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Unveiling the Potential Benefits of Digital Twin Technology in Healthcare
Digital twin technology in healthcare improves patient care, optimizes healthcare systems, and augments training and education.
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Applied Technology Review | Friday, September 27, 2024
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Digital twin technology in healthcare improves patient care, optimizes healthcare systems, and augments training and education.
FREMONT, CA: In healthcare, digital twins are computer representations of systems ranging from patients to hospitals and everything in between, including both physical items and processes. The digital counterparts include electronic health records (EHRs), disease registries, and omics data, such as proteomic, genomic, metabolomic, and bionic data, as well as demographic and lifestyle information for each individual. The introduction of new technologies powered by IoT and AI, combined with the widespread availability of multidimensional data such as behavioral, biometric, cognitive, emotional, and psychological information, has significantly increased the exploration and utility of digital twins.
When fully utilized, digital twins for healthcare may provide a breakthrough paradigm for the future management of lifestyle, health, wellness, and chronic diseases. For example, these virtual models may be constantly updated with data from wearable devices, mobile health apps, and other types of self-reported data. This would provide healthcare providers with previously unknown information, which would be useful in developing correct treatment guidelines and tailored advice.
Significant advantages of digital twin technology in healthcare are listed below:
Improved patient care: A doctor might simulate therapies for a patient using their digital twin, assisting in making key decisions before treating the patient. Such an approach aims to improve process safety while also enhancing the standard of care.
Education and augmented training: Digital twins will be an essential platform for improving the training and education of medical and nursing students and healthcare workers. They provide learners with an interactive platform to better understand complex surgical procedures and human body issues.
Predictive maintenance: Digital twins could be utilized to predict failure scenarios and perform predictive maintenance on essential medical devices in the healthcare setting. This will allow healthcare providers to continuously monitor gadget performance in order to predict any malfunctions that might occur during critical medical work operations.
Research and development: Digital twining is a significant tool in the course of medical studies. These virtual copies serve as platforms for conducting various scientific studies and delving into the complexities of genetic abnormalities. This can significantly improve healthcare approaches and medical treatment procedures, particularly for rare and severe patients.
Enhancement of medical systems: Digital twins enable healthcare organizations to identify operational inefficiencies and bottlenecks in their systems. Managers can maximize resources by conducting proactive analysis and improving patient flow and service delivery.