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All Posts Blog: SPOTLIGHT
All Posts Term: deterioration
50 post(s) found

Pediatric Resuscitation Quality Collaborative (pediRES-Q) - The Resuscitation QI Bundle

PIPSQC is pleased to highlight the work of the Pediatric Resuscitation Quality Collaborative (pediRES-Q) and their Resuscitation QI Bundle.

Because of the high mortality of cardiac arrest, a number of the clinical teams at various hospitals have created and implemented a resuscitation quality improvement (QI) program based on evidence-based guidelines. The QI Bundle is comprised of 6 Components: [...]


Cause-specific child and adolescent mortality in the UK and EU15+ countries

Spotting the Sick Child - Helping health care professionals identify children with serious illness

PIPSQC is pleased to share the newly updated and relaunched interactive tool, Spotting the Sick Child, available at:

Spotting the Sick Child is an interactive tool commissioned by the Department of Health and Health Education England to support health professionals in the assessment of the acutely sick child. [...]

7 features of safety in maternity units

Developing and Optimising Observation and Monitoring Guidance for a Paediatric Early Warning System

Launch of the KidsX Accelerator and Global Ecosystem

PIPSQC is pleased to highlight the newly launched KidsX Accelerator and global ecosystem – which brings together the top children’s hospitals and talented digital health companies to build, test and deploy software solutions to make pediatric care exceptionally effective, safe, efficient and convenient for children and families. [...]

Vital Sign-Based Model to Predict Clinical Deterioration in Hospitalized Children

Wireless monitoring and real-time adaptive predictive indicator of deterioration

PIPSQC is pleased to share the article, "Quality improvement in the PICU - a primer for intensivists" - which discusses quality improvement tools that can help transform the pediatric intensive care unit into a highly reliable and safe environment.

In addition, PIPSQC is pleased to highlight the new publication "Wireless monitoring and real-time adaptive predictive indicator of deterioration" - as well as the following resources on machine learning and predicting cardiac arrests: [...]