ArticleJournal of diabetes science and technology2019
Closing the Loop: Optimizing Diabetes Care in the Hospital by Addressing Dispersed Information in Electronic Health Records and Using Clinical Decision Support.
Article in Journal of diabetes science and technology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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Who cites it
6 citing papers in PubMed.
- Unveiling pathways to enhance hypertension and diabetes care in rural China: a mixed methods study using the care cascade model.The Lancet regional health. Western Pacific · 2025Article
- Clinical Decision Support for Glycemic Management Reduces Hospital Length of Stay.Diabetes care · 2022Article
- Clinical Decision Support for Diabetes Care in the Hospital: A Time for Change Toward Improvement of Management and Outcomes.Journal of diabetes science and technology · 2022Article
- Creation and implementation of an electronic health record note for quality improvement in pediatric epilepsy: Practical considerations and lessons learned.Epilepsia open · 2021Article
- Lack of recognition and documentation of stress hyperglycemia is a disruptor of optimal continuity of care.Scientific reports · 2021Article
- Clinical decision support to improve management of diabetes and dysglycemia in the hospital: a path to optimizing practice and outcomes.BMJ open diabetes research & care · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Multiple factors hinder the management of diabetes in hospitals. Amid the demands of practice, health care providers must collect, collate, and analyze multiple data points to optimally interpret glucose control and manage insulin dosing. Such data points are commonly dispersed in different sections of electronic health records (EHR), and the system for data display and physician interaction with the EHR are often poorly conducive to seamless clinical decision making. In this perspective article, we examine challenges in the process of EHR data retrieval, interpretation and decision making, using glucose management as an exemplar. We propose a conceptual, systems-based design for closing the loop between data gathering, analysis and decision making in the management of inpatient diabetes. This concept capitalizes on attributes of the EHR that can enable automated recognition of cases and provision of clinical recommendations.
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Registered trials
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