ArticleJournal of medical Internet research2022
Assessment of Clinical Information Quality in Digital Health Technologies: International eDelphi Study.
Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Challenges for Data Quality in the Clinical Data Life Cycle: Systematic Review.Journal of medical Internet research · 2025Pooled it
- A Novel Framework to Assess Clinical Information in Digital Health Technologies: Cross-Sectional Survey Study.JMIR medical informatics · 2025Article
- Prescription for Digital Evolution: Transformative Recommendations for Pharmacy Practice in the Digital Age.Journal of pharmacy practice · 2025Article
- Developing public health surveillance dashboards: a scoping review on the design principles.BMC public health · 2024Article
- An Information Quality Framework for Managed Health Care.Journal of healthcare leadership · 2024Article
- Patient Acceptability of Symptom Screening and Patient Education Using a Chatbot for Autoimmune Inflammatory Diseases: Survey Study.JMIR formative research · 2023Article
- Validating a framework to guide the implementation of high-quality virtual primary care: an international eDelphi study protocol.BMJ open · 2023Article
- Trust transfer in digital healthcare: The role of self-service systems in reducing patient treatment barriers.Digital healthArticle
Corrections and comments
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Authors and funding
29 authors.
Funding
Abstract
backgroundDigital health technologies (DHTs), such as electronic health records and prescribing systems, are transforming health care delivery around the world. The quality of information in DHTs is key to the quality and safety of care. We developed a novel clinical information quality (CLIQ) framework to assess the quality of clinical information in DHTs.
objectiveThis study explored clinicians' perspectives on the relevance, definition, and assessment of information quality dimensions in the CLIQ framework.
methodsWe used a systematic and iterative eDelphi approach to engage clinicians who had information governance roles or personal interest in information governance; the clinicians were recruited through purposive and snowball sampling techniques. Data were collected using semistructured online questionnaires until consensus was reached on the information quality dimensions in the CLIQ framework. Responses on the relevance of the dimensions were summarized to inform decisions on retention of the dimensions according to prespecified rules. Thematic analysis of the free-text responses was used to revise definitions and the assessment of dimensions.
resultsThirty-five clinicians from 10 countries participated in the study, which was concluded after the second round. Consensus was reached on all dimensions and categories in the CLIQ framework: informativeness (accuracy, completeness, interpretability, plausibility, provenance, and relevance), availability (accessibility, portability, security, and timeliness), and usability (conformance, consistency, and maintainability). A new dimension, searchability, was introduced in the availability category to account for the ease of finding needed information in the DHTs. Certain dimensions were renamed, and some definitions were rephrased to improve clarity.
conclusionsThe CLIQ framework reached a high expert consensus and clarity of language relating to the information quality dimensions. The framework can be used by health care managers and institutions as a pragmatic tool for identifying and forestalling information quality problems that could compromise patient safety and quality of care. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1136/bmjopen-2021-057430.
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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.