Earning Trust for AI in Health 2025
Page 11 of 21 · WEF_Earning_Trust_for_AI_in_Health_2025.pdf
Exceptions to market access practices in healthcare
Regulatory sandboxes in healthBOX 1
BOX 2Health regulators already adapt their regulatory
practices in emergency situations. For instance,
many regulators grant access to drugs before
market authorization for patients suffering from
a serious illness who have no viable treatment
options available to them:
–Expanded Access Program (EAP) in the
United States
–Temporary Authorization for Use in France
–Early Access Medicine Scheme in the United
Kingdom
–Exceptional Use Authorization (EUA) for
medical devices in the United KingdomThese schemes operate under regulatory oversight
and are often time-limited and evidence-dependent.
Similarly, dedicated frameworks support provisional
access to digital health technologies while evidence
is still being generated:
–PECAN (France): pilot allowing provisional access
for digital tools with ongoing data collection
–DiGA (Germany): provisional fast-track
reimbursement for digital health apps
–Early Value Assessment (United Kingdom):
rapid assessment of technologies addressing
unmet needs
A sandbox is a framework created by health
authorities or regulatory agencies to allow
healthcare innovators to test new digital health
technologies with tailored regulatory constraints.
A sandbox often provides resources, such
as datasets or advisory support, to assist
innovators and can even extend to creating
digital public goods – open access software or
data intended to contribute to sustainable digital
development, for example.Sandboxes for AI can:
–Enhance the understanding of AI solutions
before they enter the market
–Support the development of effective
enforcement policies and technical guidance
to mitigate risks
–Foster AI innovation by providing a
controlled testing environment for
emerging AI technologies26Dedicated testing environments such as
regulatory sandboxes can help promote the
development of high-quality AI technologies in
health (see Box 2 for definition). Sandboxes must
be adapted to the context and environment in which
they operate. In countries with comprehensive
regulatory frameworks, sandboxes can focus on
tailoring or modifying regulatory provisions and
processes, while they should provide a foundational
framework to support innovation in countries (Lebanon and Pakistan, for example) that are
still developing a clear regulatory framework.24
Furthermore, it is important that regulatory
sandboxes are focused on a specific industry (e.g.
healthcare) so that any sector-specific requirements
can be embedded in the design of the sandbox
(such as in Portugal).25 Carefully designed regulatory
sandboxes can help innovators collect insights on
the real-world performance of AI technologies in
health while ensuring that patient safety and privacy
are protected within a clearly defined environment. 2.2 Sandboxes provide a safe space in which the
private sector can innovate
For example, the United Kingdom’s Medicines
and Healthcare products Regulatory Agency
(MHRA) launched AI Airlock in spring 2024, its
first regulatory sandbox for AI as a Medical Device
(AIaMD). The goal of the project is to understand
and accelerate “solutions to novel regulatory
challenges for AIaMD” due to a marked increase in innovative devices entering the UK market. The
MHRA is seeking to “balance appropriate oversight
to protect patient safety with the agility needed to
respond to the particular challenges presented by
these products to ensure that regulation does not
present undue barriers to innovation”.27
Earning Trust for AI in Health: A Collaborative Path Forward
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