e.g. mhealth
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Skip search results from other journals and go to results- 44 Journal of Medical Internet Research
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In “Patients' Experienced Usability and Satisfaction With Digital Health Solutions in a Home Setting: Instrument Validation Study” (JMIR Med Inform 2025 Jan 8:13:e63703) the authors noted two errors.
The ORCID for author David P Neal was changed from:
000-0002-5531-9962
To the following:
0000-0001-7916-3299
Additionally, the author “Ellen MA Smets” was changed to “Ellen M A Smets.”
JMIR Med Inform 2025;13:e73416
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Content validation was conducted among stroke survivors recruited from the Department of Neurology and Department of Neurosurgery at the Fifth Affiliated Hospital of Zunyi Medical University, as well as among experts in the field of neurology. The inclusion criteria were defined as being aged 18 years or older, owning a smartphone, and having the ability to read and understand Chinese. Individuals with mental disorders were excluded from the study.
J Med Internet Res 2025;27:e64591
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Instead of relying solely on predefined training-validation-test ratios, we incorporated post hoc validation on a large dataset to assess generalizability, a common strategy in clinical text mining [12,13].
In addition, clinical insight was also gained regarding the frequency and management of complications over a 1-year period. While the study highlights the effectiveness of NLP tools in single surgeon practices, extensive datasets can greatly benefit from its capabilities.
JMIR Med Inform 2025;13:e64705
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To our knowledge, there is still no study on the translation and validation of the GFI into European Portuguese.
Despite being commonly used, paper-based questionnaires have several disadvantages: manual data entry is time-consuming and leads to potential errors; accessibility is limited as they must be physically distributed and collected; data security may be compromised; and incomplete or illegible responses and reduced data analysis capabilities are common challenges.
JMIR Form Res 2025;9:e51975
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Regulators have noted the potential of simulated patients in clinical trials [133] and have further suggested adopting the Government Accountability Office accountability framework [134] for the application of machine learning models to in silico trials, which includes addressing challenges related to governance, accountability, and transparency; data considerations; and model development, performance, and validation [135].
J Med Internet Res 2025;27:e66821
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A Validation Tool (VaPCE) for Postcoordinated SNOMED CT Expressions: Development and Usability Study
This work aims to supplement this by adding semantic validation, which should provide better feedback for the user.
An alternative method for the syntactic and semantic validation of PCEs is using the commercial terminology server Ontoserver [10] of Commonwealth Scientific and Industrial Research Organization. Ontoserver is currently the only Fast Healthcare Interoperability Resource (FHIR) terminology server that supports postcoordination at all.
JMIR Med Inform 2025;13:e67984
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However, these pilot validation studies of the NOL were limited to 2 nociceptive procedures as part of standard care and were solely conducted in ICU patients who were able to self-report. Further validation of the NOL during various standard care procedures in critically ill adults with different levels of consciousness or sedation and in response to analgesic treatment is necessary to confirm its validity for the assessment of nociception and related pain in the ICU.
JMIR Res Protoc 2025;14:e60672
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Item pool drafting
November 2023
Expert panel for validation
Date of content validation: December 2023.
Median age: 36 (IQR 29-45) years.
Education qualifications: 25% (n=3) with a master of science, 25% (n=3) with a doctor of philosophy, and 50% (n=6) medical doctors.
Specialties: 16.67% (n=2) in cardiology, 50% (n=6) in nursing, 16.67% (n=2) in pharmacy, and 16.67% (n=2) in internal medicine.
Experience: All experts with more than 6 years in oral anticoagulation.
Sex distribution: 66.67% (n=8) females.
JMIR Res Protoc 2025;14:e51502
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The regression synthetic estimation method involves several steps: (1) The development of a prediction model of the outcome at the individual level. (2) The coefficients derived from the foregoing model are used with a parallel set of predictors on the area level, using data obtained from CCHS, and coded using the same categories as used to estimate the individual-level model and to compute national and area-level estimates. (3) Internal and external validation.
JMIR Public Health Surveill 2025;11:e66056
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Demographic characteristics of the 3 groups included in the Life Plus watch validation study (healthy adults, patients with cardiovascular disease [CVD], and patients with peripheral artery disease [PAD]).
a Not available.
No significant age difference between the CVD and PAD groups (P=.53) was found, but significant differences between the healthy group and PAD group and the healthy group and CVD group (P
Global statistical parameters are summarized in Table 2.
JMIR Form Res 2025;9:e58964
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