AccScience Publishing / AIH / Volume 1 / Issue 1 / DOI: 10.36922/aih.1486
Cite this article
348
Download
1176
Views
Journal Browser
Volume | Year
Issue
Search
News and Announcements
View All
ORIGINAL RESEARCH ARTICLE

Use of digital transformation and artificial intelligence strategies for pharmaceutical industry in Pakistan: Applications and challenges

Khadija Shoukat1 Min Jian1* Muhammad Umar2 Habiba Kalsoom3 Wasim Sijjad4 Shahid Hussain Atta5 Asad Ullah6
Show Less
1 School of Management, Wuhan University of Technology, Wuhan, Hubei, China
2 Department of English Linguistics, The Islamia University of Bahawalpur, Bahawalpur, Punjab, Pakistan
3 Department of Zoology, The Government Sadiq College Women University, Bahawalpur, Punjab, Pakistan
4 Department of Pharmacy, Shaheed Benazir Bhutto University, Sherengal, Khyber Pakhtunkhwa, Pakistan
5 Department of Social Science, The National College of Business Administration and Economics, Rahim Yar Khan, Punjab, Pakistan
6 School of Arts and Commerce, University of the Punjab, Lahore, Punjab, Pakistan
AIH 2024, 1(1), 32–41; https://doi.org/10.36922/aih.1486
Submitted: 9 August 2023 | Accepted: 8 September 2023 | Published: 25 October 2023
© 2023 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

The widespread application of artificial intelligence (AI) technology in Industry 4.0 can improve the work efficiency of doctors and help more patients. The application direction of AI in pharmaceutical logistics can be roughly divided into two types: First, AI technology empowers intelligent devices, and second, it improves labor efficiency through software systems. This article summarizes the digital development of the pharmaceutical industry in the United States, the European Union, and Japan, analyzes the current status and shortcomings of digital development in Pakistan’s pharmaceutical industry, and proposes digital development strategies for Pakistan’s pharmaceutical industry. The development of the domestic Internet has promoted the reform and progress of the pharmaceutical industry, but the policy development of digital applications needs to catch up. The digital transformation of the pharmaceutical industry faces problems such as the need for digital technology support for new drug research and development, medical data security problems, and the need for service platform construction for pharmaceutical enterprises. Finally, this article provides feasible suggestions for the better application of AI technology in Pakistan’s pharmaceutical industry by reviewing the research status, development trends, and development bottlenecks of AI technology in this area.

Keywords
Digitization
Artificial intelligence
Pharmaceutical industry
Development strategy
Management
Medical field
Funding
None.
References
  1. Shoukat MU, Yan L, Zou B, et al., 2022, Application of Digital Twin Technology in the Field of Autonomous Driving Test. In: 2022 Third International Conference on Latest trends in Electrical Engineering and Computing Technologies (INTELLECT). United States: IEEE. p1–6.

 

  1. Niaz A, Shoukat MU, Jia Y, et al., 2021, Autonomous Driving Test Method Based on Digital Twin: A survey. In: 2021 International Conference on Computing, Electronic and Electrical Engineering (ICE Cube). United States: IEEE. p1–7.

 

  1. Shoukat MU, Yu S, Shi S, et al., 2021, Evaluate the Connected Autonomous Vehicles Infrastructure Using Digital Twin Model Based on Cyber-Physical Combination of Intelligent Network. In: 2021 5th CAA International Conference on Vehicular Control and Intelligence (CVCI). United States: IEEE. p1–6.

 

  1. Ghadimi P, Wang C, Lim MK, et al., 2019, Intelligent sustainable supplier selection using multi-agent technology: Theory and application for Industry 4.0 supply chains. Comput Ind Eng, 127: 588–600. https://doi.org/10.1016/j.cie.2018.10.050

 

  1. Savage N, 2021, Tapping into the drug discovery potential of AI. Nature, B37–B39. https://doi.org/10.1038/d43747-021-00045-7

 

  1. Shoukat MU, Yan L, Du C, et al., 2022, Application of Digital Twin in Smart Battery Electric Vehicle: Industry 4.0. In: 2022 International Conference on IT and Industrial Technologies (ICIT). United States: IEEE. p1–7.

 

  1. Akbulut S, Semantha FH, Azam S, et al., 2023, Designing a private and secure personal health records access management system: A solution based on IOTA distributed ledger technology. Sensors, 23: 5174. https://doi.org/10.3390/s23115174

 

  1. Dash S, Priyadarshini S, Mohanty SN, et al., 2023, Quantum computing in netnomy: A networking paradigm in e‐pharmaceutical setting. In: Evolution and Applications of Quantum Computing. United States: Wiley. p145–161.

 

  1. Sikandar H, Abbas AF, Khan N, et al., 2022, Digital technologies in healthcare: A systematic review and bibliometric analysis. Int J Online Biomed Eng, 18: 34–48. https://doi.org/10.3991/ijoe.v18i08.31961

 

  1. Miller DA, Zarowitz BJ, Petitta A, et al., 1993, Pharmacy technicians and computer technology to support clinical pharmacy services. Am J Hosp Pharm, 50: 929–934. https://doi.org/10.1093/ajhp/50.5.929

 

  1. Barton AJ, 2012, The regulation of mobile health applications. BMC Med, 10: 1–4.

 

  1. Cortez N, 2019, Digital health and regulatory experimentation at the FDA. Yale J Law Tech, 21: 4.

 

  1. Han JH, Lee JY, 2021, Digital Healthcare Industry and Technology Trends. In: 2021 IEEE International Conference on Big Data and Smart Computing (BigComp). United States: IEEE. p375–377.

