University Medical Center Utrecht
Pediatric Intensive Care Unit

Author Of 1 Presentation

THE IMPACT OF HEALTHCARE INFORMATICS, EHEALTH AND BIG DATA AT THE PEDIATRIC AND NEONATAL INTENSIVE CARE UNIT

Presenter
Room
Poster Area 2
Date
19.06.2019
Session Time
12:20 - 13:40
Session Name
POSTER WALK SESSION 02
Presentation Time
07:00 - 18:00
Duration
5 Minutes

Abstract

Background

Healthcare informatics is rapidly gaining in importance in the daily and future practice of the neonatologist and pediatric intensivist. The ESPNIC working group Healthcare Informatics, eHealth and Big Data (HIEBID) wants to improve the care of critically ill neonates and pediatric patients with big data, information technology (IT) systems and eHealth solutions.

Objectives

To measure the impact and prioritize a list of (research) topics regarding HIEBID at the Pediatric and Neonatal Intensive Care Unit.

Methods

An online survey was sent by e-mail to the ESPNIC community. The anonymous survey contained questions on demographics, level of IT expertise, the impact of HIEBID on daily and future practice and HIEBID (research) topics to address.

Results

Preliminary results show that participants were mostly pediatric intensivists (86%), who were skilled in the use of IT systems. Clinical decision support, artificial intelligence (AI) and eHealth applications were already used or researched in respectively 57%, 14% and 43%. Within the next five years eHealth wearables, decision support and artificial intelligence were most likely to be clinically implemented. The top-3 suggested activities of the HIEBID working group were decision support, development of a shared data framework and development of a collaborative research framework.

Conclusion

The ESPNIC community foresees that Healthcare Informatics, eHealth and Big data will (increasingly) be used to improve the care of critically ill neonates and pediatric patients. The HIEBID working group should prioritize on providing information on clinical decision support and support the development of a collaborative research and clinical data platform.

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