PhD Scientific Days 2026

Poster Session 1.S - Conservative Medicine

NeoTracker: A Digital Delivery Room Event Log for Real-Time Documentation and Quality Improvement in Neonatal Care

Előadó neve

Dr. Bogner, Luca Laura

Neptune code

E4V3X0

Előadó munkahelye

Pediatric Centre, Semmelweis University

Előadó telefonszáma

06308618226

Előadó e-mail címe

luca.bogner99@gmail.com

Az előadás címe

NeoTracker: A Digital Delivery Room Event Log for Real-Time Documentation and Quality Improvement in Neonatal Care

Szerző(k) neve és munkahelye

Dr. Luca Laura Bogner¹

1: Pediatric Centre, Semmelweis University

Bemutatás módja

Poszter

Szekció

Poster Session 1.S - Conservative Medicine

Language of the presentation

English

Preferred session

Conservative Medicine

Összefoglaló szövege

Introduction: Delivery room care of a newborn has crucial impact on short- and long-term outcome. International recommendations include critical and time-sensitive interventions based on physiological parameters and monitoring data. Since real-time, structured, unbiased data are essential for decision support and quality improvement, we developed a digital delivery room event log called "NeoTracker".
Aims: To validate the feasibility and timeliness of data registration in NeoTracker, and to assess its impact on documentation of guideline-recommended interventions in a clinical pilot.
Method: The proof of concept study will be conducted at a Level III NICU of Semmelweis University. The pre-specified primary endpoint is the proportion of newborns with documented delayed cord clamping (DCC) in the NeoTracker-recorded cohort versus matched standard-documentation cases. DCC was selected as the primary endpoint because it carries a Class I recommendation from both ACOG and WHO, has demonstrated outcome benefits with respect to mortality and intraventricular hemorrhage, and is currently among the most poorly documented interventions in the national registry.
Results: Based on 2024 Hungarian Perinatal Registry data encompassing all Level III inborn neonates, the current national baseline for documented DCC is 70.3%. The study hypothesis is a ≥20-percentage-point improvement toward a target of 90.3%. A power calculation indicates that 2×68 deliveries are sufficient to detect this difference (α=0.05, power=0.80). 68 parallel documentations will be analyzed in the proof of concept phase, with primary outcomes including documentation delay and frequency of missing data in the retrospective method compared with real-time NeoTracker recordings. In the clinical pilot, the primary outcome will be the documented DCC rate in the NeoTracker cohort versus matched standard-documentation cases.
Conclusion: This proof of concept study represents a key step towards clinical implementation of NeoTracker. By providing objective data on current documentation delays and data gaps, the study may support staff acceptance and demonstrate the added value of structured real-time documentation in the delivery room. Ultimately, improved data accuracy and completeness may enhance quality improvement initiatives and decision support in neonatal care.
Funding: BioTech USA „Az Egészségért” Díj

University

Semmelweis University

Supervisor

Ágnes Jermendy MD PhD MPH

Publication of my abstract

I give consent to the publication of my abstract on the website of the congress.

phd.section.field

in doctoral studies after complex exam (PhD)

Kind

Szabad

Status

elfogadva

Accepted presentation method

poszter

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

8252

Start

17:12

End

17:15