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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

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Leveraging EMR functionality to improve patient care.

Robin Helm¹, Sandra Olsen

¹St. Joseph Family Medicine Residency Program, 2400 West Villard Avenue, Milwaukee, WI 53209, USA. rhelm@mcw.edu

The Journal of Medical Practice Management : MPM

|November 17, 2009

Summary

This quality improvement model simplifies electronic medical record analysis for better patient care. It provides a user-friendly approach leading to measurable clinical and operational performance enhancements.

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Area of Science:

Healthcare Management
Clinical Informatics
Quality Improvement Science

Background:

Electronic medical records (EMRs) offer vast data for improving patient care.
Analyzing EMR data for quality improvement can be complex and time-consuming.
A structured approach is needed to effectively leverage EMR data.

Purpose of the Study:

To present a simple, user-friendly quality improvement model for EMR data analysis.
To demonstrate the model's effectiveness in enhancing clinical and operational performance.
To reduce the perceived burden of quality improvement initiatives.

Main Methods:

Implementation of a straightforward quality improvement model.
Generation of insightful reports from patient electronic medical records.
Provision of targeted feedback to healthcare providers.

Main Results:

Successful application of the quality improvement model.
Creation of meaningful and actionable reports.
Demonstrable improvements in clinical and operational performance metrics.

Conclusions:

The proposed quality improvement model is effective and user-friendly.
EMR data can be successfully queried to drive performance improvements.
Provider feedback is a key component in achieving measurable outcomes.