help button home button JAMIA Bigger figures
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
First published August 6, 2004 as JAMIA PrePrint; doi:10.1197/jamia.M1317
Journal of the American Medical Informatics Association 2004;11(6):468-478
© 2004 American Medical Informatics Association

A more recent version of this article appeared on November 1, 2004
This Article
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
M1317v1
11/6/468    most recent
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Boxwala, A. A.
Right arrow Articles by Sato, L.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Boxwala, A. A.
Right arrow Articles by Sato, L.

Submitted on January 6, 2003
Accepted on June 15, 2004

Organization and Representation of Patient Safety Data: Current Status and Issues around Generalizability and Scalability

Aziz A. Boxwala MBBS, PhD1*, Meghan Dierks MD2, Maura Keenan3, Susan Jackson BSN3, Robert Hanscom JD3, David W. Bates MD, MSc4, and Luke Sato MD3

Affiliation of the authors: 1 Eclipsys Corporation, Boston, MA; Risk Management Foundation of the Harvard Medical Institutions, Inc., Cambridge, MA; Decision Systems Group, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; 2 Department of Healthcare Quality, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Clinical Decision Making Group, Laboratory for Computer Science, Massachusetts Institute of Technology, Cambridge, MA; 3 Risk Management Foundation of the Harvard Medical Institutions, Inc., Cambridge, MA; 4 Division of General Internal Medicine, Brigham and Women's Hospital, Partners Healthcare System, Harvard Medical School, Boston, MA

* To whom correspondence should be addressed.

Recent reports have identified medical errors as a significant cause of morbidity and mortality among patients. A variety of approaches have been implemented to identify errors and their causes. These approaches include retrospective reporting and investigation of errors and adverse events and prospective analyses for identifying hazardous situations. The above approaches along with other sources contribute to data that are used to analyze patient safety risks. A variety of data structures and terminologies have been created to represent the information contained in these sources of patient safety data. While many representations may be well suited to the particular safety application for which they were developed, such application-specific and often organization-specific representations limit the sharability of patient safety data. The result is that aggregation and comparison of safety data across organizations, practice domains, and applications is difficult at best. A common reference data model and a broadly applicable terminology for patient safety data are needed to aggregate safety data at the regional and national level and conduct large-scale studies of patient safety risks and interventions.




This article has been cited by other articles:


Home page
 Qual Saf Health CareHome page
C Brown, T Hofer, A Johal, R Thomson, J Nicholl, B D Franklin, and R J Lilford
An epistemology of patient safety research: a framework for study design and interpretation. Part 3. End points and measurement
Qual. Saf. Health Care, June 1, 2008; 17(3): 170 - 177.
[Abstract] [Full Text] [PDF]


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
Copyright © 1994 by the American Medical Informatics Association.