Harnessing technology to map the rare disease patient journey continuum
Patient journey mapping is critical to understanding the real-world experience of rare disease patients and can inform pharma's commercial outlook and research programs.
Expanding digital health technologies transform patient journey mapping and unlock new insights.
So, what are the technologies that are making a difference?
How is technology being used to expedite rare disease diagnosis?
What is the role of natural language processing?
Turn to this report for the answers.
Companies
Takeda, Alexion, Huma, Orphalan
- Subject synopsis
- Research methodology and objectives
- Key insights summary
- Issues and insights
- The importance of patient journey planning
- Issue summary
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- Key insights
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- Intelligence exhibits
- Breadth and depth of AI use
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- Key insights
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- Use of large language models
- Issue summary
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- Key insights
- Supporting quotes
- Challenges of AI use
- Issue summary
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- Key insights
- Supporting quotes
- Tracking the everyday experience
- Issue summary
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- Key insights
- Supporting quotes
- The challenge of small patient populations
- Issue summary
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- Key insights
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- Partnering with patient advocates and groups
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- Key insights
- Supporting quotes
- Maximising whiteboard technology
- Issue summary
- Questions
- Key insights
- Supporting quotes
- Applying technology to expedite diagnosis
- Issue summary
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- Key insights
- Supporting quotes
- Intelligence exhibits
- Using technology to inform the natural history of disease
- Issue summary
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- Key insights
- Supporting quotes
- The evolving patient journey map
- Issue summary
- Questions
- Key insights
- Supporting quotes
- Further Reading
- Issue summary
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