Growth Opportunities for Digital Twins in Global Healthcare
Description
Growth Opportunities for Digital Twins in Global Healthcare
A digital twin (DT) is a simulated clone of a tangible item or an intangible system/process that users can study independent from its real-world counterpart to aid decision-making. DT technology initially saw application in the production and engineering fields with Industry 4.0, but it has advanced and become revolutionary in the healthcare industry. In healthcare, developers can create a DT for a human or organ, device, process, or healthcare delivery center. Healthcare executives in the United States and Europe increasingly acknowledge DTs as a viable solution for better clinical decision-making in building more efficiency, improving performance, hastening processes, predicting and pre-empting maintenance issues, supporting quality control, and cutting costs. The most critical component to the success of DTs is coordinating all of these elements via interoperability and data integration. The Internet of Things, extended reality, cloud computing, artificial intelligence, and advanced analytics are key technologies that can enhance the value of DTs. Healthcare is a relatively newer application for DTs, so it is critical to understand the nuances and opportunities they offer, which this study aims to address.
A digital twin (DT) is a simulated clone of a tangible item or an intangible system/process that users can study independent from its real-world counterpart to aid decision-making. DT technology initially saw application in the production and engineering fields with Industry 4.0, but it has advanced and become revolutionary in the healthcare industry. In healthcare, developers can create a DT for a human or organ, device, process, or healthcare delivery center. Healthcare executives in the United States and Europe increasingly acknowledge DTs as a viable solution for better clinical decision-making in building more efficiency, improving performance, hastening processes, predicting and pre-empting maintenance issues, supporting quality control, and cutting costs. The most critical component to the success of DTs is coordinating all of these elements via interoperability and data integration. The Internet of Things, extended reality, cloud computing, artificial intelligence, and advanced analytics are key technologies that can enhance the value of DTs. Healthcare is a relatively newer application for DTs, so it is critical to understand the nuances and opportunities they offer, which this study aims to address.
Table of Contents
37 Pages
- Why is it Increasingly Difficult to Grow?
- The Strategic Imperative 8™
- The Impact of the Top 3 Strategic Imperatives on the Digital Twin (DT) Healthcare Market
- Growth Opportunities Fuel the Growth Pipeline Engine™
- Defining DT
- Healthcare Organizations Focus on DT
- DT Technology Framework
- Measured Factors for Different DT Creation
- Human or Organ DT for Personalized Healthcare
- Information Flow for a Human DT
- Medical Device DT for Improved Design and Performance
- Information Flow for a Device DT
- Hospital DTs for Improved Design and Performance
- Information Flow for a Process or Hospital's DT Creation
- Assessing DT Adoption by Stakeholder Type
- Potential DT Application Areas by Stakeholder Type
- Vendor Landscape Analysis and Business Models
- Notable Vendor Developments
- Essential Success Factors for Successful DT Deployment
- Growth Drivers for DTs in Healthcare
- Growth Restraints for DTs in Healthcare
- Growth Opportunity 1: DTs in a Hospital's Smart Department for Workflow Improvement
- Growth Opportunity 2: DTs to Streamline and Hasten Clinical Trials
- Growth Opportunity 3: Data Aggregators and Analysis Solutions for DT Creation
- Growth Opportunity 4: DTs for Women's Diseases/Condition Management
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