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Artificial Intelligence in Health                            Digital and AI strategies for pharmaceutical industry



            4.6. Pharmaceutical enterprises                    the protection of data contributed by pharmaceutical

            For pharmaceutical logistics enterprises, the main   enterprises and users has always been a crucial subject.
            criterion for deciding whether to introduce AI into their   It is of significance for Pakistan to improve and refine
            existing production and operation systems is the degree   the measures to ensure data privacy, but it is difficult to
            to which integrating AI technology with their own   ensure total data security when practitioners or patients in
            business can improve cost-effectiveness. Pharmaceutical   the pharmaceutical industry use new foreign technologies.
            logistics enterprises can establish R&D teams and   Nevertheless, the primary resolution entails expediting
            strengthen cooperation with AI technology exporters to   the  progress  of  R&D,  fostering  the  growth  of  pertinent
            achieve breakthroughs in cutting-edge applications, such   expertise,  dismantling  technological  monopolies,
            as autonomous driving, intelligent medical robots, and   mitigating potential data security hazards, and safeguarding
            drones. While looking for highly mature AI technologies   the personal rights and interests of users.
            for their business system from a wide range of currently
            available technologies, it is recommended that enterprises   5.3. Lack of service platform construction
            evaluate the application results based on small-scale pilot   The trend in the development of the pharmaceutical
            applications and optimize or promote them based on   industry is digitization, convenience, and efficiency. As
            actual results. Continuous experimentations allow for   Japan focuses on building remote and precise medical
            experience accumulation that is valuable for establishing   services, achieving this goal requires efficient operation
            AI technology application logic and system for an   of service platforms and the rapid development of related
            enterprise [30,31] .                               industries. At present, Pakistan needs more pharmaceutical

            5. Challenges in pharmaceutical industry of        enterprise service platforms, and certain areas are set to
                                                               be improved in terms of the integration and development
            Pakistan                                           of related industries. It is challenging to realize remote
            5.1. Lack of digital technology                    and precise medical services if instant access to patient
                                                               electronic medical record data is not made possible and
            The late start of digital construction in Pakistan’s
            pharmaceutical industry has stalled the progress in   the information given to the doctors, pharmaceutical
            implementing digital transformation in the pharmaceutical   companies, and patients is asymmetric.
                   [32]
            industry . There are differences between pharmaceutical   Still, a thorough resolution of these issues requires the
            enterprises and medical institutions in terms of scale,   assistance of robust interactive platforms and expeditious
            scientific research level, talent training, and technological   data transfer. The pharmaceutical business in Pakistan
            development. Some enterprises and hospitals with larger   has to expedite the process of transformation, construct
            scales or higher levels have proposed corresponding   a primary interactive platform, and incorporate complex
            countermeasures for digital transformation. However, for   development principles to secure significant progress in
            other small and medium-sized enterprises and hospitals   the future.
            below Grade IIA, the primary medical information system
            is still in the popularization and construction stages.  6. Conclusions
              Small- and medium-sized enterprises are constrained   The lifespan of a firm is contingent on its capacity
            by data communication barriers in production and R&D   to  implement  sustainability measures,  which in  turn
            work and need mature digital means to support R&D   contribute to its profitability. Cost-effective digital and AI
            work. However, to truly achieve digital transformation, we   solutions facilitate the achievement of flexibility, optimal
            can learn from the US development path, quickly integrate   resource utilization, and enhanced shareholder values
            pharmaceutical enterprises and institutions with the   and profitability. For the widespread application of AI
            information industry, narrow the digital transformation   technology in clinical medical diagnosis, medical industry
            gap, and accelerate R&D at all levels.             personnel and AI developers believe that AI technology
                                                               can promote innovation and reform in the medical
            5.2. Security issues with medical data             industry. Although many consumers are still in a wait-
            From the perspective of the digital development of the EU   and-see mode regarding “AI technology + healthcare,” it
            pharmaceutical industry, data breach has always been a   is perceivable to see any disruptive technology undergo a
            potential risk in digital transformation. Creating and using   lengthy  development and  application  process before  the
            data are the essence of the transformation, but privacy   market accepts it. The development and application of AI in
            and  security issues regarding pharmaceutical data are   pharmaceutical logistics have broad prospects, effectively
            always a challenge. In the context of digital transformation,   promoting the continuous development of the medical


            Volume 1 Issue 1 (2024)                         39                        https://doi.org/10.36922/aih.1486
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