ArticleJMIR formative research2022
Creation of an Evidence-Based Implementation Framework for Digital Health Technology in the Intensive Care Unit: Qualitative Study.
Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03514173 (Analysis of Sociotechnical Acceptance and Workflow Integration of a Remote Patient Monitoring Device on an Intensive Care Unit), which is not on this map. Cited by 15 papers.
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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.
Analysis of Sociotechnical Acceptance and Workflow Integration of a Remote Patient Monitoring Device on an Intensive Care Unit
Who cites it
15 citing papers in PubMed.
- Organizational Tensions in the Implementation of Modifiable Off-the-Shelf Technologies in a University Hospital: Qualitative Multimethod Study.JMIR human factors · 2026Article
- The regulation of artificial intelligence in intensive care units: from narrow tools to generalist systems.NPJ digital medicine · 2026Review
- Navigating the complexities of digital health technology implementation: a scoping review of barriers and facilitators.Implementation science communications · 2026Review
- A Framework and Method for Measuring the Implementation of Data Science in Critical Care.Critical care explorations · 2026Article
- Rethinking AI Workflows: Guidelines for Scientific Evaluation in Digital Health Companies.JMIR AI · 2025Article
- Building the future of ICU care: Is our digital foundation strong enough? A multicentre survey of Australian and New Zealand intensive care units.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2025Article
- Evaluating CFIR 2.0 in identifying digital twin implementation challenges in healthcare: bridging the dichotomy between engineering and healthcare communities.Frontiers in digital health · 2025Article
- Increasing the inclusivity of digital health co-production: an integrative review.Frontiers in digital health · 2025Review
- The Feasibility of AgileNudge+ Software to Facilitate Positive Behavioral Change: Mixed Methods Design.JMIR formative research · 2024Article
- Alarm Management in Intensive Care: Qualitative Triangulation Study.JMIR human factors · 2024Article
- Factors Influencing Integration and Usability of Model-Informed Precision Dosing Software in the Intensive Care Unit.Applied clinical informatics · 2024Article
- Experiences, barriers and expectations regarding current patient monitoring systems among ICU nurses in a University Hospital in Lebanon: a qualitative study.Frontiers in digital health · 2024Article
- Creating the ICU of the future: patient-centred design to optimise recovery.Critical care (London, England) · 2023Article
- Using Theories, Models, and Frameworks to Inform Implementation Cycles of Computerized Clinical Decision Support Systems in Tertiary Health Care Settings: Scoping Review.Journal of medical Internet research · 2023Article
- Staff perspectives on the influence of patient characteristics on alarm management in the intensive care unit: a cross-sectional survey study.BMC health services research · 2023Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDigital health technologies such as continuous remote monitoring and artificial intelligence-driven clinical decision support systems could improve clinical outcomes in intensive care medicine. However, comprehensive evidence and guidelines for the successful implementation of digital health technologies into specific clinical settings such as the intensive care unit (ICU) are scarce. We evaluated the implementation of a remote patient monitoring platform and derived a framework proposal for the implementation of digital health technology in an ICU.
objectiveThis study aims to investigate barriers and facilitators to the implementation of a remote patient monitoring technology and to develop a proposal for an implementation framework for digital health technology in the ICU.
methodsThis study was conducted from May 2018 to March 2020 during the implementation of a tablet computer-based remote patient monitoring system. The system was installed in the ICU of a large German university hospital as a supplementary monitoring device. Following a hybrid qualitative approach with inductive and deductive elements, we used the Consolidated Framework for Implementation Research and the Expert Recommendations for Implementing Change to analyze the transcripts of 7 semistructured interviews with clinical ICU stakeholders and descriptive questionnaire data. The results of the qualitative analysis, together with the findings from informal meetings, field observations, and previous explorations, provided the basis for the derivation of the proposed framework.
resultsThis study revealed an insufficient implementation process due to lack of staff engagement and few perceived benefits from the novel solution. Further implementation barriers were the high staff presence and monitoring coverage in the ICU. The implementation framework includes strategies to be applied before and during implementation, targeting the implementation setting by involving all ICU stakeholders, assessing the intervention's adaptability, facilitating the implementation process, and maintaining a vital feedback culture. Setting up a unit responsible for implementation, considering the guidance of an implementation advisor, and building on existing institutional capacities could improve the institutional context of implementation projects in the ICU.
conclusionsImplementation of digital health in the ICU should involve a thorough preimplementation assessment of the ICU's need for innovation and its readiness to change, as well as an ongoing evaluation of the implementation conditions. Involvement of all stakeholders, transparent communication, and continuous feedback in an equal atmosphere are essential, but leadership roles must be clearly defined and competently filled. Our proposed framework may guide health care providers with concrete, evidence-based, and step-by-step recommendations for implementation practice, facilitating the introduction of digital health in intensive care.
trial registrationClinicalTrials.gov NCT03514173; https://clinicaltrials.gov/ct2/show/NCT03514173.
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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.