Evidence map›Paper›PMID 42591628›Full record

ArticleFrontiers in public health2026

Human-centered digital ecosystem: safeguarding healthcare workers' sleep, ergonomics, and occupational health.

Donghui Ren, Yufang Qu, Hui Sun

Abstract read
In one paragraph

Article in Frontiers in public health, 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

3 authors.

Donghui RenYantaishan Hospital, Yantai, Shandong, China.
Yufang QuYantaishan Hospital, Yantai, Shandong, China.
Hui SunYantaishan Hospital, Yantai, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using Healthcare-Associated Infection (HCAI) surveillance as a representative model for high-burden administrative tasks, this Perspective argues that healthcare worker fatigue, sleep disruption, and poorly integrated digital systems threaten both occupational health and health-system resilience. Crucially, these problems should be addressed as failures of work-system design rather than deficits in individual resilience. We propose a Human-Centered Digital Ecosystem that places adequate staffing, circadian-aligned scheduling, protected recovery, and supportive organizational conditions before technological intervention. Within this ecosystem, artificial intelligence could potentially function as a task-specific "cognitive shield" by ranking, consolidating, or filtering low-value information before it reaches clinicians. However, AI's role should be strictly adjunctive; it is not a substitute for structural reforms such as increased hiring, fair compensation, and cultural shifts. AI-supported tools might be considered adjunctive and could be applied only for clearly defined and potentially avoidable administrative burdens after major organizational risks have been assessed and are being addressed in parallel. Their introduction should not delay, replace, or weaken investments in staffing, workload management, fair compensation, supportive leadership, and protected recovery. Implementation should proceed through staged validation, workforce co-design, continuous assessment of workload redistribution, and governance mechanisms protecting autonomy, equity, data security, and emotional privacy. We contend that digital interventions should be judged not only by technical accuracy or time saved, but also by their effects on after-hours work, cognitive workload, recovery, professional judgment, and the distribution of work across occupational groups. The purpose of digital transformation should be to remove avoidable work, not to compensate for preventable organizational deficiencies.

Indexed as

ErgonomicsHealth PersonnelOccupational HealthSleepArtificial IntelligenceDigital HealthHumansWorking ConditionsWorkloadartificial intelligencecognitive shieldhealthcare worker burnouthuman-centered digital ecosystemoccupational health

Identifiers

PMID42591628
PMCPMC13462513

What Socratic 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 Socratic graph.