Digital Health Platforms for life sciences & healthcare
The life sciences and healthcare industries are producing an ever increasing amount of data – DHPs hold the key to harnessing it.
What's in for you?
Answers to key questions facing all companies who want to evolve into end-to-end health solution providers.
1
How can you access and process siloed data?
2
How can you build an IT infrastructure to store and handle sensitive data whilst guaranteeing quality, privacy, and security compliance?
3
How can life sciences and healthcare businesses develop the core competencies needed to turn health data insight into action?
DHPs can allow the life sciences and healthcare industries to overcome these obstacles
But there are many ways to approach DHPs – e.g. should you build or buy a DHP solution?
The Build vs. Buy question
Building, buying and managing systems to support digital health products is a new game for life sciences and healthcare organizations. There are four main routes they can take:
1
Build an end-to-end platform internally
Affords connectivity and data access but requires significant time, effort, and capital investment. In-house expertise need to be developed to ensure longevity of the platform.
2
Build a platform with an expert partner (buying non-core capabilities)
Affords the connectivity and data access needed to build an in-house platform. Allows for expert partnerships for non-competencies or specific capabilities.
3
Buy/partner with a cloud service provider
Makes accessing domain-specific capabilities and appropriate health data sets a challenge. Gives reduced autonomy over ecosystem partner choices.
4
Partner with a MedTech Platform As A Service provider
Partnering with a MedTech PAAS (Platform As A Service) ensures access to domain specific capabilities. Also affords increased scalability and flexibility.
Blaise K. Jacholkowski
Principal Business Consultant Pharma & Life Sciences / Digital Health
blazej.jacholkowski@zuehlke.com