Smart Bed to Enhance Patient safety
Proposed Approach to help in addressing one cause
or negative outcome of the issue
• Every year, about 700,000 to 1 million clients falls are
reported in the US healthcare facilities
• It is also reported that 2 percent of hospitalized patients fall
at least one time in each stay.
• Approximately one in every four cases of falls leads to
injuries with 10 percent leading to severe injuries (LeLaurin
& Shorr, 2019).
• The inpatient falls are also linked to physical and economic
burdens to clients.
• The proposed intervention is aimed at promoting quality is
improving the safety of the clients receiving healthcare
services.
• Smart beds are among the intervention helping improve
patient safety and comfort throughout their lengthy
hospital stay.
• Smart beds refer to mattresses that use sensors and
technology to help collect information about how a person
sleeps (Choi et al., 2019).
Nursing Issues and their Significance to Nursing
References
• Smart bed achieves their roles in the realization of patient
safety through the use of the sensor placed under the
mattresses
• The information collected is used by the bed to modify and
ensure improvement in sleep automatically
• It provides information to patients on how they should sleep
and tips on improving their sleep.
• The smart bed helps collect patient movement, weight, and
breathing data.
• The beds have real-time monitoring of the crucial data
about patents’ status.
• The beds help detect the abnormal breathing patterns of
these patients and take part in the regulation until the
breathing normalizes
• When connected to other medical devices it helps conduct
the x-ray analysis and measurement of blood pressure
(Devoodnia & Etemad, 2019).
• They are connected to an electronic medical record (EMR)
network to help deliver patient information.
• Assisting nurses to monitor patient statistics like their
movement and weight changes (Ghersi et al., 2018).
• Safety is a major concern in most the healthcare facilities
• Falls are common healthcare issues or healthcare-acquired
conditions reported within the facilities.
• The problem is linked to aging, the patient’s conditions, and
the type of medicines taken.
• It is also linked to poor balance which leads to the
unsteadiness of the feet.
• The patient’s falls lead to increased rates of readmission
• It also leads to healthcare costs due to long stays in the
hospital
• This call for the adoption of an evidence-based intervention
to help in addressing the issue
• The approach to address the issue will help in improving
nursing satisfaction in service delivery
• Nurses will report low cases of falls
• Advancement in medical technology helps in taking the
burden off these nurses (Hessels et al., 2019).
Adequate and appropriate data to support the strategy
• TheChoi, Y. K., Lazar, A., Demiris, G., & Thompson, H. J. (2019). Emerging smart home technologies to facilitate engaging with aging. Journal of gerontological nursing, 45(12), 41-48.
• Ghersi, I., Mariño, M., & Miralles, M. T. (2018). Smart medical beds in patient-care environments of the twenty-first century: A state-of-art survey. BMC medical informatics and decision making,
18(63), 1-12.
• Hessels, A., Paliwal, M., Weaver, S. H., Siddiqui, D., & Wurmser, T. A. (2019). Impact of patient safety culture on missed nursing care and adverse patient events. Journal of nursing care quality,
34(4), 287.
• LeLaurin, J. H., & Shorr, R. I. (2019). Preventing falls in hospitalized patients: state of the science. Clinics in geriatric medicine, 35(2), 273-283. Doi: 10.1016/j.cger.2019.01.007
• Davoodnia, V., & Etemad, A. (2019, October). Identity and posture recognition in smart beds with deep multitask learning. In 2019 IEEE International Conference on Systems, Man and
Cybernetics (SMC) (pp. 3054-3059). IEEE.
Tazneem Shaista
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Slide 1: Smart Bed to Enhance Patient safety
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