 

  1. Chadwick A, May C, 2003, Interaction between states and citizens in the age of the internet:“e‐Government” in the United States, Britain, and the European Union. Governance, 16: 271–300. https://doi.org/10.1111/1468-0491.00216

 

  1. Coates K, Holroyd C, Coates K, et al., 2003, Japan.com: Government and the promise of the internet society. In: Japan and the Internet Revolution. Germany: Springer. p41–67.

 

  1. Nawaz SA, Li J, Bhatti UA, et al., 2021, A hybrid approach to forecast the COVID-19 epidemic trend. PLoS One, 16: e0256971. https://doi.org/10.1371/journal.pone.0256971

 

  1. Bani Issa W, Al Akour I, Ibrahim A, et al., 2020, Privacy, confidentiality, security and patient safety concerns about electronic health records. Int Nurs Rev, 67: 218–230. https://doi.org/10.1111/inr.12585

 

  1. Pantelimon FV, Georgescu TM, Posedaru BŞ, 2020, The impact of mobile e-commerce on gdp: A comparative analysis between Romania and Germany and how covid-19 influences the e-commerce activity worldwide. Inform Econ, 24: 27–41. https://doi.org/10.24818/issn14531305/24.2.2020.03

 

  1. Arden NS, Fisher AC, Tyner K, et al., 2021, Industry 4.0 for pharmaceutical manufacturing: Preparing for the smart factories of the future. Int J Pharm, 602: 120554. https://doi.org/10.1016/j.ijpharm.2021.120554

 

  1. Miao Z, 2021, Digital economy value chain: Concept, model structure, and mechanism. Appl Econ, 53: 4342–4357. https://doi.org/10.1080/00036846.2021.1899121

 

  1. Deserno TM, Jakob R, 2020, Accident and Emergency Informatics: Terminologies and Standards are Needed for Digital Health in the Early Rescue Chain. In: 2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT). United States: IEEE. p1–5.

 

  1. Al-Rawashdeh M, Keikhosrokiani P, Belaton B, et al., 2022, IoT adoption and application for smart healthcare: A systematic review. Sensors, 22: 5377. https://doi.org/10.3390/s22145377

 

  1. Győrffy Z, Radó N, Mesko B, 2020, Digitally engaged physicians about the digital health transition. PLoS One, 15: e0238658. https://doi.org/10.1371/journal.pone.0238658

 

  1. Javaid S, Zeadally S, Fahim H, et al., 2022, Medical sensors and their integration in wireless body area networks for pervasive healthcare delivery: A review. IEEE Sens J, 22: 3860–3877. https://doi.org/10.1109/jsen.2022.3141064

 

  1. Braun M, Hummel P, Beck S, et al., 2021, Primer on an ethics of AI-based decision support systems in the clinic. J Med Ethics, 47: e3. https://doi.org/10.1136/medethics-2019-105860

 

  1. Barrett M, Boyne J, Brandts J, et al., 2019, Artificial intelligence supported patient self-care in chronic heart failure: A paradigm shift from reactive to predictive, preventive and personalised care. EPMA J, 10: 445–464. https://doi.org/10.1007/s13167-019-00188-9

 

  1. Rodríguez-Espíndola O, Chowdhury S, Beltagui A, et al., 2020, The potential of emergent disruptive technologies for humanitarian supply chains: The integration of blockchain, artificial intelligence and 3D printing. Int J Prod Res, 58: 4610–4630. https://doi.org/10.1080/00207543.2020.1761565

 

  1. Fang LB, Wang X, Tang L, 2023, What condition leads to an unreasonable pharmaceutical price? Impact research on the effect of medical service provision on pharmaceutical price regulation based on fuss-set QCA. PLoS One, 18: e0284129. https://doi.org/10.1371/journal.pone.0284129

 

  1. Oladimeji D, Gupta K, Kose NA, et al., 2023, Smart transportation: An overview of technologies and applications. Sensors, 23: 3880. https://doi.org/10.3390/s23083880

 

  1. Niaz A, Khan S, Niaz F, et al., 2022, Smart City IoT Application for Road Infrastructure Safety and Monitoring by Using Digital Twin. In: 2022 International Conference on IT and Industrial Technologies (ICIT). United States: IEEE. p1–6.

 

  1. Jabeen N, Hao R, Niaz A, et al., 2022, Autonomous Vehicle Health Monitoring Based on Cloud-Fog Computing. In: 2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE). United States: IEEE. p1–6.

 

  1. Malik MA, Khan HR, 2009, Understanding the Implementation of an Electronic Hospital Information System in a Developing Country: A Case Study from Pakistan. In: Proceedings of the Third Australasian Workshop on Health Informatics and Knowledge Management. Vol. 97. Australia. p31–36.
Conflict of interest
The authors declare no competing of interest.
Share
Back to top
Artificial Intelligence in Health, Electronic ISSN: 3029-2387 Published by AccScience Publishing