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Artificial Intelligence in Health Health workforces’ algorithmic literacy

Figure 2. Algorithmic literacy framework for individual readiness supported by organizational readiness

3.2.2. Knowledge of a CoP (governance, project management, partnership,
• How does AI work? stakeholder engagement, and outreach) are accounted
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• What are the common AI tools utilized in my for. Our previous research includes an example of an
discipline? operational blueprint for each of the five pillars to enable
• How do I stay informed? ease in implementation and we continue to elaborate
on ALF through the development of guidance for
3.2.3. Applied innovation implementation in specific contexts, primarily in resource-
• What aspect of my work could I potentially improve constraint settings.
with AI? Because ALF is conceptualized and designed as a
• How do I go about it? “How do I know that the AI I readiness framework, each university could utilize it to
am thinking of buying is the right AI for me and for my meet the current needs of their stakeholders (academic
organization?”. 21 staff, faculty, and students). With this in mind, ALF
• What did I find out? provides guidance on developing such curricula so
that AI readiness can be trained within medical/global
3.2.4. Expertise public health departments. Doing so would increase
• What are some ways that I can deepen my knowledge opportunities for collaboration as faculty and students
and skills in AI? would be equipped to communicate ideas and projects
• How can I help others learn? with their computer science/AI counterparts. For
example, for an organizational readiness assessment, ALF
4. Discussion recommends a mixed approach starting with a survey
ALF encourages collaboration through conversations of key questions related to Figure 1, followed by a site
and multi-stakeholder dialogue to create an alignment visit by experts from peer institutions to discuss and
of direction at both organizational and individual levels. recommend areas of enhancement as needed while at the
One of the major challenges in universities is the limited same time offering technical assistance. The survey can
cross-fertilization of knowledge and skills between the be customized by each organization to address the areas
global public health departments, for example, and the of perceived need. The site visit would include interviews
computer science departments. Moreover, globally, those and focus groups with faculty, staff, and students. In
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who are at the forefront of medicine/public health often addition, a set of presentations by key stakeholders in each
do not work together and do not use the same vocabulary of the areas of focus would enable sharing of expertise.
with computer science/AI specialists, and vice versa. It For individual readiness, ALF includes a workshop series
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is imperative to create, at the undergraduate, graduate, focusing on Awareness, Knowledge, Applied Innovation,
and doctoral levels, cross-discipline curricula between and Expertise, as shown in Figure 2. The workshop series
the medical/global public health departments and the design provides participants with guidance to be able to
computer science departments focused on AI readiness. offer similar workshops in their own context.
These joint curricula would include a customized-to-the- However, for ALF to be implemented successfully, it
university curriculum. needs to have a solid foundation within a CoP that is staffed
Implementing ALF within universities sustainably appropriately to manage the readiness efforts. While our
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should follow a CoP model so that the five structural pillars future research efforts expand ALF to enable organizations

Volume 2 Issue 2 (2025) 44 doi: 10.36922/aih.4903