ReviewJournal of Parkinson's disease2018
How Mobile Health Technology and Electronic Health Records Will Change Care of Patients with Parkinson's Disease.
Review in Journal of Parkinson's disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis 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, 1 synthesis or guideline pooled it.
- A Review of Mortality Risk Prediction Models in Smartphone Applications.Journal of medical systems · 2021Pooled it
- Bridging the global Parkinson's divide: Technology as a structural solution for equitable and brain health-integrated care.Journal of Parkinson's disease · 2026Review
- Modernizing the Staging of Parkinson Disease Using Digital Health Technology.Journal of medical Internet research · 2025Article
- What Clinicians Should Tell Patients About Wearable Devices and Data Privacy: A Narrative Review.Cureus · 2025Review
- Association of real life postural transitions kinematics with fatigue in neurodegenerative and immune diseases.NPJ digital medicine · 2025Article
- Improving Parkinson's disease management through wearable technology: A cost-benefit perspective.PloS one · 2025Article
- A scoping review of neurodegenerative manifestations in explainable digital phenotyping.NPJ Parkinson's disease · 2023Article
- The evolution of Big Data in neuroscience and neurology.Journal of big data · 2023Article
- Early detection of Parkinson's disease through enriching the electronic health record using a biomedical knowledge graph.Frontiers in medicine · 2023Article
- Successful implementation of technology in the management of Parkinson's disease: Barriers and facilitators.Clinical parkinsonism & related disorders · 2023Review
- A Computerized Analysis with Machine Learning Techniques for the Diagnosis of Parkinson's Disease: Past Studies and Future Perspectives.Diagnostics (Basel, Switzerland) · 2022Review
- Classification of Parkinson's disease and its stages using machine learning.Scientific reports · 2022Article
- Toward Improved Treatment and Empowerment of Individuals With Parkinson Disease: Design and Evaluation of an Internet of Things System.JMIR formative research · 2022Article
- A New Paradigm in Parkinson's Disease Evaluation With Wearable Medical Devices: A Review of STAT-ONFrontiers in neurology · 2022Review
- MNCD: A New Tool for Classifying Parkinson's Disease in Daily Clinical Practice.Diagnostics (Basel, Switzerland) · 2021Article
- Promoting Self-Care in Nursing Encounters with Persons Affected by Long-Term Conditions-A Proposed Model to Guide Clinical Care.International journal of environmental research and public health · 2021Article
- COVID-19: Launching Neurosurgery into the Era of Telehealth in the United States.World neurosurgery · 2020Review
- Biomarkers of Parkinson's disease: 20 years later.Journal of neural transmission (Vienna, Austria : 1996) · 2019Review
- Management of Parkinson's Disease 20 Years from Now: Towards Digital Health Pathways.Journal of Parkinson's disease · 2018Review
- Digital Progression Biomarkers as Novel Endpoints in Clinical Trials: A Multistakeholder Perspective.Journal of Parkinson's diseaseReview
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
Care of patients with Parkinson's disease (PD) will dramatically change in the upcoming years. The nationwide implementations of the patient-controlled electronic health record (EHR) and the technology-based home monitoring system will most probably be the cornerstones of this revolution. We speculate that, within the course of the next decade, EHRs will lead to a substantial empowerment of patients, and monitoring of motor and non-motor manifestations of PD will shift from the clinic to the home. As far as this can be foreseen, small, partly clothing-embedded and implanted sensor systems allowing passive (i.e., non-obtrusive) data collection will dominate the market. They will interoperate with the personal EHR and other potentially health-related electronic databases such as clinical warehouses and population health analytics platforms. Analysis software will be mainly built on artificial intelligence, and presentation of data will be intuitive. This scenario will eventually help both the patient and the medical professional by providing higher amounts of quality information about daily-relevant effects of disease and treatment, eventually allowing for a better and more personalized care.
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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.