Digital twins technology is a way to create a virtual version of a physical object, system, or process. Think of it as a digital replica that mirrors the real thing in real-time. The technology uses data from sensors and other sources to simulate how physical items behave. It allows organizations to observe its performance and predict how it will act under different conditions.
How it works
- A digital twin starts with the creation of a virtual model of a system using computer-aided design (CAD) software.
- Sensors are installed on the physical object to collect data about performance.
- The sensors transmit data to the digital model, allowing it to reflect the current state of the physical object.
- The digital twin updates in real-time based on the data received from sensors.
- Users can run simulations on the digital two to analyze performance, predict issues, and test different scenarios without affecting the physical object.
- Insights gained from the digital twin help inform better decision-making regarding maintenance, operations, and improvements.
- The digital twin can be used throughout the entire lifecycle of the physical object, from design and testing to operation and decommissioning.
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How it is used in healthcare
The creation of healthcare systems, devices, and even patient profiles digital twins allow cybersecurity teams to model and analyze the behavior of each entity in real-time. It allows organizations to conduct consistent risk assessments and vulnerability analysis without making changes to actual operations.
A paper from the Journal of Medical Internet Research notes, “Using DT technology, an institution can execute a digital stress test to observe how the technology would fare under extreme conditions like crises. By creating a virtual twin of a hospital, stakeholders can review the operational strategy, capacity, staffing, and care model on the DT to determine what actions to take and mitigate future challenges.”
Cybersecurity incidents like ransomware or data breaches can be simulated using the data from digital twins to evaluate how systems respond and whether existing cybersecurity measures are adequate. Despite its benefits, the setup and maintenance of digital twins requires a dedicated cybersecurity team. Without effectively delegated tasks, the upkeep of various components necessary for the use of digital twins becomes impossible leaving the cybersecurity measure redundant. It should therefore be noted that organizations considering its implementation would require the financial resources and manpower for its implementation.
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FAQs
How can digital twins be used in information management?
Digital twins can improve information management by providing real-time, accurate virtual representations of assets like a patient file to predict possible outcomes and create effective systems for improved EHR management.
What is the role of machine learning in digital twins?
Machine learning can be integrated with digital twins to analyze large datasets and identify patterns to optimize the system's performance.
How can the return on investment for digital twins be measured by healthcare organizations?
Healthcare organizations can measure the return on investment for digital twins by evaluating improvements in operational efficiency and improvements in patient outcomes or revenues from optimized resource utilization.
Kirsten Peremore
