e.g. mhealth
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Impact of a clinical text-based fall prediction model on preventing extended hospital stays for elderly inpatients Reference 16: New predictive models for falls among inpatients using public ADL scale in Japan: a retrospectiveinpatientsMachine Learning–Based Prediction of In-Hospital Falls in Adult Inpatients: Retrospective Observational
JMIR Med Inform 2025;13:e75958
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Subsequently, inpatients were randomly selected from all departments, excluding the emergency and obstetric departments. Specifically, in hospital A, 587 inpatients were selected from 17 departments. In hospital B, 207 inpatients were randomly chosen across 15 departments. In hospital C, 484 inpatients were selected from 15 departments. All wards within each department were included in the investigation, and a total of 305, 104, and 268 wards were included from hospitals A, B, and C, respectively.
J Med Internet Res 2025;27:e72297
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The Adult Inpatient eHealth Literacy Scale (AIPeHLS): Development and Validation Study
Assessing e HL among inpatients is therefore essential to understanding their medical needs, providing targeted technical support, and empowering patients to actively participate in health care procedures. Such efforts can not only improve patients’ self-management capabilities and quality of life but also optimize the overall efficiency and effectiveness of health care delivery [2,14].
J Med Internet Res 2025;27:e75657
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Participants and parents (1 parent per child) were selected from all pediatric inpatients aged 5‐12 years, in a large tertiary hospital in the United Kingdom. All ethnic groups were eligible for participation. However, considering the unavailability of interpreters for various languages at the time of the COVID-19 pandemic, only English-speaking children and their families were selected.
JMIR Serious Games 2025;13:e66656
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As the most successful mode of information was face-to-face on the ward following the ED stay, this approach seems to be the most promising for including inpatients. Yet, efforts to explore and strengthen patient autonomy need to be taken. For the consenting of discharged patients, a more sophisticated approach is needed.
JMIR Med Inform 2024;12:e65646
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We identified this as an issue as many part-time specialists might have ≤4 appointments per week; for example, if they were on ward duties, they would be managing only inpatients during that time. Although they interacted with the EHR system, no data would be recorded for these metrics. Since inpatient data were not studied, the true impact of EHR system use might be underestimated.
J Med Internet Res 2024;26:e53122
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eHealth Literacy and Patient Portal Use and Attitudes: Cross-sectional Observational Study
This study aimed to characterize how age, self-reported race, and e HL were associated with portal awareness, use, and perceptions among adult inpatients at UChicago Medicine.
Inclusion criteria were being 18 years or older, speaking English, and being admitted to a general medicine service. Patients who lacked decisional capacity due to altered mental status or some other conditions were excluded. The recruitment occurred during the daytime for eligible patients at any time during their hospitalization.
JMIR Hum Factors 2023;10:e40105
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Physicians’ Perspectives on Inpatient Portals: Systematic Review
Reference 21: Physicians' Perceptions About PHR for Inpatients. Qualitative Studyinpatients
Interact J Med Res 2022;11(2):e39542
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