Better Together 2025
Page 14 of 29 · WEF_Better_Together_2025.pdf
Value model considerations
A sustainable health data network requires
innovative collaboration models that align incentives
and share value across the public and private
sectors. These include:
–Mutual value creation. The framework should
outline how each partner benefits from the
collaboration, whether it is financial gain, positive
health impact and/or improved value generation
from data. This helps maintain a balanced
partnership in which all parties feel invested.
–Clear and shared objectives. All parties
should have a shared vision of the partnership’s
purpose and goals. Objectives should align
with each partner’s mission and core values to
ensure buy-in from all stakeholders.
–Performance metrics and accountability.
Success metrics, agreed from the outset, enable
partners to track progress and adjust strategies
as needed. Metrics should focus on outcomes,
process improvements and financial impacts.
Definition of data types
The network effect emerges as stakeholders
share interoperable and accessible data between
organizations, increasing the collective dataset’s
value and unlocking new insights and capabilities. As more data is shared, the collective dataset
becomes more valuable, unlocking new insights
and capabilities for all participants. The network will
prioritize certain high-value data types including:
–Electronic health records (EHRs): Offer
detailed insights into patient histories and
health trends
–Behavioural and social determinants of
health (SDOH): Critical for addressing broader
health inequities and enhancing community
health outcomes
–Claims data: Reveals patterns in healthcare use
and associated costs
–Genomic data: Supports personalized
medicine and early disease detection initiatives
–Remote monitoring data: Extends care and
access to treatment and enhances chronic
disease management and preventive care efforts
–Patient-generated data: Active and passive
data generated from patients’ use of health or
wellness-related products and services or direct
inputs; importantly, this can include patient-
reported outcomes measures (PROMs) and
patient-reported experience measures (PREMs)
–Dental data: Indicators can drive more
holistic care decisions, given the many direct
links between oral health and overall health
and well-being23
Better Together: Building a Global Health Network Economy through Data Collaboration
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