Evidence map›Paper›PMID 33754136›Full record

ArticleJAMIA open2020

A reference guide to rapidly implementing an institutional dashboard for resource allocation and oversight during COVID-19 pandemic surge.

Randeep S Jawa, Mathew A Tharakan, Chaowei Tsai, Victor L Garcia, James A Vosswinkel, Daniel N Rutigliano, Jerry A Rubano, Stony Brook Medicine Enterprise Analytics Team

Abstract read
In one paragraph

Article in JAMIA open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Randeep S JawaDivision of Trauma, Emergency Surgery, and Surgical Critical Care, Department of Surgery, Stony Brook University Hospital, Stony Brook, New York, USA.
Mathew A TharakanDepartment of Medicine, Stony Brook University Hospital, Stony Brook, New York, USA.
Chaowei TsaiDepartment of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA.
Victor L GarciaDepartment of  Biomedical Informatics,  Stony Brook University, Stony Brook, New York, USA.
James A VosswinkelDivision of Trauma, Emergency Surgery , and Surgical Critical Care, Department of Surgery , Stony Brook University Hospital, Stony Brook, New York, USA.
Daniel N RutiglianoDivision of Trauma , Emergency Surgery, and Surgical Critical Care , Department of Surgery, Stony Brook University Hospital, Stony Brook, New York, USA.
Jerry A RubanoDivision of Trauma, Emergency Surgery, and Surgical Critical Care, Stony Brook University Hospital, Stony Brook, New York, USA.
Stony Brook Medicine Enterprise Analytics Team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe develop a dashboard that leverages electronic health record (EHR) data to monitor intensive care unit patient status and ventilator utilization in the setting of the COVID-19 pandemic. MATERIALS AND

methodsData visualization software is used to display information from critical care data mart that extracts information from the EHR. A multidisciplinary collaborative led the development.

resultsThe dashboard displays institution-level ventilator utilization details, as well as patient-level details such as ventilator settings, organ-system specific parameters, laboratory values, and infusions. DISCUSSION: Components of the dashboard were selected to facilitate the determination of resources and simultaneous assessment of multiple patients. Abnormal values are color coded. An overall illness assessment score is tracked daily to capture illness severity over time.

conclusionThis reference guide shares the architecture and sample reusable code to implement a robust, flexible, and scalable dashboard for monitoring ventilator utilization and illness severity in intensive care unit ventilated patients.

Indexed as

critical carehealth information systemsinformaticsmedical informatics computing

Identifiers

PMID33754136
PMCPMC7717303

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.