International Journal of Clinical Case Reports 2024, Vol.14, No.6, 339-350 http://medscipublisher.com/index.php/ijccr 344 4.4 Reducing healthcare costs Smart health devices have the potential to reduce healthcare costs by preventing complications and reducing the need for hospitalizations and doctor visits. For example, the use of home-based mobile devices in the SMART-HF trial resulted in significantly fewer in-hospital days for heart failure patients, thereby reducing healthcare costs (Sahlin et al., 2021). Similarly, smart home technologies for health and social care support have been explored for their potential to reduce economic burdens on healthcare systems by enabling remote monitoring and care delivery (Martin et al., 2008). The effectiveness of mobile health applications for COPD self-management in reducing exacerbations and improving physical function also suggests potential cost savings through fewer hospitalizations and improved patient outcomes (Shaw et al., 2020). 5 Success Stories of Smart Health Devices in Community Care 5.1 Case 1: hypertension and cardiovascular disease management Smart health devices have shown significant promise in managing hypertension and cardiovascular diseases. A randomized controlled trial assessed the efficacy of a 3-month Smart Management Strategy for Health-based electronic program (Smart Healthing) in patients with hypertension, diabetes, or hypercholesterolemia. The intervention group, which used a mobile app and web-based application for self-assessment, self-planning, self-learning, and self-monitoring, demonstrated a significantly higher success rate in achieving clinical indicator goals compared to the control group. Specifically, patients with hypertension showed a significant improvement in systolic blood pressure (SBP) from baseline (72.7% vs. 35.7%; P<.05) (Yun et al., 2019; Yun et al., 2020). Another systematic review and meta-analysis of mobile app-assisted self-care interventions for type 2 diabetes and hypertension found significant reductions in SBP and diastolic blood pressure (DBP), highlighting the effectiveness of these interventions in managing blood pressure (Liu et al., 2019). 5.2 Case 2: diabetes self-management support Smart glucose monitoring devices have revolutionized diabetes self-management by providing real-time data and feedback. A systematic review of mobile health (mHealth) interventions for diabetes management reported that wearable devices, combined with artificial intelligence techniques, significantly improved blood glucose control and prevented complications associated with diabetes (Makroum et al., 2022). Another study on the clinical outcomes of digitally supported self-management of type 2 diabetes mellitus (T2D) showed that digital solutions like DM4All and DiaWatch, which integrate with medical devices for continuous monitoring, led to significant reductions in glycated hemoglobin (HbA1c), body weight, and blood pressure (Luca et al., 2023). Additionally, a meta-analysis of smartphone-based self-management interventions for T2D found that these interventions significantly improved self-efficacy, self-care activities, and health-related quality of life, along with a notable reduction in HbA1c levels (Aminuddin et al., 2019). 5.3 Case 3: fall detection and alert system for the elderly Smart devices equipped with fall detection and alert systems have become crucial in preventing fall-related injuries among the elderly. A scoping review on smart devices for older adults managing chronic diseases highlighted the use of wearable devices that monitor various health parameters and provide automated feedback. These devices support self-management and decision-making, which are essential in preventing falls and improving the quality of life for older adults. The review also noted that self-monitoring and automated feedback were commonly used strategies in these interventions, which have shown positive impacts on patient outcomes, including reduced fall risks (Kim and Lee, 2017). 5.4 Case 4: smart mental health monitoring Emotion monitoring devices are emerging as valuable tools in mental health care, providing continuous monitoring and feedback on emotional states. Although specific studies on emotion monitoring devices were not detailed in the provided data, the general effectiveness of smart health devices in chronic disease management can be extrapolated to mental health care. For instance, the use of mobile app-assisted self-care interventions has been shown to improve various health outcomes by facilitating remote management, personalized recommendations, and patient-provider communication (Liu et al., 2019). These
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