Software development process of Neotree - a data capture and decision support system to improve newborn healthcare in low-resource settings.
Digital health system
neonatal health support
user-centred design
Journal
Wellcome open research
ISSN: 2398-502X
Titre abrégé: Wellcome Open Res
Pays: England
ID NLM: 101696457
Informations de publication
Date de publication:
2022
2022
Historique:
accepted:
30
11
2022
medline:
29
11
2023
pubmed:
29
11
2023
entrez:
29
11
2023
Statut:
epublish
Résumé
The global priority of improving neonatal survival could be tackled through the universal implementation of cost-effective maternal and newborn health interventions. Despite 90% of neonatal deaths occurring in low-resource settings, very few evidence-based digital health interventions exist to assist healthcare professionals in clinical decision-making in these settings. To bridge this gap, Neotree was co-developed through an iterative, user-centered design approach in collaboration with healthcare professionals in the UK, Bangladesh, Malawi, and Zimbabwe. It addresses a broad range of neonatal clinical diagnoses and healthcare indicators as opposed to being limited to specific conditions and follows national and international guidelines for newborn care. This digital health intervention includes a mobile application (app) which is designed to be used by healthcare professionals at the bedside. The app enables real-time data capture and provides education in newborn care and clinical decision support
Identifiants
pubmed: 38022734
doi: 10.12688/wellcomeopenres.18423.1
pmc: PMC10682609
doi:
Types de publication
Journal Article
Langues
eng
Pagination
305Informations de copyright
Copyright: © 2022 Khan N et al.
Déclaration de conflit d'intérêts
No competing interests were disclosed.
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