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Related Concept Videos

Nursing Clinical Information System01:27

Nursing Clinical Information System

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Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
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Hospitals-II00:59

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Hospitals provide inpatient and outpatient services. Inpatient services provide care to patients that stay in the hospital for an extended period, ranging from days to months. Examples of inpatient services include intensive care units, hospital wards, or surgeries. Outpatient services provide care to patients who come to a hospital for a diagnostic or treatment but do not stay overnight —for example, diagnostic tests, surgical procedures, or health education.
Nurses that work in...
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Simulation-Based Clinical Systems Testing Before Opening a Pediatric Critical Care Building.

Benjamin T Kerrey1,2,3, Stephanie Boyd1,2, Jamie Shoemaker1

  • 1Center for Simulation and Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.

Hospital Pediatrics
|August 28, 2025
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Summary
This summary is machine-generated.

Simulation-based clinical systems testing effectively identified over 1500 latent safety threats before opening a new pediatric critical care building. This proactive approach, using failure modes and effect analysis, enhanced patient safety in large-scale healthcare environments.

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Area of Science:

  • Healthcare Safety
  • Clinical Systems Engineering
  • Pediatric Critical Care

Background:

  • Opening a new large critical care building (CCB) presents significant patient safety challenges.
  • Proactive identification and mitigation of latent safety threats (LSTs) are crucial before clinical operations commence.

Purpose of the Study:

  • To implement and evaluate simulation-based clinical systems testing (SbCST) for identifying LSTs in a new pediatric CCB.
  • To assess the effectiveness of SbCST in a large-scale healthcare setting prior to patient admission.

Main Methods:

  • Conducted SbCST involving 20 care units/groups with in situ simulations over 9 weeks.
  • Utilized a modified Promoting Excellence And Reflective Learning (PEARLS) format for debriefing and LST documentation.
  • Employed failure modes and effect analysis (FMEA) for scoring LSTs and developing mitigation strategies.

Main Results:

  • Completed 128 of 141 (91%) scheduled simulation sessions, generating 238 scenarios.
  • Identified 1500 LSTs, with a median of 10 per scenario.
  • Assigned FMEA scores to 97% of LSTs, with 76% indicating low risk; mitigations were suggested for 63%.

Conclusions:

  • SbCST is an effective method for identifying LSTs, even at the scale of a large critical care building.
  • FMEA scoring and a mitigation categorization schema improved the SbCST process.
  • This approach can enhance the safety of comparable clinical spaces, despite potential limitations in generalizability due to scale.