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Course Information
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Pharma possesses huge
amounts of high-quality data from clinical trials. This data can be repurposed
in a multitude of areas, which have the potential to increase effectiveness of
clinical trials, decrease the need of patient enrollment and optimize the drug
development process in several ways, which can ultimately decrease the price of
new medicine. Hence, the sharing of data between pharma companies can
significantly reduce the cost of drugs and the time to launch and fill some of
the gaps of documented real-world effect. It thus seems that data is the new
oil.
This course explores the question: How can pharma companies evaluate the value
and start trading data, thus competing with Amazon and Google in the market for
data? To enable the reuse of data, pharma needs to understand the value and
price tag to create a clinical data market. Such a data market has some
challenges. Data acts differently than other commodities. If unused, it has no
value, but it can be copied infinitely, thus scarcity of a certain data set
does not exist. This course will discuss the importance of a clinical data
market and shine light on why data is such a potent business case for pharma.
The course will propose a framework for valuing data in a concrete case. Gain
an understanding of the dynamics of valuing data and this emerging business
area to put a price on your own pharma or biotech company’s data sets.
After the completion of this course participants will be able to:
• Describe data trading as a potential new business model in pharma
• Understand the nature of data as a commodity
• Understand the framework for valuing data
• Gain access to the tools to access value of own data sets The access period once enrolled into the course is 60 days from the date of purchase. After this duration, you will need to re-enroll if you wish to re-enter the course. Time to complete – approximately 4-6 hours HEOR Key Competencies1.4 Business Operations, Including the Business Planning Process (learn more)
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Speakers
Tove Holm-Larsen
Organization: Silvi.ai
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Fees
- Course: The Value of Data: Frameworks for Pharma Companies to Value and Trade Data Non Member Price: $340.00
- Course: The Value of Data: Frameworks for Pharma Companies to Value and Trade Data Member Price: $255.00
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