ArticleActa informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH2020
Rapid Development and Utilization of a Clinical Intelligence Dashboard for Frontline Clinicians to Optimize Critical Resources During Covid-19.
Article in Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Toward a Learning Health Care System: A Systematic Review and Evidence-Based Conceptual Framework for Implementation of Clinical Analytics in a Digital Hospital.Applied clinical informatics · 2022Pooled it
- The evolving physician-AI relationship: a five-tier framework for integrating intelligent systems into clinical practice and medical education.ESMO real world data and digital oncology · 2026Review
- VIEWER: an extensible visual analytics framework for enhancing mental healthcare.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Digital health: dashboards, dashboards, everywhere.Australian prescriber · 2024Article
- Understanding epidemic spread patterns: a visual analysis approach.Health systems (Basingstoke, England) · 2024Article
- Use of a Medication Safety Audit and Feedback Tool in the Emergency Department Is Affected by Prescribing Characteristics.Applied clinical informatics · 2023Article
- Characteristics and specifications of dashboards developed for the COVID-19 pandemic: a scoping review.Zeitschrift fur Gesundheitswissenschaften = Journal of public health · 2023Review
- Implementation and use of a national electronic dashboard to guide COVID-19 clinical management in Fiji.Western Pacific surveillance and response journal : WPSAR · 2023Article
- Setting Requirements for a Dashboard to Inform Portuguese Decision-Makers About Environment Health in an Urban Setting.Frontiers in public health · 2022Article
- Applications, features and key indicators for the development of Covid-19 dashboards: A systematic review study.Informatics in medicine unlocked · 2022Article
- Methylprednisolone Treatment Versus Standard Supportive Care for Adult COVID-19 Mechanically Ventilated, Acute Respiratory Distress Syndrome Patients.SN comprehensive clinical medicine · 2022Article
- Assessment of mortality from COVID-19 in a multicultural multi-ethnic patient population.BMC infectious diseases · 2021Article
- Allocation of intensive care resources during an infectious disease outbreak: a rapid review to inform practice.BMC medicine · 2020Review
- Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe COVID-19 pandemic has created an unprecedented situation where sudden and prolonged surges of critically ill patients have disrupted healthcare systems worldwide A major concern for hospitals worldwide is how to best manage large numbers of COVID-19 infected and non-infected patients, while still maintaining high-quality clinical care.
aimThis manuscript describes the system development, collaborative efforts and the challenges encountered in developing an in-house clinical intelligence dashboard.
methodsThrough a longitudinal, interdepartmental collaboration, a COVID-19 clinical intelligence dashboard was created using Microsoft Power BI and Cerner Computer Language (CCL) to demonstrate clinical severity of patients and patient location in a single screen. A color-coding schema was applied to produce a red highlight for patients whose condition is deteriorating, whether due to increasing oxygen demand or worsening laboratory values. An additional function enabled users to drill down into the patient's clinical and laboratory parameters for the past 5 days, and ultimately to the respective patient chart for further assessment.
resultsThe development of an in-house clinical intelligence dashboard is a feasible, effective tool to allow frontline clinicians to monitor patient status in multiple wards and proactively intervene as clinically necessary and transfer patients to the appropriate level of care. Comparing the 30 days before and 30 days after the implementation of the dashboard, the percentage of patients who required urgent intubation or cardiac resuscitation on the general medical ward, rather than a critical care setting, declined by over 50% (8 out of 34, 33% vs. 7 out of 55, 13%; two-tailed p < 0.05 by Fisher's exact test; OR 3.43; CI 1.07 to 10.95).
conclusionThe dashboard has enabled physicians to efficiently assess patient volumes and case severity to prioritize clinical care and appropriately allocate scarce resources. The dashboard can be replicated by developing healthcare systems that are continuing to grapple with the pandemic.
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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.