Real-World Data (RWD) can be highly valuable for many stakeholders in healthcare, such as pharma, MedTech, payers, or hospitals. RWD could potentially help in drug and medical device label extension, discovery, identification of unmet needs, stratification of populations, and identification of high-risk patients, among others.
While RWD can come from many sources, DTx solutions are proving to be excellent data-gathering tools. How can DTx companies monetize the RWD they generate? Can they build a business model around this? Join other senior leaders in this session to discuss the following:
Is selling this anonymized data a sustainable revenue stream for DTx companies? How much revenue can DTx make from this business model?
How can DTx companies combine their RWD with other data sets to build richer profiles that are easier to monetize? How can DTx companies work together with other organizations to generate and standardize data before selling it?
Buyers’ quality standards for DTx-generated RWD: do DTx companies meet these standards? Do the potential buyers (like pharma, MedTech, payers, etc.) prefer to collect the data using their own capabilities?
Challenges and barriers when selling RWD: convincing of the value, lack of trust in DTx-generated data, privacy concerns, compliance, access to raw data, ownership of the data, regulations, etc.?
Are stakeholders like pharma or payers currently using RWD? What data points can DTx companies easily sell?
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