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Neonatal Intensive Care Workflow Analysis Informing NEC-Zero Clinical Decision Support Design
Sheila M Gephart1, D Anthony Tolentino, Megan C Quinn
1Author Affiliations: College of Nursing, The University of Arizona (Dr Gephart and Mrs Wyles), Tucson; National Clinician Scholars Program, School of Nursing and Institute for Healthcare Policy and Innovation, University of Michigan (Dr Tolentino), Ann Arbor; and School of Nursing, Oregon Health Sciences University (Dr Quinn), Portland.
Necrotizing enterocolitis (NEC) prevention requires better clinical decision support in neonatal ICUs. Clinicians need improved tools for NEC risk awareness, symptom recognition, and treatment, including dashboards and EHR optimizations.
Area of Science:
- Neonatal Medicine
- Clinical Informatics
- Healthcare Systems Engineering
Background:
- Necrotizing enterocolitis (NEC) is a severe gastrointestinal complication in premature infants, necessitating improved prevention and management strategies.
- Current clinical workflows for NEC awareness, recognition, and treatment in neonatal intensive care units (NICUs) lack integrated decision support.
- Sociotechnical processes influence the timely identification and management of NEC, impacting patient outcomes.
Purpose of the Study:
- To describe current clinical workflows and sociotechnical processes for NEC risk awareness, symptom recognition, and treatment in NICUs.
- To identify clinician needs for decision support tools to enhance NEC management.
- To inform the design of effective decision support systems for NEC prevention and care.
Main Methods:
- A qualitative descriptive study utilizing focus groups with NICU clinicians.
- Content analysis of focus group transcripts and field notes from two NICUs.
- Inclusion of diverse clinical roles: nurses, physicians, and neonatal nurse practitioners.
Main Results:
- Significant differences exist in workflow processes between nurses and providers regarding NEC notification and decision-making.
- Clinicians expressed a strong desire for an NEC-specific dashboard for nutrition tracking and recognition.
- Key desired features include risk/adherence scoring, breast milk/feeding support, surveillance tools, and EHR optimizations.
Conclusions:
- Enhanced decision support is crucial for improving NEC prevention and management in NICUs.
- Clinician-identified needs highlight specific areas for technological intervention, such as integrated dashboards and improved EHR functionality.
- Addressing sociotechnical aspects and optimizing user experience are vital for successful implementation of new support tools.
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