ReviewThe Canadian journal of cardiology2022
Digital Technology Application for Improved Responses to Health Care Challenges: Lessons Learned From COVID-19.
Review in The Canadian journal of cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled 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.
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
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Artificial Intelligence in the Heart of Medicine: A Systematic Approach to Transforming Arrhythmia Care with Intelligent Systems.Current cardiology reviews · 2025Pooled it
- A systematic review and knowledge mapping on ICT-based remote and automatic COVID-19 patient monitoring and care.BMC health services research · 2023Pooled it
- Digital Twin Cognition: AI-Biomarker Integration in Biomimetic Neuropsychology.Biomimetics (Basel, Switzerland) · 2025Review
- Determinants of Digital Health Literacy: International Cross-Sectional Study.Journal of medical Internet research · 2025Article
- Development and Feasibility Study of a Triage Tool for Early Referral to Spinal Cord Stimulation for Patients With Chronic Low Back and Leg Pain.European journal of pain (London, England) · 2025Article
- Feasibility characteristics of wrist-worn fitness trackers in health status monitoring for post-COVID patients in remote and rural areas.PLOS digital health · 2024Article
- Point-of-care testing preferences 2020-2022: Trends over the years.Cardiovascular digital health journal · 2024Article
- Integrating the results of at-home diagnostic testing with public health surveillance to better track COVID-19 and future public health threats.Lancet regional health. Americas · 2024Article
- Demographics and Social Factors Associated With Persistent Nonuse of Video Appointments at a Multisite Health Care Institution: Cross-Sectional Study.JMIR formative research · 2024Article
- Factors influencing implementation of digital cardiac rehabilitation: A qualitative analysis of health workers perspectives.HRB open research · 2024Article
- Clinical efficacy and acceptability of remote fetal heart rate self-monitoring in Southern China.BMC pregnancy and childbirth · 2023Article
- The Gap Between AI and Bedside: Participatory Workshop on the Barriers to the Integration, Translation, and Adoption of Digital Health Care and AI Startup Technology Into Clinical Practice.Journal of medical Internet research · 2023Article
- Elevating the Standard of Care for Patients with Psoriasis: 'Calls to Action' from Epicensus, a Multistakeholder Pan-European Initiative.Dermatology and therapy · 2023Article
- Transition to Virtual Care Services during COVID-19 at Canadian Pain Clinics: Survey and Future Recommendations.Pain research & management · 2023Article
- The role of artificial intelligence technology in the care of diabetic foot ulcers: the past, the present, and the future.World journal of diabetes · 2022Review
- A Contact-Free Optical Device for the Detection of Pulmonary Congestion-A Pilot Study.Biosensors · 2022Article
- The Patient Perspective of Telemedicine in the Context of COVID-19 Pandemic.Bulletin of science, technology & society · 2022Article
- The Digital Health: From the Experience of the COVID-19 Pandemic Onwards.Life (Basel, Switzerland) · 2022Article
- Modernisation of chronic respiratory disease management: The integration of wearable technology.Chronic respiratory diseaseReview
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
While COVID-19 is still ongoing and associated with more than 5 million deaths, the scope and speed of advances over the past year in terms of scientific discovery, data dissemination, and technology have been staggering. It is not a matter of "if" but "when" we will face the next pandemic, and how we leverage technology and data management effectively to create flexible ecosystems that facilitate collaboration, equitable care, and innovation will determine its severity and scale. The aim of this review is to address emerging challenges that came to light during the pandemic in health care and innovations that enabled us to adapt and continue to care for patients. The pandemic highlighted the need for seismic shifts in care paradigms and technology with considerations related to the digital divide and health literacy for digital health interventions to reach full potential and improve health outcomes. We discuss advances in telemedicine, remote patient monitoring, and emerging wearable technologies. Despite the promise of digital health, we emphasise the importance of addressing its limitations, including interpretation challenges, accuracy of findings, and artificial intelligence-driven algorithms. We summarise the most recent recommendation of the Virtual Care Task Force to scaling virtual medical services in Canada. Finally, we propose a model for optimal implementation of health digital innovations with 5 tenets including data management, data security, digital biomarkers, useful artificial intelligence, and clinical integration.
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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.