ReviewJournal of the American College of Cardiology2015
Moving From Digitalization to Digitization in Cardiovascular Care: Why Is it Important, and What Could it Mean for Patients and Providers?
Review in Journal of the American College of Cardiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed, 69 citations in OpenAlex.
- Digital Health Approaches to Geriatric Rehabilitation: A Narrative Paper.Annals of rehabilitation medicine · 2026Article
- Metabolic Syndrome Detection Based on Classification of Electrocardiography Signals.Sensors (Basel, Switzerland) · 2025Article
- The Transformative Role of Artificial Intelligence in Plastic and Reconstructive Surgery: Challenges and Opportunities.Journal of clinical medicine · 2025Review
- Using Digital Health Technologies to Monitor Pain, Medication Adherence and Physical Activity in Young People with Juvenile Idiopathic Arthritis: A Feasibility Study.Healthcare (Basel, Switzerland) · 2024Article
- Establishment and validation of an AI-aid method in the diagnosis of myocardial perfusion imaging.BMC medical imaging · 2023Article
- The impact of artificial intelligence on the person-centred, doctor-patient relationship: some problems and solutions.BMC medical informatics and decision making · 2023Review
- Smart Wearables for the Detection of Occupational Physical Fatigue: A Literature Review.Sensors (Basel, Switzerland) · 2022Review
- The Use of Machine Learning Algorithms in the Evaluation of the Effectiveness of Resynchronization Therapy.Journal of cardiovascular development and disease · 2022Article
- Database Supported Long-term Management of Chronic Diseases - Data from the German Disease Management Programmes as a Source for Continuing Medical Education.Journal of European CME · 2022Article
- The Emergence of Artificial Intelligence in Cardiology: Current and Future Applications.Current cardiology reviews · 2022Review
- Returning Cardiac Rhythm Data to Patients: Opportunities and Challenges.Cardiac electrophysiology clinics · 2021Review
- Psychiatry in the Digital Age: A Blessing or a Curse?International journal of environmental research and public health · 2021Review
- Impact of a telemedicine-guided, population-based, STEMI network on reperfusion strategy, efficiency, and outcomes: Impact of telemedicine on STEMI management.AsiaIntervention · 2021Article
- Phenotypes of engagement with mobile health technology for heart rhythm monitoring.JAMIA open · 2021Article
- Patients' experiences of the complex trust-building process within digital cardiac rehabilitation.PloS one · 2021Article
- Smartphone and App Usage in Orthopedics and Trauma Surgery: Survey Study of Physicians Regarding Acceptance, Risks, and Future Prospects in Germany.JMIR formative research · 2020Article
- Strengthening the Medical Error "Meme Pool".Journal of general internal medicine · 2019Article
- An assessment of the quality of clinical records in elective orthopaedics using the STAR score.Irish journal of medical science · 2019Article
- Application of artificial intelligence in pediatrics: past, present and future.World journal of pediatrics : WJP · 2019Article
- TheNPJ digital medicine · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
So far, the digitization of health care is best exemplified by electronic medical records, which have been far from favorably or uniformly accepted. However, properly implemented digitization can enable better patient outcomes, improve convenience, potentially lower healthcare costs, and possibly lead to much greater physician satisfaction. Precision (also known as personalized or individualized) medicine is frequently discussed today, but, in reality, it is what physicians have attempted to do as best they could for millennia. But now we have new tools that can begin to give us a much more high-definition view of our patients; from affordable and rapid genetic testing to wearable sensors that track a wide range of important physiologic parameters continuously. Although seemingly counterintuitive, the digitization of health care can also markedly improve the physician-patient relationship, allowing more time for human interaction when care is bolstered by digital technologies that better individualize diagnostics and treatments.
Indexed as
Identifiers
What OpenQuestion holds
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.