ArticleBiomedicine hub
Digitalisation and COVID-19: The Perfect Storm.
Article in Biomedicine hub. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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.
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.
Who cites it
18 citing papers in PubMed.
- Themes of Reported Rural Healthcare Challenges Related to Non-Communicable Diseases Before and After the COVID-19 Pandemic: A Scoping Review.International journal of environmental research and public health · 2026Article
- The Big Data Era in Cardiology and Cardiovascular Medicine: Advanced Analytics for Truly Personalized Care.Diagnostics (Basel, Switzerland) · 2025Article
- A secure interoperable method for electronic health records exchange on cross platform blockchain network.MethodsX · 2024Article
- Participation in eHealth Communication Interventions Among Patients Undergoing Hemodialysis: Scoping Review.Journal of medical Internet research · 2024Article
- DigiHEALTH: Suite of Digital Solutions for Long-Term Healthy and Active Aging.International journal of environmental research and public health · 2023Article
- Catering of high-risk foods and potential of stored food menu data for timely outbreak investigations in healthcare facilities, Italy and Germany.Epidemiology and infection · 2023Article
- The digitization process and the evolution of Clinical Risk Management concept: The role of Clinical Engineering in the operational management of biomedical technologies.Frontiers in public health · 2023Article
- Omnichannel Communication to Boost Patient Engagement and Behavioral Change With Digital Health Interventions.Journal of medical Internet research · 2022Article
- Interventions, Participative Role, Barriers, and Facilitators for Involvement in eHealth Communication for People Undergoing Hemodialysis: Protocol for a Scoping Review.JMIR research protocols · 2022Article
- Public Policy Measures to Increase Anti-SARS-CoV-2 Vaccination Rate in Russia.International journal of environmental research and public health · 2022Article
- Telementoring in Minimally Invasive Esophageal Atresia Repair: Results of a Case-Control Study and Lessons Learned from the TIC-PEA Study (Telemedical Interdisciplinary Care for Patients with Esophageal Atresia).Children (Basel, Switzerland) · 2022Article
- Health horizons: Future trends and technologies from the European Medicines Agency's horizon scanning collaborations.Frontiers in medicine · 2022Article
- Impact of the COVID-19 Pandemic on the Acceptance and Use of an E-Learning Platform.International journal of environmental research and public health · 2021Article
- Organisational Response Strategies to COVID-19 in the Sharing Economy.Sustainable production and consumption · 2021Article
- The COVID-19 Pandemic and the Need for an Integrated and Equitable Approach: An International Expert Consensus Paper.Thrombosis and haemostasis · 2021Article
- A Literature Review on the GDPR, COVID-19 and the Ethical Considerations of Data Protection During a Time of Crisis.Yearbook of medical informatics · 2021Review
- An Integrated Guide for Designing Video Abstracts Using Freeware and Their Emerging Role in Academic Research Advancement.Journal of Korean medical science · 2021Article
- Benefits, Facilitators, and Recommendations for Digital Health Academic-Industry Collaboration: A Mini Review.Frontiers in digital health · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
"A ship in the harbour is safe, but that is not what ships are built for," observed that sage 19th century philosopher William Shedd. In other words, technology of high potential is of little value if the potential is not exploited. As the shape of 2020 is increasingly defined by the coronavirus pandemic, digitalisation is like a ship loaded with technology that has a huge capacity for transforming mankind's combat against infectious disease. But it is still moored safely in harbour. Instead of sailing bravely into battle, it remains at the dockside, cowering from the storm beyond the breakwaters. Engineers and fitters constantly fine-tune it, and its officers and deckhands perfect their operating procedures, but that promise is unfulfilled, restrained by the hesitancy and indecision of officialdom. Out there, the seas of the pandemic are turbulent and uncharted, and it is impossible to know in advance everything of the other dangers that may lurk beyond those cloudy horizons. However, the more noble course is for orders to be given to complete the preparations, to cast off and set sail, and to join other vessels crewed by valiant healthcare workers and tireless researchers, already deeply engaged in a rescue mission for the whole of the human race. It is the destiny of digitalisation to navigate those oceans alongside other members of that task force, and the hour of destiny has arrived. This article focuses on the potential enablers and recommendation to maximise learnings during the era of COVID-19.
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Registered trials
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.