ArticleQuality & safety in health care2010
A new sociotechnical model for studying health information technology in complex adaptive healthcare systems.
Article in Quality & safety in health care, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 411 papers, 5 of them syntheses that pooled 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.
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
411 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Digital technologies in inpatient foodservice and nutrition care: a systematic scoping review of intake, plate waste, measurement, and implementation.Frontiers in nutrition · 2026Pooled it
- Registered nurses' experiences with generative artificial intelligence: a meta-synthesis of qualitative studies.Frontiers in public health · 2026Pooled it
- The effects of information technology interventions for optimizing antibiotic prescribing in urinary tract infections: a systematic review.BMC infectious diseases · 2025Pooled it
- Pancreatic Cancer Risk Assessment Tools in Primary Care: A Mixed Methods Systematic Review.Journal of gastrointestinal cancer · 2025Pooled it
- The impact of eHealth use on general practice workload in the pre-COVID-19 era: a systematic review.BMC health services research · 2024Pooled it
- Learning from Misses: Evaluating a Clinical Decision Support for Chronic Pain Management in Primary Care.Applied clinical informatics · 2025Trial
- Implementation and use of technology-enabled blood pressure monitoring and teleconsultation in Singapore's primary care: a qualitative evaluation using the socio-technical systems approach.BMC primary care · 2023Trial
- Beyond technology: Understanding digital healthcare through patient experience and sociotechnical resilience in Northern Ghana.Dialogues in health · 2026Article
- From promise to practice: digital health through the lens of neonatal care.Lancet regional health. Americas · 2026Review
- "Most of what I do is a workaround now": Clinician Use of Workarounds Following an EHR Transition.Journal of general internal medicine · 2026Article
- Renegotiating autonomy and safety: disentangling tensions emerging for older adults living with smart monitoring systems.npj health systems · 2026Article
- From Innovation to Impact: The CREATE Framework as a Blueprint for Large Language Model Adoption in Opioid Treatment Programs.Journal of medical Internet research · 2026Article
- AI-Based Structured Information Extraction From Synthetic Nursing Handover Transcripts: Comparative Evaluation of Large Language Models.JMIR nursing · 2026Article
- Digital-Use/Efficiency Phenotypes Versus Professional Role in Explaining Perceived Digital Benefit in Anaesthesia and Intensive Care.Healthcare (Basel, Switzerland) · 2026Article
- Clinician Trust and Human Factors in AI-Enabled Clinical Decision Support in Acute Care: Mixed Methods Study.JMIR human factors · 2026Article
- The AI Adaptation Paradox: Navigating Professional Relevance and Sustainable Integration in Nursing.Nursing inquiry · 2026Article
- Article
- Regulating the drafting fiction: A qualitative content analysis of official guidance and regulator documents on AI scribe adoption and use in healthcare.PLOS digital health · 2026Article
- From Prototype to Practice: Mixed Methods Study of Human-Centered Design and Usability Evaluation of Augmented Reality for Complex Oncology Surgical Workflows.JMIR human factors · 2026Article
- Accountable Action End Points for Evaluating Artificial Intelligence in Digital Public Health.Journal of medical Internet research · 2026Article
351 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
backgroundConceptual models have been developed to address challenges inherent in studying health information technology (HIT).
methodThis manuscript introduces an eight-dimensional model specifically designed to address the sociotechnical challenges involved in design, development, implementation, use and evaluation of HIT within complex adaptive healthcare systems. DISCUSSION: The eight dimensions are not independent, sequential or hierarchical, but rather are interdependent and inter-related concepts similar to compositions of other complex adaptive systems. Hardware and software computing infrastructure refers to equipment and software used to power, support and operate clinical applications and devices. Clinical content refers to textual or numeric data and images that constitute the 'language' of clinical applications. The human--computer interface includes all aspects of the computer that users can see, touch or hear as they interact with it. People refers to everyone who interacts in some way with the system, from developer to end user, including potential patient-users. Workflow and communication are the processes or steps involved in ensuring that patient care tasks are carried out effectively. Two additional dimensions of the model are internal organisational features (eg, policies, procedures and culture) and external rules and regulations, both of which may facilitate or constrain many aspects of the preceding dimensions. The final dimension is measurement and monitoring, which refers to the process of measuring and evaluating both intended and unintended consequences of HIT implementation and use. We illustrate how our model has been successfully applied in real-world complex adaptive settings to understand and improve HIT applications at various stages of development and implementation.
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.