ArticleFrontiers in digital health2026
From emergence to recoverability: a sociotechnical control trajectory theory of HIT-related risk.
Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Toward a mixed-methods framework for evaluating digital health systems in low-resource settings: an infrastructure-aware perspective.Frontiers in digital health · 2026Article
- Patient misidentification and data integrity risks in ultrasound imaging: a case report using multi-framework incident analysis.Frontiers in health services · 2026Article
- Opportunities and Challenges of Implementing Solar-Powered Digital Health in Low-Resource Settings: A Mixed-Methods Study.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Health information technology (HIT) is deeply embedded in contemporary clinical practice, yet incident-based research continues to show that digital systems can introduce new and sometimes widespread risks to patient safety. While prior studies have been effective in classifying types of HIT-related problems, they offer limited explanation of how such risks emerge, remain unnoticed, spread across sociotechnical systems, and ultimately lead to harm-or are successfully contained. This article advances the Sociotechnical Control Trajectory Theory, a theory-forward framework that conceptualises HIT-related risk as a dynamic process of control degradation and recovery within routine clinical practice. Rather than treating HIT incidents as isolated events or static failures, the theory explains how risk evolves over time through interactions between digital systems, clinical workflows, and organisational responses. The framework specifies four recurring phases, i.e., risk emergence, risk hiddenness, risk propagation, and recoverability or loss of control, and identifies four cross-cutting control capacities that shape outcomes at every phase: observability, interpretability, coordinated response, and system margin. The contribution of the framework lies in integrating existing sociotechnical, resilience, and systems-control perspectives into a temporally structured explanatory model specifically focused on the evolution of HIT-related risk within digitally interconnected clinical environments. To support empirical application, the article derives a set of testable propositions and proposes indirect sociotechnical indicators that may facilitate earlier recognition of emerging control degradation through incident reports, system logs, ethnographic methods, and mixed-methods designs. By shifting attention from
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.