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Artificial Intelligence in Health Digital and AI strategies for pharmaceutical industry

for real-time data collection, uploading, and analysis,
thereby achieving real-time dynamic management,
transforming “passive service” to “active management,”
and strengthening the deepening of thinking.
3.4. Top-level design and coordinate

The digitalization of the pharmaceutical industry includes
but is not limited to digital medicine, digital medical
insurance, and digital healthcare. For different digital
directions, robust top-level design is needed for centralized
control to more efficiently promote the development of
digitalization in the pharmaceutical industry. For example,
a remote digital medical health system for medical
information sharing can be built, based on the support
of body area network technology, so that doctors on the
server side can provide convenient medical services for
Figure 3. Flowchart of building digitalized plant.
patients based on the uploaded data . At the same time,
[24]
with the continuous improvement of telemedicine, body
and health as the foundation, use science and technology
as the framework, fill the gaps in digital R&D of new drugs, area network technology can be applied to families and
and build an integrated, regional, and intelligent medical communities, which will form a wider biosensor area
information system to promote the continuous digital and enable more individual data to be uploaded. At the
development of Pakistan’s pharmaceutical industry . level of pharmaceutical supervision, the construction
[22]
of the “drug supervision brain” can be referred to as
3.3. Law enforcement and data confidentiality multi-regional intelligent supervision, which helps
promote the establishment of Pakistan’s drug traceability
At this stage, the Pakistan’s legislation in medicine and system. At present, Pakistan has established a vaccine
health technology is being gradually strengthened.
In short, a complete legal system must be in place to traceability supervision system in Punjab, KPK, and other
safeguard the confidentiality of data and prevent data leak. places; established a rapid monitoring and joint control
platform during the COVID-19 epidemic; and formed a
It is important to note that imposing very stringent data comprehensive digital epidemic prevention and control
protective measures will essentially block the use of data for system. The general concepts of building smart factory
benevolent purposes; therefore, it is of utmost importance
to tread a fine line between ensuring data security and in adherence to the principles of Industry 4.0 cover the
allowing reasonable flow of data to realize its maximum following: Building smart factory, introducing innovative
and integrated solutions, opening up data network among
application value .
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the factories, allocating resources, allocating capacity,
As the digital development of the pharmaceutical improving utilization, and realizing intelligent production
industry continues to evolve, the concept of digital health in smart factory (as shown in Figure 4).
has achieved a higher level of popularity. Digital health
covers a wide range and involves a complex field. While In the future, technologies such as 5G, blockchain, and
improving the legal system, it is also necessary to change the AI can be combined to strengthen the construction of
concept of governance and cultivate the guiding thinking top-level digital design in the pharmaceutical industry. At
of digital health. First, based on big data, we can analyze the same time, the internet system can be used to create a
the diseases of susceptible groups and regions, issue early multi-level regulatory platform for the country, industry,
warning of imminent disease, realize the transformation and society that can uniformly monitor, schedule, and
from “single patient service” to “group service,” and manage all data, thereby building a more comprehensive
increase service efficiency. Second, with the advent of regulatory system for better regulatory decision-making.
digital health, we can utilize data shared on platforms to 4. AI applications in the pharmaceutical
accurately depict the “health picture” of individuals and industry
groups, which is instrumental for the transformation from
“specific health project management” to “comprehensive Medical data resources are scattered, and due to the
health management” and the improvement of service particularity of the data and its low openness, it becomes
precision. Third, various digital platforms can be utilized challenging to fuse and analyze a large amount of data.

Volume 1 Issue 1 (2024) 37 https://doi.org/10.36922/aih.1486