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Consumer Data is Key to Artificial Intelligence Value: Welcome to the Health Care Future
In addition to enterprise and billing capability, Epic’s strengths include a comprehensive platform with a focus on interoperability, continuity of care, and ability to integrate with a variety of information technology systems. Epic’s “Care Everywhere” platform enables patient health information exchange across multiple provider organizations and EMR systems.
J Particip Med 2025;17:e68261
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Role and Use of Race in Artificial Intelligence and Machine Learning Models Related to Health
The role and use of the social construct of race within health-related artificial intelligence (AI) and machine learning (ML) models have become a subject of increased attention and controversy. As noted in the National Academies’ recent report “Ending Unequal Treatment,” it is increasingly clear that race in all its complexity is a powerful predictor of unequal treatment and health care outcomes [1].
J Med Internet Res 2025;27:e73996
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Hypertension has remained a public health concern in the American adult population. Hypertension, defined as systolic blood pressure (BP) ≥130 mm Hg or diastolic BP ≥80 mm Hg or both, has a prevalence of 46.7%, and control (systolic BP
Over the years, several models and scales of e-HL have been proposed to measure e-HL [6-20]. There is currently no gold standard for e-HL measurement.
J Med Internet Res 2025;27:e71926
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This might lead to a potential bias if recordings of both classes were done in different rooms (ie, recording participants with depression in a clinic and those with depression in an office or studio) as room acoustics have a significant impact on voice recordings [18].
JMIR Res Protoc 2025;14:e60439
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Allergic rhinitis, another common condition, often develops early in life, with a prevalence of 8.5% at ages 6‐7, rising to 14.6% in those aged 13‐14 years old [6]. The symptoms of allergic rhinitis have a profound negative impact on children’s physical and emotional health, sleep quality, and daily activities [7].
JMIR Pediatr Parent 2025;8:e73531
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Advancing the Integration of Digital Health Technologies in the Drug Development Ecosystem
The color scheme difference for certain elements is to highlight the applicability of a subcomponent framework to a major category represented by the bigger rectangle.
The reliable utilization of DHT for clinical investigation hinges highly on the verification and validation of the process used to generate the necessary data and its subsequent processing. A major component of this process is DHT-related testing and validation.
J Med Internet Res 2025;27:e67052
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Large Language Model Symptom Identification From Clinical Text: Multicenter Study
Boston Children’s Hospital (BCH), a large Northeastern urban pediatric academic medical center, and the Indiana Health Information Exchange (IHIE) [38,39], a Midwestern statewide health information exchange network, were the study sites. Notes from BCH ED patients (aged 21 years and younger) and from IHIE ED patients (any age) with a COVID-19 diagnosis between March 1, 2020, and May 31, 2022, were eligible for inclusion into the study corpus.
J Med Internet Res 2025;27:e72984
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Thus, social media has played a positive and indispensable role in providing health information to the public [10].
Although the importance of social media for disseminating vital public health information cannot be overestimated, a concurrent rise in health misinformation was also observed. Social media posts relating to the origin of the virus, its pathogenesis, and transmissibility saturated social media platforms worldwide in a phenomenon termed as “infodemic” [11].
JMIR Form Res 2025;9:e63997
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When patients were scheduled close to a preoperative visit or DOS, a research staff member obtained written assent from patients and consent from their parent/guardian on the preoperative visit day, typically the day before or a few days before the DOS.
Surgical patients received a Fitbit device and account information at the end of their consent meeting on their preoperative visit day. Those who consented via e Consenting received a mailed Fitbit device and account information.
JMIR Form Res 2025;9:e59074
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In a retrospective cohort study that examined longitudinal cigarette smoking behaviors of Indigenous people in Olmsted County, Minnesota—a county without access to Indian Health Service clinics or hospitals—the magnitude of racial misclassification in electronic health record (EHR) data became an unexpected hurdle for the study team [3]. Most AI/AN people reside in urban areas or off reservation lands [4]. Understanding this population’s health behaviors is critical to informing interventions.
J Med Internet Res 2025;27:e73086
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