A Guide for Innovation in Healthcare

Data foundations for an AI innovation plan

A series of recommendations to build an AI strategy within your company, plus some ideas to spark your creativity and come with new, innovative use cases.


A Guide for Innovation in Healthcare

Data foundations for an AI innovation plan

A series of recommendations to build an AI strategy within your company, plus some ideas to spark your creativity and come with new, innovative use cases.


A Guide for Innovation in Healthcare

Data foundations for an AI innovation plan

A series of recommendations to build an AI strategy within your company, plus some ideas to spark your creativity and come with new, innovative use cases.


Brief summary

Brief summary

Healthcare is being completely reshaped by AI, not implementing a AI strategy may translate into staying behind the competition but more importantly you are loosing the opportunity to improve peoples lives. However, implementing AI requires a well-defined pathway to ensure success and, of course, to avoid misspending.

This ebook marks the beginning of a series that covers the essential steps for developing a strategy for AI innovation in healthcare.
Data is the foundation of it all, so in this first delivery you will find:

  • How to identify relevant data sources

  • Recommendations for retrospective data collection

  • Implementable data management strategy

  • A collection of tips and tricks along the way

  • Self-assesment checklist towards a data management policy

Healthcare is being completely reshaped by AI, not implementing a AI strategy may translate into staying behind the competition but more importantly you are loosing the opportunity to improve peoples lives. However, implementing AI requires a well-defined pathway to ensure success and, of course, to avoid misspending.

This ebook marks the beginning of a series that covers the essential steps for developing a strategy for AI innovation in healthcare.
Data is the foundation of it all, so in this first delivery you will find:

  • How to identify relevant data sources

  • Recommendations for retrospective data collection

  • Implementable data management strategy

  • A collection of tips and tricks along the way

  • Self-assesment checklist towards a data management policy

Healthcare is being completely reshaped by AI, not implementing a AI strategy may translate into staying behind the competition but more importantly you are loosing the opportunity to improve peoples lives. However, implementing AI requires a well-defined pathway to ensure success and, of course, to avoid misspending.

This ebook marks the beginning of a series that covers the essential steps for developing a strategy for AI innovation in healthcare.
Data is the foundation of it all, so in this first delivery you will find:

  • How to identify relevant data sources

  • Recommendations for retrospective data collection

  • Implementable data management strategy

  • A collection of tips and tricks along the way

  • Self-assesment checklist towards a data management policy

Start your AI Journey

If you want to start experimenting or implementing AI but don't know how or need help and guidance for a specific idea? Schedule a call with us to run an AI Journey Jumpstart Workshop and learn the necessary steps to move forward.