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Literature Review and Knowledge Distribution During an Outbreak: A Methodology for Managing Infodemics.
Gruber, Amit; Ghiringhelli, Matteo; Edri, Oded; Abboud, Yousef; Shiti, Assad; Shaheen, Naim; Ballan, Nimer; Neuberger, Ami; Caspi, Oren.
  • Gruber A; A. Gruber is an MD-PhD candidate, The B. Rappaport Faculty of Medicine, Technion, Haifa, Israel.
  • Ghiringhelli M; M. Ghiringhelli is postdoctoral researcher, The B. Rappaport Faculty of Medicine, Technion, Haifa, Israel.
  • Edri O; O. Edri is an MD-PhD candidate, The B. Rappaport Faculty of Medicine, Technion, Haifa, Israel.
  • Abboud Y; Y. Abboud is a PhD candidate, The B. Rappaport Faculty of Medicine, Technion, Haifa, Israel.
  • Shiti A; A. Shiti is an MD-PhD candidate, The B. Rappaport Faculty of Medicine, Technion, Haifa, Israel.
  • Shaheen N; N. Shaheen is an MD-PhD candidate, The B. Rappaport Faculty of Medicine, Technion, Haifa, Israel.
  • Ballan N; N. Ballan is an MD-PhD candidate, The B. Rappaport Faculty of Medicine, Technion, Haifa, Israel.
  • Neuberger A; A. Neuberger is senior consultant for infectious diseases, Rambam Medical Center and The B. Rappaport Faculty of Medicine, Technion, Haifa, Israel.
  • Caspi O; O. Caspi is head of the advanced heart failure unit, Rambam Medical Center and The B. Rappaport Faculty of Medicine, Technion, Haifa, Israel.
Acad Med ; 96(7): 1005-1009, 2021 07 01.
Article in English | MEDLINE | ID: covidwho-1165513
ABSTRACT

PROBLEM:

The COVID-19 pandemic has challenged health care systems in an unprecedented way by imposing new demands on health care resources and scientific knowledge. There has also been an exceedingly fast accumulation of new information on this novel virus. As the traditional peer-review process takes time, there is currently a significant gap between the ability to generate new data and the ability to critically evaluate them. This problem of an excess of mixed-quality data, or infodemic, is echoing throughout the scientific community.

APPROACH:

The authors aimed to help their colleagues at the Rambam Medical Center, Haifa, Israel, manage the COVID-19 infodemic with a methodologic solution establishing an in-house mechanism for continuous literature review and knowledge distribution (March-April 2020). Their methodology included the following building blocks a dedicated literature review team, artificial intelligence-based research algorithms, brief written updates in a graphical format, large-scale webinars and online meetings, and a feedback loop.

OUTCOMES:

During the first month (April 2020), the project produced 21 graphical updates. After consideration of feedback from colleagues and final editing, 13 graphical updates were uploaded to the center's website; of these, 31% addressed the clinical presentation of the disease and 38% referred to specific treatments. This methodology as well as the graphical updates it generated were adopted by the Israeli Ministry of Health and distributed in a hospital preparation kit. NEXT

STEPS:

The authors believe they have established a novel methodology that can assist in the battle against COVID-19 by making high-quality scientific data more accessible to clinicians. In the future, they expect this methodology to create a favorable uniform standard for evidence-guided health care during infodemics. Further evolution of the methodology may include evaluation of its long-term sustainability and impact on the day-to-day clinical practice and self-confidence of clinicians who treat COVID-19 patients.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Review Literature as Topic / Information Dissemination / Biomedical Research / Academic Medical Centers / Evidence-Based Practice / COVID-19 / Information Services Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Reviews Topics: Long Covid Limits: Humans Country/Region as subject: Asia Language: English Journal: Acad Med Journal subject: Education Year: 2021 Document Type: Article Affiliation country: ACM.0000000000004073

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Review Literature as Topic / Information Dissemination / Biomedical Research / Academic Medical Centers / Evidence-Based Practice / COVID-19 / Information Services Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Reviews Topics: Long Covid Limits: Humans Country/Region as subject: Asia Language: English Journal: Acad Med Journal subject: Education Year: 2021 Document Type: Article Affiliation country: ACM.0000000000004073