e.g. mhealth
Search Results (1 to 10 of 48 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 11 Journal of Medical Internet Research
- 9 JMIR Cardio
- 5 JMIR Formative Research
- 4 JMIR mHealth and uHealth
- 4 JMIRx Med
- 3 JMIR Human Factors
- 3 JMIR Research Protocols
- 2 JMIR Aging
- 2 JMIR Medical Education
- 2 JMIR Perioperative Medicine
- 1 Interactive Journal of Medical Research
- 1 JMIR Bioinformatics and Biotechnology
- 1 JMIR Nursing
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR Medical Informatics
- 0 JMIR Public Health and Surveillance
- 0 JMIR Serious Games
- 0 JMIR Mental Health
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Cancer
- 0 JMIR Challenges
- 0 JMIR Diabetes
- 0 JMIR Biomedical Engineering
- 0 JMIR Data
- 0 Journal of Participatory Medicine
- 0 JMIR Dermatology
- 0 JMIR Pediatrics and Parenting
- 0 JMIRx Bio
- 0 JMIR Infodemiology
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR AI
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 Online Journal of Public Health Informatics
- 0 JMIR XR and Spatial Computing (JMXR)
Nurses then use the clinician portal to view enrolled patients and set up a cardiac rehabilitation care plan with clinical data. Post the procedure, nurses promote app use during follow-up calls at 1, 6, and 12 weeks. The care plan is completed at 12 weeks or when the specialist cardiac electrophysiologist is satisfied, but patients can request early discharge. Clinicians access patient data through their portal, and specialists are anticipated to review patients’ progress before the 12-week consultation.
J Med Internet Res 2025;27:e66815
Download Citation: END BibTex RIS
Telemedicine Booths for Screening Cardiovascular Risk Factors: Prospective Multicenter Study
These covered their demographic details (sex and history of smoking), their medical history before the health check (hypertension, cardiac arrhythmia, pulmonary disease, diabetes, or sleep apnea; whether they took medication), their reason for coming to the vaccination center (to be vaccinated, accompanying someone, or member of staff), whether they were registered with a GP, and how often they saw a medical professional.
JMIR Hum Factors 2025;12:e57032
Download Citation: END BibTex RIS
Cardiac rehabilitation is a multidisciplinary model of health care that consists of 4 phases. Phase I starts during in-hospital treatment and focusses on early mobilization. Phase II can either be performed as in-clinic or outpatient cardiac rehabilitation, depending on the availability of outpatient cardiac rehabilitation and the patient’s individual needs and preferences.
JMIR Mhealth Uhealth 2025;13:e57413
Download Citation: END BibTex RIS
However, reperfusion and medications are unable to replenish necrotic cardiac myocytes, and many patients still experience significant morbidity and mortality following acute MI [4]. Following significant tissue infarction, large areas of the myocardium are scarred and rendered nonfunctional, leading to the adoption of regenerative therapies as a possible solution.
Accordingly, regenerative therapies that aim to restore functional cardiac tissue continue to be a topic of clinical research interest.
JMIR Res Protoc 2025;14:e60591
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
This includes evaluating preexisting cardiac conditions, performing risk assessment with tools such as the Revised Cardiac Risk Index (RCRI), and using an algorithm to determine if a stress test is indicated [3]. The American College of Cardiology /American Heart Association (ACC/AHA) Perioperative Cardiac Evaluation 2014 Guideline [4] provides a widely accepted preoperative evaluation algorithm.
JMIR Perioper Med 2024;7:e63076
Download Citation: END BibTex RIS
Here, we evaluate algorithmic inequity in ML algorithms used for predicting cardiac disease, focusing on heart failure (HF).
HF is a clinical syndrome in which the heart is unable to maintain a cardiac output adequate to meet the metabolic demands of the body [9]. Traditionally, algorithmic tools capable of identifying at-risk patients have played a key role in informing decisions on HF management and end-of-life care [10-12].
J Med Internet Res 2024;26:e46936
Download Citation: END BibTex RIS
This could potentially be used to track the location of patients experiencing cardiac arrest. PPG is used to detect changes in light absorption due to pulsatile blood flow [12] and hence can be used to measure the heartbeat, allowing smartwatches to accurately detect cardiac arrhythmias [13-15]. PPG and other sensors integrated in smartwatches could also potentially be used to detect cardiac arrest by measuring the cessation of pulsatile blood flow.
JMIR Hum Factors 2024;11:e57574
Download Citation: END BibTex RIS
Measures of cardiac structure or function, such as the output of electrocardiograms, echocardiography, or cardiac imaging, were not available in the data set, and therefore were not included in the prediction models.
The study population was randomly split with a 70:30 ratio into a training and a testing set for modeling. Using individuals from the study population, 4 models were built for each end point: a logistic regression model, a stepwise regression, an elastic net, and a random forest (RF) model.
JMIR Cardio 2024;8:e54994
Download Citation: END BibTex RIS