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Artificial Intelligence in Health Movement detection with sensors and AI

(ii) Reduced health-care costs: Preventing falls and (xiii) Broad healthcare applications: Although initially
seizures decreases the average duration of hospital focused on inpatient care, such technology could be
stays and the number of medical interventions, extended to other settings such as nursing homes,
resulting in substantial cost savings for health-care rehabilitation centers, and even home healthcare,
facilities. expanding its applications on patient safety beyond
(iii) Enhanced monitoring: Continuous and automated the hospital.
monitoring supplements the efforts of health-care Implementing such technology requires a thoughtful
staff, allowing them to focus on other critical tasks, approach to address potential challenges such as user
knowing that the system will alert them to potential acceptance, data security, and ethical considerations.
issues with patients. However, the benefits mentioned clearly indicate a
(iv) Data-driven insights: The data collected by the sensors profound positive impact on patient care, safety, and
can provide insights into the most common times hospital operations. In conclusion, the integration of
or conditions under which falls and seizures occur, advanced sensor technology and machine-learning
facilitating the development of refined care protocols algorithms in health-care settings holds immense promise
and targeted preventative measures. for improving patient safety, thus warranting further
(v) Staff efficiency: With a system in place to handle routine research in this technology.
monitoring tasks, the staff can allocate their time more
efficiently, thereby improving overall productivity. Acknowledgments
(vi) Training and education: Data from the sensor None.
technology can serve educational purposes, teaching
health-care professionals about patient safety and fall Funding
prevention strategies by providing real examples and
insights. None.
(vii) Patient and family peace of mind: Knowing that Conflict of interest
a sophisticated system monitors their loved ones
can provide patients and their families with greater The authors declare that they have no competing interests.
confidence in the care provided by the hospital, Author contributions
potentially improving their overall experience and
satisfaction. Conceptualization: All authors
(viii) Quality of care metrics: Hospitals can use data from Investigation: All authors
these technologies to demonstrate adherence to Methodology: All authors
patient safety protocols, potentially improving their Writing – original draft: All authors
quality-of-care metrics and accreditation outcomes. Writing – review & editing: All authors
(ix) Improved resource allocation: Predictive analytics
enable hospitals to anticipate patient needs and allocate Ethics approval and consent to participate
nursing and medical resources more effectively, Not applicable.
ensuring that high-risk patients receive more frequent
human monitoring compared to low-risk patients. Consent for publication
(x) Legal and compliance benefits: Implementing state- Not applicable.
of-the-art technology for patient safety may help
health-care facilities comply with legal standards and Availability of data
regulations, potentially reducing the risk of lawsuits The data generated by the sensors that support the findings
associated with inpatient falls and other incidents.
(xi) Scientific advancement: The technology provides of this study are available from the corresponding author
on reasonable request.
a rich data source for further research into patient
safety, potentially identifying new risk factors for falls References
and seizures that were previously unknown.
(xii) Enhanced rehabilitation: For patients recovering 1. LeLaurin JH, Shorr RI. Preventing falls in hospitalized
patients: State of the science. Clin Geriatr Med.
from surgery or injury, the technology can monitor 2019;35(2):273-283.
rehabilitation progress and ensure that movements
are within safe parameters, thereby supporting a doi: 10.1016/j.cger.2019.01.007
more effective recovery process. 2. Centers for Disease Control and Prevention. Web-based

Volume 1 Issue 2 (2024) 141 doi: 10.36922/aih.2790