shareable User Model to Filter the Medical Literature
number KSL-94-58
institution Knowledge Systems, AI Laboratory
year 1994
month August
Bibtex more
note Medical Computer Science
Access Paper
abstract 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.

KSL Technical Report ID: KSL-94-58
Facts about Physician's Information Customizer (PIC): Using a Shareable User Model to Filter the Medical LiteratureRDF feed
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.
Author Wanda Pratt and Ida Sim  +
Bibtype techreport  +
Has author Wanda Pratt and Ida Sim  +
Has identifier KSL-94-58  +
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  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-94-58  +
Month August  +
Note Medical Computer Science
Number KSL-94-58  +
Process note NO  +
Title Physician's Information Customizer (PIC): Using a Shareable User Model to Filter the Medical Literature  +
Year 1994  +
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