Evidence map›Paper›PMID 33521582›Full record

ArticleMayo Clinic proceedings. Innovations, quality & outcomes2021

Digital Health Surveillance Strategies for Management of Coronavirus Disease 2019.

Thulasee Jose, David O Warner, John C O'Horo, Steve G Peters, Rajeev Chaudhry, Matthew J Binnicker, Charles D Burger

Abstract read
In one paragraph

Article in Mayo Clinic proceedings. Innovations, quality & outcomes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 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

7 authors.

Thulasee JoseDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN.
David O WarnerDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN.
John C O'HoroDepartment of Internal Medicine, Mayo Clinic, Rochester, MN.
Steve G PetersDepartment of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN.
Rajeev ChaudhryDepartment of Internal Medicine, Mayo Clinic, Rochester, MN.
Matthew J BinnickerLaboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Charles D BurgerDivision of Pulmonary, Allergy and Sleep Medicine, Department of Internal Medicine, Mayo Clinic, Jacksonville, FL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe the design, implementation, and utilization of electronic health record (EHR)-based digital health surveillance strategies used to manage the coronavirus disease 2019 (COVID-19) pandemic and to ensure delivery of high-quality clinical care, such as case identification, remote monitoring, telemedicine services, and recruitment to clinical trials at Mayo Clinic.

methodsThe design and implementation work described in this report was performed at Mayo Clinic, a large multistate integrated health care system with more than 1.5 million annual patient visits that uses the Epic EHR system. Rule-based live registries were designed in the EHR system to classify patients who currently test positive for COVID-19, patients who test positive but have recovered from COVID-19, patients who are thought to have COVID-19 but do not yet meet clinical diagnostic criteria, patients who test negative for COVID-19, and patients who exceed a risk score for serious complications from COVID-19.

resultsBy use of registries, custom dashboards and operational reports were developed to provide a daily high-level summary for clinical practice use and up-to-date information to manage individual patients affected by COVID-19, including support of case identification, contact isolation, and other care management tasks.

conclusionWe developed and implemented a systematic approach to the use of EHR patient registries to manage the COVID-19 pandemic that proved feasible and useful in a large multistate group clinical practice. The key to harnessing the potential of digital surveillance tools to promote patient-centered care during the COVID-19 pandemic was to use the registry data, reports, and dashboards as informatics tools to inform decision-making

Indexed as

COVID-19, coronavirus disease 2019EHR, electronic health recordPCR, polymerase chain reactionSARS-CoV-2, severe acute respiratory syndrome coronavirus 2

Identifiers

PMID33521582
PMCPMC7831529

What OpenQuestion holds

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Registered trials

None linked

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.