Evidence map›Paper›PMID 36818384›Full record

ArticleJournal of healthcare engineering2023

Telehealth for COVID-19: A Conceptual Framework.

Waqas Yousaf, Arif Iqbal Umar, Syed Hamad Shirazi, Muhammad Fayaz, Muhammad Assam, Javed Ali Khan, Asad Rasheed, Gulzar Mehmood

RetractedAbstract readRetracted Publication
In one paragraph

Article in Journal of healthcare engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Retracted: Telehealth for COVID-19: A Conceptual Framework.Journal of healthcare engineering · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Waqas YousafDepartment of CS &IT, Hazara University, Mansehra, Pakistan.ORCID 0000-0003-3047-6440
Arif Iqbal UmarDepartment of CS &IT, Hazara University, Mansehra, Pakistan.ORCID 0000-0002-4148-5062
Syed Hamad ShiraziDepartment of CS &IT, Hazara University, Mansehra, Pakistan.ORCID 0000-0001-9534-4719
Muhammad FayazDepartment of Computer Science, University of Central Asia, Naryn, Kyrgyzstan.ORCID 0000-0002-7554-290X
Muhammad AssamDepartment of Software Engineering, University of Science and Technology, Bannu 28100, Pakistan.ORCID 0000-0001-7331-5351
Javed Ali KhanDepartment of Software Engineering, University of Science and Technology, Bannu 28100, Pakistan.ORCID 0000-0003-3306-1195
Asad RasheedDepartment of CS &IT, Hazara University, Mansehra, Pakistan.ORCID 0000-0002-5027-067X
Gulzar MehmoodDepartment of Computer Science, IQRA National University, Swat Campus 19220, Peshawar, Pakistan.ORCID 0000-0002-4216-1246

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The world has been going through the global crisis of the coronavirus (COVID-19). It is a challenging situation for every country to tackle its healthcare system. COVID-19 spreads through physical contact with COVID-positive patients and causes potential damage to the country's health and economy system. Therefore, to overcome the chance of spreading the disease, the only preventive measure is to maintain social distancing. In this vulnerable situation, virtual resources have been utilized in order to maintain social distance, i.e., the telehealth system has been proposed and developed to access healthcare services remotely and manage people's health conditions. The telehealth system could become a regular part of our healthcare system, and during any calamity or natural disaster, it could be used as an emergency response to deal with the catastrophe. For this purpose, we proposed a conceptual telehealth framework in response to COVID-19. We focused on identifying critical issues concerning the use of telehealth in healthcare setups. Furthermore, the factors influencing the implementation of the telehealth system have been explored in detail. The proposed telehealth system utilizes artificial intelligence and data science to regulate and maintain the system efficiently. Before implementing the telehealth system, it is required that prearrangements be made, such as appropriate funding measures, the skills to know technological usage, training sessions, and staff endorsement. The barriers and influencing factors provided in this article can be helpful for future developments in telehealth systems and for making fruitful progress in fighting pandemics like COVID-19. At the same time, the same approach can be used to save the lives of many frontline workers.

Indexed as

COVID-19TelemedicineArtificial IntelligenceDelivery of Health CareHumansSARS-CoV-2

Identifiers

PMID36818384
PMCPMC9929206

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.