Correction: Call for Decision Support for Electrocardiographic Alarm Administration Among Neonatal Intensive Care Unit Staff: Multicenter, Cross-Sectional Survey - Report - MDSpire

Correction: Call for Decision Support for Electrocardiographic Alarm Administration Among Neonatal Intensive Care Unit Staff: Multicenter, Cross-Sectional Survey

  • By

  • Xiaoli Tang

  • Xiaochen Yang

  • Jiajun Yuan

  • Jie Yang

  • Qian Jin

  • Hanting Zhang

  • Liebin Zhao

  • Weiwei Guo

  • June 29, 2026

  • 0 min

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Correction: Request for Enhanced Decision Support in Managing ECG Alarms

Background

Effective management of electrocardiographic (ECG) alarms in NICUs is critical for patient safety and care quality. This correction emphasizes the importance of accurate ethical oversight in research related to alarm management.

Data Highlights

No numerical data or trial results are presented in the correction notice.

Key Findings

  • The ethics approval number for the study was corrected from SCMCIRB-K2024014-1 to SCMCIRB-YJ2022001.
  • The ethics approval was granted by the Ethics Committee of Shanghai Children’s Medical Center.
  • The approval date for the study was November 22, 2022.
  • The study focuses on ECG alarm status and management in NICUs.
  • The research aims to develop an intelligent monitoring device for high-risk neonates.

Clinical Implications

Accurate ethical approval is essential for the integrity of clinical research, particularly in sensitive areas such as neonatal care.

Conclusion

The correction of the ethics approval number is a crucial step in maintaining the credibility of the research on ECG alarm management in NICUs.

Related Resources & Content

  1. Authors, JMIR Publications, Year -- Call for Decision Support for Electrocardiographic Alarm Administration Among Neonatal Intensive Care Unit Staff: Multicenter, Cross-Sectional Survey
  2. Pediatric Cardiology — Utilizing Deep Learning on Pediatric Electrocardiograms to Forecast Secundum Atrial Septal Defects
  3. Pediatric Cardiology — Electrocardiographic Findings in 438 Neonates Diagnosed with Atrial Septal Defects
  4. BMJ Paediatrics Open — High-throughput analysis of multimodal monitoring data: the role of machine learning in early warning systems for high-risk neonates
  5. Pediatric Cardiology — Enhancing Adverse Event Detection in Pediatric Patients Through Remote Monitoring of Cardiovascular Implantable Devices
  6. Hospital 2025 National Patient Safety Goals Simplified
  7. The Physiological Effects of an Adjusted Alarm Architecture on a Neonatal Intensive Care Unit - PubMed
  8. Call for integrated smart alarm management strategies for electrocardiographic alarm administration in neonatal intensive care units: a nationwide cross-sectional survey - ScienceDirect

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