Evidence map›Paper›PMID 42701419›Full record

ReviewLancet regional health. Americas2026

From promise to practice: digital health through the lens of neonatal care.

Gabriel Fernando Todeschi Variane, Danieli Mayumi Kimura Leandro, Marcelo Jenne Mimica, Topun Austin, Valerie Y Chock, Alexa Craig, Khorshid Mohammad, Krisa Page Van Meurs

Abstract readReview
In one paragraph

Review in Lancet regional health. Americas, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Gabriel Fernando Todeschi VarianeDivision of Neonatology, Department of Pediatrics, Irmandade da Santa Casa de Misericórdia de São Paulo, São Paulo, Brazil.
Danieli Mayumi Kimura LeandroDivision of Neonatology, Department of Pediatrics, Irmandade da Santa Casa de Misericórdia de São Paulo, São Paulo, Brazil.
Marcelo Jenne MimicaProtecting Brains & Saving Futures, Clinical Research Department, São Paulo, Brazil.
Topun AustinNeonatal Intensive Care Unit, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Valerie Y ChockDivision of Neonatal and Developmental Medicine, Stanford University School of Medicine and Lucile Packard Children's Hospital Stanford, Palo Alto, CA, United States.
Alexa CraigDepartment of Pediatrics, Barbara Bush Children's Hospital at MaineHealth, MaineHealth Neurology Scarborough, Scarborough, ME, USA.
Khorshid MohammadPediatrics, Alberta Children's Hospital, Calgary, Canada.
Krisa Page Van MeursDivision of Neonatal and Developmental Medicine, Stanford University School of Medicine and Lucile Packard Children's Hospital Stanford, Palo Alto, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health is no longer a future prospect, it is already embedded in clinical care. Yet its impact remains inconsistent. Bridging this gap between technological capability and clinical value is now a central challenge for health systems. The field of neonatology offers a critical test case, combining extreme physiological vulnerability, high-density multimodal data, and time-sensitive decision-making, where early clinical events and interventions shape outcomes across the lifespan. In this setting, large-scale implementation of remote multi-modality monitoring and tele-neurocritical care across national networks demonstrate that digitally enabled models can extend expertise and support more consistent high-quality care. In this Viewpoint, we argue for shifting from isolated technologies to integrated systems, where continuous, multimodal data enable actionable bedside decisions through aligned layers of intelligence, clinical interfaces, and enabling infrastructure. We further examine the challenges that accompany this transition and the limited inclusion of long-term outcomes, particularly in vulnerable populations. We outline the governance conditions required for responsible and scalable implementation. The future of digital health will not be determined by technological sophistication alone, but by its ability to deliver equitable, durable improvements in patient outcomes. Digital innovation when embedded within structured systems in the neonatal environment can move from promise to practice.

Indexed as

Aritificial intelligenceDigital healthNeonatal neurologyNeonatologyNeurocritical careTelehealth

Identifiers

PMID42701419
PMCPMC13545400

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.