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474 results for “telemedicine”
Evaluating a Telemedicine Smoking Cessation Program in Rural Primary Care Practices
ClinicalTrials.gov study NCT00843505. IPD Sharing: Not stated. Countries: 1. Publications: 126.
Using Telemedicine to Optimize Teamwork and Infection Control of Critical and Highly-infectious Patients in an Emergency Department
ClinicalTrials.gov study NCT04591873. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study of Effectiveness of Telemedicine in Identifying Diabetic Retinopathy Cases
ClinicalTrials.gov study NCT02085681. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Telemedicine Management of Hypertension
ClinicalTrials.gov study NCT05424744. IPD Sharing: NO. Countries: 1. Publications: 1.
TElemedicine to Replace Face-to-face Physician Consultation in Patients With HyperTension : a Pilot Randomized-controlled Trial
ClinicalTrials.gov study NCT04542564. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Peer Recovery to Improve Polysubstance Use and Mobile Telemedicine Retention
ClinicalTrials.gov study NCT05973838. IPD Sharing: YES. Countries: 1. Publications: 17.
Home Video-based Telemedicine to Reduce Hypoglycemia Fear in Parents of Young Children
ClinicalTrials.gov study NCT03914547. IPD Sharing: NO. Countries: 1. Publications: 1.
Impact of Postoperative Telemedicine Visit vs In-person Visit on Patient Satisfaction During the COVID-19 Pandemic
ClinicalTrials.gov study NCT04652674. IPD Sharing: Not stated. Countries: 1. Publications: 6.
Comparison of Telemedicine Evaluation to Standard Evaluation Methods for Pre-Anesthesia Consultation
ClinicalTrials.gov study NCT01240239. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Telemedicine in neurology: telemedicine work group of the American Academy of Neurology update
Open the record for dataset details and reuse information.
Global & Community Health: Implementation of and patient satisfaction with the first neurologic telemedicine program in Mexico during COVID-19
Open the record for dataset details and reuse information.
Risk and Opportunity of Telemedicine in Healthcare Management
<p>This dataset covers five bibliometric data based on telemedicine literature found in Scopus indexed trade journals. We extracted 143 publication metadata from Scopus database based on keyword "Telemedicine" and source restricted to "Trade Journals". This has been done to explore the industry acceptance of telemedicine practices.The extracted data is in the form of a bibtex, excel and Rdataframe format. Aggregated corpus information and Lotka curve tabulation has also been provided.</p> <p> </p>
Cystic Fibrosis Telemedicine in the era of COVID-19 patient and staff surveys
<p>The coronavirus disease 2019 (COVID-19) pandemic has resulted in large scale changes to incorporate telemedicine for delivery of care. People with cystic fibrosis (CF) have care considerations that pose challenges to telemedicine; they include frequent visits for pulmonary disease progression, medication management and evaluation by a multidisciplinary team of providers. We share our center's experience with video visits replacing in-person clinic evaluation, using quality improvement strategies to create a replicable workflow. Key considerations include incorporation of the multidisciplinary team into the visit, limitations of remote delivery of care, as well as patient and staff perceptions of this care model. Results revealed that video visits were convenient, efficacious, and comparable to in-person visits with interest for its continued incorporation into the traditional CF care model.</p>
Telemedicine for cancer pain management: CTGAN application and ML classification
<p>Background: The utilization of artificial intelligence (AI) in healthcare has significant potential to revolutionize the delivery of medical services, particularly in the field of telemedicine. In this article, we investigate the capabilities of a specific deep learning model, a Generative Adversarial Network (GAN), and explore its potential for enhancing the telemedicine approach to cancer pain management.</p> <p>Materials and Methods: We implemented a structured dataset comprising demographic and clinical variables from 226 patients and 489 telemedicine visits for cancer pain management. The deep learning model, specifically a conditional GAN, was employed to generate synthetic samples from our dataset that closely resemble real individuals in terms of their characteristics. Subsequently, four machine learning algorithms were implemented to assess the variables associated with a higher number of remote visits.</p> <p>Results: The generated dataset exhibits a distribution comparable to the reference dataset for all considered variables, including age, number of visits, tumor type, performance status, characteristics of metastasis, opioid dosage, and type of pain. Among the algorithms tested, Random Forest demonstrated the highest performance in predicting a higher number of remote visits, achieving an accuracy of 0.8 on the test data.</p> <p>Conclusion: As the advancement of healthcare processes relies on scientific evidence, AI techniques such as GANs can play a vital role in bridging knowledge gaps and accelerating the integration of telemedicine into clinical practice. Nonetheless, it is crucial to carefully address the limitations associated with these approaches.</p>
Telemedicine Program in Type 1 Diabetes and CSII
ClinicalTrials.gov study NCT02790645. IPD Sharing: Not stated. Countries: 0. Publications: 2.
SpotCheck: Comparison of Enhanced Telemedicine Versus In-person Evaluation for the Diagnosis of Skin Cancer
ClinicalTrials.gov study NCT04411810. IPD Sharing: YES. Countries: 1. Publications: 0.
Can Novel Telemedicine Tools Reduce Disparities Related to Early Identification of Autism
ClinicalTrials.gov study NCT03847337. IPD Sharing: NO. Countries: 1. Publications: 0.
Telemedicine to Manage Chronic Neck Pain at Home
ClinicalTrials.gov study NCT02736851. IPD Sharing: YES. Countries: 0. Publications: 1.
TIPOPS (Telemedicine vs In Person Oncology Patient Surveillance)
ClinicalTrials.gov study NCT04936243. IPD Sharing: YES. Countries: 1. Publications: 0.
Telemedicine for Reach, Education, Access, and Treatment for Diabetes Self-Management Education and Support
ClinicalTrials.gov study NCT06626347. IPD Sharing: YES. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.