Growth Opportunities for Digital Twins in Global Healthcare

Growth Opportunities for Digital Twins in Global Healthcare

Future Growth Potential in Building Efficiencies and Improving Workflows at Health Systems

RELEASE DATE
06-May-2022
REGION
North America
Research Code: K76D-01-00-00-00
SKU: HC03539-NA-MT_26516
$2,450.00
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HC03539-NA-MT_26516
$2,450.00
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Description

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.

Author: Chandni Mathur

Table of Contents

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 1: DTs in a Hospital’s Smart Department for Workflow Improvement (continued)

Growth Opportunity 2: DTs to Streamline and Hasten Clinical Trials

Growth Opportunity 2: DTs to Streamline and Hasten Clinical Trials (continued)

Growth Opportunity 3: Data Aggregators and Analysis Solutions for DT Creation

Growth Opportunity 3: Data Aggregators and Analysis Solutions for DT Creation (continued)

Growth Opportunity 4: DTs for Women’s Diseases/Condition Management

Growth Opportunity 4: DTs for Women’s Diseases/Condition Management (continued)

List of Exhibits

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Related Research
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. Author: Chandni Mathur
More Information
Author Chandni Mathur
Industries Healthcare
No Index No
Is Prebook No
Podcast No
WIP Number K76D-01-00-00-00