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

PMNCH - COVID-19 Toolkit Resources on Women's, Children's and Adolescents' Health

PIPSQC is pleased to share that PMNCH is collaborating with key partners in co-producing toolkits on COVID-19 and women's, children's and adolescents' (WCA) health. PMNCH would like to hear from your experience in addressing key issues relating to WCA during COVID-19. Please tell PMNCH about the challenges you and your organization have faced, how you have addressed them, and the best practices that have worked for you.

To submit your input for the PMNCH COVID-19 Toolkit Resources, please visit:
https://www.who.int/pmnch/knowledge/sharing-covid-19-knowledge/en/  [...]

Effectiveness of a Daily Rounding Checklist on Processes of Care and Outcomes in Diverse PICUs Across the World

Rates of VTE and CLABSI Among Types of Central Venous Access Devices in Critically Ill Children

ISQua Virtual Conference on Patient Safety - Keynote Speaker: Dr. Stephen Muething

COVID-19: Pandemic to Permanently Change How Children's Hospitals Deliver Care

PIPSQC is pleased to share the recent article in Children's Hospital Today, entitled "COVID-19: Pandemic to Permanently Change How Children's Hospitals Deliver Care"
 
In addition, PIPSQC is pleased to highlight the PMNCH article, "Call for Expression of Interest in Advocacy Reference Group" -  outlining their new partnership effort to address the impact of COVID-19 on the health and rights of women, children and adolescents. [...]

AAMC Releases Road Map to Reset Nation's Approach to COVID-19

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: [...]