e.g. mhealth
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Skip search results from other journals and go to results- 8 Journal of Medical Internet Research
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The personalized trials framework is a unique pathway to achieve this.
Personalized trials are trials that focus on or are tailored to a single person [24]. A special case is the personalized N-of-1 trial, which is a randomized clinical trial conducted at the level of the individual [25]. Personalized trials have several advantages.
J Med Internet Res 2025;27:e54629
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Digital Health Innovations to Catalyze the Transition to Value-Based Health Care
According to the Food and Drug Administration, digital health encompasses a range of technologies, including mobile health (m Health), health information technology, wearable devices, telehealth, telemedicine, and personalized medicine [1]. The adoption of health technologies is increasingly common in the health care industry, offering prospects for improved diagnostic accuracy, treatment options, and overall health outcomes [2].
JMIR Med Inform 2025;13:e57385
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A Roadmap for Using Causal Inference and Machine Learning to Personalize Asthma Medication Selection
To shift asthma care from one-size-fits-all to personalized care, improve outcomes, and save health care resources, we make three contributions in this paper, supplying a roadmap for future research: (1) we point out the above-mentioned need for creating a decision support tool to guide ICS selection; (2) we point out the above-mentioned gap in fulfilling this need; and (3) to close this gap, we outline an approach to create a machine learning model and apply causal inference to predict a patient’s ICS response
JMIR Med Inform 2024;12:e56572
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The CARRIER consortium is a Dutch initiative in the South Limburg region that aims to reduce the burden of atherosclerotic cardiovascular disease (ASCVD) with the help of a personalized e Health intervention. The consortium consists of experts in health and medicine, big data science, software development, and, lastly, ethical and legal experts in the medical domain.
JMIR Hum Factors 2023;10:e45006
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We use our ACHIEVE (successfully achieving and maintaining euglycemia during pregnancy for type 2 diabetes through technology and coaching) solution as the basis to address these knowledge gaps by proposing an evidence-based framework for designing m Health apps that is both inclusive and personalized. This framework demonstrates how the design, implementation, and evaluation of such tools, driven by the principles of UCD, can be collectively undertaken for any digital health tool.
JMIR Diabetes 2023;8:e46654
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The mobile app has the following six main components: (1) a home screen that is personalized to display the 42 self-care features such as daily medications, exercise, sodium intake, general health status, and telemonitored physiological variables that were assigned to patients based on their tailored needs; (2) invasive remote monitoring interfaces for Cardio MEMS hemodynamic sensor and left ventricular-assisted devices; (3) a medication tab that shows an active medication list and direction for taking each medication
JMIR Form Res 2023;7:e39525
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Because of this variability in treatment provision and response, participants taking melatonin may benefit from a personalized (N-of-1) trial approach [29,30]. Personalized trials are a research approach that helps participants to select which treatments work best for them individually. Participants in a personalized N-of-1 trial receive a multiple crossover trial with continuous collection of objective outcome data throughout the trial.
JMIR Res Protoc 2023;12:e45313
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In this study, we examine the acceptability of a personalized health care service app that we are currently developing.
Research on technology acceptance commonly uses the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT).
JMIR Aging 2023;6:e41429
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The purpose of this study was to evaluate the changes in protection motivation theory (PMT) subconstructs and the transtheoretical model (TTM) stages of change to provide insight into why a personalized mobile cessation intervention was more likely to promote smokers from the preparation stage to the action stage.
J Med Internet Res 2023;25:e41911
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Precision or personalized nutrition focuses on ways to deliver tailored dietary recommendations to promote and maintain health and prevent disease [17]. However, this field is in its infancy and currently has limited clinical applicability to CVD.
Metabolomics can measure the full profile of small-molecule metabolites in biofluids and provide a comprehensive picture of a person’s overall dietary intake [18].
JMIR Res Protoc 2023;12:e39058
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