Enhancing Patient Safety Through an Integrated Internet of Things Patient Care System: Large Quasi-Experimental Study...

Area of Science:

• Healthcare Technology
• Patient Safety
• Digital Health

Background:

• Inpatient falls pose a critical challenge in healthcare settings.
• Effective fall prevention strategies are essential for patient safety and quality of care.

Purpose of the Study:

• To evaluate the impact of an integrated Internet of Things (IoT) smart patient care system on preventing inpatient falls.
• To compare the effectiveness of an IoT system versus traditional care in reducing bedside falls.

Main Methods:

• A quasi-experimental study design was employed.
• The integrated IoT system included motion-sensing mattresses for bed-exit detection, patient call management, staff scheduling, and mobile alarm notifications.
• Logistic regression models analyzed the relationship between IoT system use and bedside falls.

Main Results:

• The IoT system demonstrated superior detection of potential falls compared to traditional methods.
• Bedside fall incidence was significantly lower in the smart ward (0.1%) versus the traditional ward (1.2%).
• The odds of bedside falls were reduced by 88% with the IoT system (OR 0.12, P=.047).

Conclusions:

• The integrated IoT smart patient care system effectively assists healthcare staff in responding to bed-exit detection, potentially preventing inpatient falls.
• Further research and product development are recommended to integrate IoT solutions into patient care for enhanced safety.