Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Grouping systems enhance outcomes analysis.

C E Stipek1

  • 1Tenet Healthcare Corporation, Santa Monica, CA, USA.

Topics in Health Information Management
|April 8, 1995
PubMed
Summary

Tenet Healthcare created an outcomes database using existing clinical and financial data. This database, utilizing 3M

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same journal

Attitudes toward genetic testing: gender, role, and discipline.

Topics in health information management·2003
Same journal

Management of prenatal care information: integration of the problem list and clinical comments.

Topics in health information management·2003
Same journal

Using a home care model to monitor bilirubin levels in early discharged infants.

Topics in health information management·2003
Same journal

Electronic prescribing: a review of costs and benefits.

Topics in health information management·2003
Same journal

Self-managing teams: a strategy for quality improvement.

Topics in health information management·2003
Same journal

An interactive voice response system to enhance antidepressant medication compliance.

Topics in health information management·2003

Area of Science:

  • Health Informatics
  • Healthcare Management
  • Clinical Data Analysis

Background:

  • Traditional outcomes data collection is resource-intensive, often requiring extensive data elements or chart reviews.
  • Efficient methods for collecting and analyzing healthcare outcomes are crucial for quality improvement and comparative analysis.

Purpose of the Study:

  • To describe the development of an outcomes database at Tenet Healthcare Corporation.
  • To demonstrate how existing clinical-financial data can be leveraged for outcomes analysis.
  • To showcase the utility of 3M's grouping systems for facility-level and cross-facility outcome comparisons.

Main Methods:

  • Development of an outcomes database integrating existing clinical and financial data.
  • Utilization of two 3M Health Information Systems grouping systems: all patient refined-diagnosis-related groups (APR-DRGs) and ambulatory patient groups (APGs).

Main Results:

  • The implemented database enables the comparison of healthcare outcomes within and across different facilities.
  • Specific examples illustrate the practical application and benefits of the system.

Conclusions:

  • Leveraging existing data and specialized grouping systems can streamline outcomes data management.
  • The developed database facilitates effective outcomes analysis and benchmarking in a large healthcare system.

Related Experiment Videos