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Integrating Nurse Preferences Into AI-Based Scheduling Systems: Qualitative Study
It focuses on feasibility rather than optimization and excels at managing diverse and intricate constraints and preferences [25]. It adeptly explores and refines the solution space to identify feasible schedules that meet all constraints.
Participatory staff scheduling can also be significantly enhanced by AI methodologies, especially by reinforcement learning (RL) and natural language processing (NLP).
JMIR Form Res 2025;9:e67747
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Besides the feasibility of collecting psychophysiological data in child psychiatric care with wearables, it is challenging to effectively implement these technologies into real-world clinical practice [12,13]. This gap between inventive technologies and successful implementation processes is commonly referred to as the “valley of death” and creates a waste of research investments [14].
JMIR Form Res 2025;9:e65559
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The few studies that have tested wearable devices and digital health technologies for sleep and dementia research in the home have predominantly collected feasibility data for a single device across only a few nights [31] and required support from a study partner or care home staff [32-34].
JMIR Aging 2025;8:e72824
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In phase 3 (completed), the preliminary feasibility of the VR prototype was assessed in the acute postoperative setting using a case series design. In phase 4 A (in progress), a larger quantitative feasibility study is being conducted to evaluate the VR program in the acute postoperative period (including the hospital and transition to home) immediately following LLA.
JMIR Res Protoc 2025;14:e68008
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Understanding the VR feasibility for distraction across these different moments would be fundamental to determining if and where VR can be integrated into the overall perioperative patient flow. Integrating VR into the induction of anesthesia may be more technically complex than in other studied settings, such as intravenous (IV) insertions.
JMIR Perioper Med 2025;8:e58905
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Despite the increased use of wearables in clinical settings, the feasibility, validity, and reliability of these devices have not been fully established in older hospitalized patients [15,16]. Collecting data accurately with wearables in hospitalized patients presents significant challenges, as they tend to be more sedentary and walk slower [17].
JMIR Aging 2025;8:e64372
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Hence, there is a need for systematic research on the feasibility of such solutions in terms of factors affecting the uptake and use, and also to inform future research in this field [17].
Despite the rhetoric associated with the benefits of digital solutions in health care, the uptake and use have not progressed at the pace and scale anticipated [18].
JMIR Form Res 2025;9:e59764
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Before evaluating the effectiveness of a digital adaptation, it is critical to examine its use and sustainability [48,49], including usability, acceptability, and feasibility with end users. Usability is characterized by how well specific users achieve a predetermined goal with efficiency and satisfaction in a particular context [50]. Acceptability relates to how end users think and feel about a digital intervention, while feasibility relates to how well it can be deployed with end users [51-53].
JMIR Hum Factors 2025;12:e67685
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However, further investigation is warranted, given the lack of evidence on the feasibility and adherence to long-term use of wearable activity trackers among patients with ax Sp A [20-24].
The aim of this study was to explore the trial, technical, and operational feasibility of measuring physical activity using commercially available wearable activity trackers over 1 year among patients with ax Sp A.
JMIR Hum Factors 2025;12:e68645
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