Evidence map›Paper›PMID 34943520›Full record

ArticleDiagnostics (Basel, Switzerland)2021

COVID-19 Intelligence-Driven Operational Response Platform: Experience of a Large Tertiary Multihospital System in the Middle East.

Osama A Alswailem, Bashar K Horanieh, Arwa AlAbbad, Sarab AlMuhaideb, Abdulkarim AlMuhanna, Muhammad AlQuaid, Hisham ElMoaqet, Nuhad Abuzied, Ahmad AbuSalah

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 24% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Data-Driven Prediction for COVID-19 Severity in Hospitalized Patients.International journal of environmental research and public health · 2022
    Article
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

9 authors at 3 institutions in 2 countries.

Osama A AlswailemHealthcare Information Technology Affairs, King Faisal Specialist Hospital & Research Center, Riyadh 11211, Saudi Arabia.
Bashar K HoraniehHealthcare Information Technology Affairs, King Faisal Specialist Hospital & Research Center, Riyadh 11211, Saudi Arabia.
Arwa AlAbbadCenter for Healthcare Intelligence, Healthcare Information Technology Affairs, King Faisal Specialist Hospital & Research Center, Riyadh 11211, Saudi Arabia.
Sarab AlMuhaidebComputer Science Department, College of Computer and Information Sciences, King Saud University, Riyadh 11451, Saudi Arabia.
Abdulkarim AlMuhannaCenter for Healthcare Intelligence, Healthcare Information Technology Affairs, King Faisal Specialist Hospital & Research Center, Riyadh 11211, Saudi Arabia.
Muhammad AlQuaidHealthcare Information Technology Affairs, King Faisal Specialist Hospital & Research Center, Riyadh 11211, Saudi Arabia.
Hisham ElMoaqetDepartment of Mechatronics Engineering, School of Applied Technical Sciences, German Jordanian University, Amman 11180, Jordan.ORCID 0000-0003-3698-3216
Nuhad AbuziedHealthcare Information Technology Affairs, King Faisal Specialist Hospital & Research Center, Riyadh 11211, Saudi Arabia.
Ahmad AbuSalahCenter for Healthcare Intelligence, Healthcare Information Technology Affairs, King Faisal Specialist Hospital & Research Center, Riyadh 11211, Saudi Arabia.
King Faisal Specialist Hospital & Research Centre · SAGerman Jordanian University · JOKing Saud University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has resulted in global disruptions within healthcare systems, leading to quick dynamic fluctuations in hospital operations and supply chain management. During the early months of the pandemic, tertiary multihospital systems were highly viewed as the go-to hospitals for handling these rapid healthcare challenges caused by the rapidly increasing number of COVID-19 cases. Yet, this pandemic has created an urgent need for coordinated mechanisms to alleviate increasing pressures on these large multihospital systems and ensure services remain high-quality, accessible, and sustainable. Digital health solutions have been identified as promising approaches to address these challenges. This case report describes results for developing multidisciplinary visualizations to support digital health operations in one of the largest tertiary multihospital systems in the Middle East. The report concludes with some lessons and insights learned from the rapid development and delivery of this user-centric COVID-19 multihospital operations intelligent platform.

Indexed as

advanced analyticsartificial intelligenceCOVID-19decision supporthospital operationsvisualization

Identifiers

PMID34943520
PMCPMC8700768
OpenAlexW4200449377

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.