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Using OrgAhead, a computational modeling program, to improve patient care unit safety and quality outcomes
Judith A Effken1, Barbara B Brewer, Anita Patil
1University of Arizona College of Nursing, P.O. Box 210203, Tucson, AZ 85721-0203, USA. jeffken@nursing.arizona.edu
International Journal of Medical Informatics
|July 27, 2005
Summary
Computational modeling with OrgAhead identified practical, unit-level innovations to improve patient safety and quality outcomes. Nurse managers can implement these strategies to enhance care delivery and reduce errors.
Area of Science:
- Healthcare Management
- Computational Modeling
- Patient Safety
Background:
- Investigating factors influencing patient safety and quality outcomes is crucial.
- Existing research often overlooks unit-level innovations manageable by nurse managers.
Purpose of the Study:
- To utilize computational modeling to develop testable hypotheses for improving patient safety and quality outcomes.
- To identify practical, unit-level innovations for nurse managers.
Main Methods:
- Employed OrgAhead, a computational modeling program, to simulate patient care units.
- Tuned the model using data from 32 units across 12 Arizona hospitals.
- Validated the model's correspondence with actual patient units.
Main Results:
- Generated practical strategies to improve safety (medication errors, falls) and quality outcomes in virtual patient units.
- Demonstrated that these strategies could be implemented by actual units.
- Observed a ceiling effect in the highest-performing unit.
Conclusions:
- OrgAhead provides decision support for nurse managers to implement effective quality improvement strategies.
- Unit-level innovations are feasible and can enhance patient safety and quality.
- Computational modeling offers a valuable approach to generating evidence-based healthcare innovations.