e.g. mhealth
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Skip search results from other journals and go to results- 5 Journal of Medical Internet Research
- 4 JMIR Human Factors
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- 3 JMIR mHealth and uHealth
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Kang et al [21] performed nursing time statistics based on the hospital information platform, and despite the slightly improved efficiency, the statistical workload was still a lot due to the extraction of data from multiple systems. Meanwhile, Zhang et al [22] calculated nursing time using the load weighting method. The assignment of load weights mainly depended on the subjective assessment of experts, with a large influence from human factors.
JMIR Med Inform 2025;13:e65549
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We refer to such behaviors as adverse events (AEs) in the context of nursing care when they affect the health or well-being of patients or increase the workload of nurses (see the Adverse Events in the Context of Nursing Care section). A particular challenge for nurses in hospitals is motor agitation in and around the bed, as well as related incidents such as falls or the disconnection of catheters or vascular access [6].
JMIR Form Res 2025;9:e64444
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The figure highlights several key challenges that hinder the efficient management of the digital information ecosystem, such as interoperability issues, information silos, increased workload and clinician burden, coordination and communication gaps, patient care journey mapping, and the complexities of complying with privacy regulations.
J Med Internet Res 2024;26:e60258
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Calculating Optimal Patient to Nursing Capacity: Comparative Analysis of Traditional and New Methods
Additionally, the calculation includes minutes of care required for admissions and discharges, ensuring that the dynamic bed count reflects the unit’s actual workload every hour. A more detailed description and example of the dynamic bed count calculation is available in Multimedia Appendix 1.
JMIR Nursing 2024;7:e59619
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Above- or below-average resources are recorded with the median of differences (pretest-posttest estimates of resources), leading to other hypotheses: (1) above-average resources are associated with lower workload, and below-average resources are associated with higher workload (hypothesis 2); (2) above-average resources are associated with higher work engagement (hypothesis 3a); (3) when resources increase, work engagement increases (hypothesis 3b); (4) if resources increase (exclusion of technical competence
JMIR Res Protoc 2024;13:e57820
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In addition, although many studies have focused on the workload of physicians and staff, no study has focused on the workload of patients with cancer. In this qualitative study, we explored the impact of work system factors on newly diagnosed patients with cancer’s perceptions of PCC and QOC and the impact of PCC on the QOC outcomes among newly diagnosed patients with cancer following a suggested conceptual framework.
JMIR Hum Factors 2024;11:e53053
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In response to this increasing workload, an improved documentation system is needed to enable the ICU staff to focus on their patients and decrease the time spent on documentation.
Several aspects contribute to the workload in ICUs. First, medical knowledge in general is growing exponentially [13]. Medical guidelines and treatments increase in dynamicity and complexity as medical decisions and treatments at the patient’s bed need to follow the current state of scientific evidence [14].
JMIR Med Inform 2023;11:e44773
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We hypothesized that the mobile app would have favorable workload, usability, and engagement for patients with OUD receiving methadone treatment, including for patients who had higher versus lower adherence to the app during the original pilot program. We also hypothesized that counselors would report favorable workload, usability, and engagement for the provider-facing app portal.
JMIR Hum Factors 2023;10:e42654
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Ultimately, the majority of participants were worried about their financial risk and workload from DRNs (Multimedia Appendices 2-4).
The following conclusions were drawn based on this study’s results.
The first interesting result is that among financial risk [25,26], performance risk [25,26], privacy risk [25,26], responsibilities [22-24], and workload [23,24], only performance risk and workload from DRNs were found to affect users’ postponement of DRN use.
JMIR Form Res 2023;7:e40660
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As this program launched during the peak of the second wave, it was possible that participation in ORRACLE-Xtra would have a negative impact on staff due to the increased workload. To our knowledge, the impact of COVID-19 surgical backlog recovery work on staff has not been previously reported, particularly work performed during the pandemic. This information would be useful in the planning of COVID-19 surgical recovery activities, which depend greatly on human resources.
JMIR Perioper Med 2022;5(1):e40209
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