New tool to use with patient tally reports

Area of Science:

• Healthcare Management
• Data Analysis in Healthcare
• Quality Improvement in Patient Care

Background:

• Agencies utilize Outcome and Assessment Information Set (OASIS) data for patient reporting.
• Identifying specific patient cohorts for targeted quality improvement initiatives is crucial.
• Existing methods for selecting care episodes may be resource-intensive.

Purpose of the Study:

• To introduce a novel tool for analyzing patient tally reports derived from OASIS data.
• To enable agencies to efficiently select care episodes for process-of-care investigations.
• To support outcome enhancement activities through data-driven selection.

Main Methods:

• The study describes a new tool that integrates with existing OASIS data reporting.
• Users can submit queries to outcome and case mix tally reports.
• The tool facilitates the selection of specific care episodes for review.

Main Results:

• The tool allows for the targeted identification of care episodes requiring follow-up.
• Agencies can streamline the process of selecting patient groups for investigation.
• An example demonstrates the practical application of the tool in selecting care episodes.

Conclusions:

• The new tool enhances the ability of agencies to utilize OASIS data for quality improvement.
• Efficient selection of care episodes supports focused process-of-care investigations.
• This facilitates proactive outcome enhancement in patient care.