Archived Talks
University of Pittsburgh Department of Biomedical Informatics Lecture Series
“Negative CPOE Attitudes Correlate with Diminished Power in the Workplace”
Christa Bartos, BSN, MS
Biomedical Informatics Doctoral Candidate
Abstract: Power changes have been identified as a frequent and unintended consequence of the implementation of computerized physician order entry (CPOE). However, no previous study has described the degree or direction of power change, or even confirmed that such a relationship exists. Using a validated, standardized instrument for measuring personal power, we collected data from 276 healthcare workers in two different hospitals before and after implementation of CPOE. We identified a significant positive correlation between power perceptions and attitudes toward CPOE. Examining the direction of change by healthcare position, we found that the power perception values decreased for all positions and that attitudes toward CPOE varied based on use of the system. Understanding the relationship between power and CPOE is the first step in enabling systems developers to change the direction of power changes from negative to positive.
“Using a Biomarker to Protein Link Ontology to assist in Biomarker Identification”
Jonathan Lustgarten, MS
Biomedical Informatics Doctoral Fellow
Abstract: Proteomic biomarker identification usually incorporates a two-stage process. The first stage requires some sort of discriminative technique to select the biomarker from among the thousands available within proteomic data, while the second stage often involves a long and expensive process of identifying the protein that is represented by the biomarker. Many times, a selected biomarker, the Mass to Charge Ratio (m/z) in proteomics, has been analyzed previously, but no easy and concise method is available for look-up. We present a novel resource for the look-up and linkage of protein to their respective biomarker that hopefully allows researchers to speed up the identification process. This resource called the Empirical Proteomics Ontology – Knowledge Base (EPO-KB) has an online front-end that allows the user to search for putative biomarker information including previously linked proteins, diseases that have been identified with that biomarker, as well as some of the other critical experimental information including platform and protocol. We also show that when the biomarker to protein link is contained within the knowledge base, we have a 95% success rate of recalling the correct protein when presented with the putative biomarker (285 out of 300). This knowledge base is extensible in many directions by including other representative ontologies such as the Gene Ontology (GO), the Disease Ontology (DO), the Protein Ontology (PO), as well as the inclusion of other fields such as genomics and its subset, Single Nucleotide Polymorphisms (SNPs).
Friday, February 29, 2008
11:00 AM to 12:00 NOON
Parkvale Building (200 Meyran Avenue), Classroom M-184 (on the mezzanine level)
For more information: jxc3@pitt.edu or 412.647.7113