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Published on: December 31, 2015
Crossing the quality chasm in neonatal-perinatal medicine
1The Center for Research, Education, and Quality, Pediatrix Medical Group, 1301 Concord Terrace, Sunrise, FL 33323, USA. Dan_Ellsbury@pediatrix.com
Insights
The "Quality Chasm" in neonatal intensive care requires system redesign. Simple rules can guide self-organization for better neonatal therapies, improving outcomes in this complex field.
Area of Science:
- Neonatal Intensive Care Medicine
- Healthcare Systems Engineering
- Complex Adaptive Systems
Background:
- Significant quality gaps persist in neonatal intensive care.
- Therapeutic underuse, overuse, and misuse are prevalent despite extensive research.
- System redesign is crucial for addressing these quality issues.
Purpose of the Study:
- To propose a novel approach for system redesign in neonatal intensive care.
- To address the challenges posed by human factors and system complexity.
- To improve the quality and effectiveness of neonatal therapies.
Main Methods:
- Conceptualizing neonatal intensive care as a complex adaptive system.
- Advocating for system redesign through simple rules rather than rigid control.
- Implementing rules for general direction, prohibitions, and resource provision.
Main Results:
- Simple rules facilitate purposeful self-organizing behavior.
- These rules enable natural experimentation within the system.
- Focus remains on generating desired outcomes for neonatal care.
Conclusions:
- System redesign in neonatal intensive care is best achieved through simple rules.
- These rules foster adaptability and self-organization.
- This approach can effectively bridge the quality chasm in neonatology.
Abstract:
The "Quality Chasm" exists in neonatal intensive care. Despite years of clinical research in neonatology, therapies continue to be underused, overused, or misused. A key concept in crossing the quality chasm is system redesign. The unpredictability of human factors and the dynamic complexity of the neonatal ICU are not amenable to rigid reductionist control and redesign. Change is best accomplished in this complex adaptive system by use of simple rules: (1) general direction pointing, (2) prohibitions, (3) resource or permission providing. These rules create conditions for purposeful self-organizing behavior, allowing widespread natural experimentation, all focused on generating the desired outcome.
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