Skip to content
Research Article Open access CC BY 4.0

Study of the Role of New Technologies in Pharmaceutical Industry

Zaffar Ahmed Shaikh, Anwar Ali Sathio, Asif Ali Laghari, Mashooq Ahmed Memon, Ibrar Hussain Mirani

Journal of Pharmaceutical Research International · pp. 1–11 · Published 18 Nov 2019

10.9734/jpri/2019/v31i630313

Abstract

The objective of this study was to assess the importance and impact of new technologies in the pharmaceutical industry. The study also explores strategic visions for the development of technical requirements, the recognition of IT inventions that support patient care services and the assessment of pharmacists’ willingness to adopt inventions. The assumptions were therefore to assess the impact, positive or negative, of the use of new technologies on the pharmaceutical industry. Two kinds of respondents took part in collecting primary and secondary datasets. Thus, 100 participants were selected for questionnaire and 15 for interview-based data input. Pharmacy students, teachers/researchers, and employees of the pharmaceutical companies were included. The study concludes that new technologies have had a positive effect on the growth of the pharmaceutical industry. About the future, it is concluded that new technologies will give the pharmaceutical industry more advantages in expanding their businesses in their chosen fields. On the other hand, it is also concluded that some of the respondents are not satisfied with some technologies used. The study recommends that pharmacists organize training courses to educate employees on new technologies. It also suggests that Artificial Intelligence should be implemented in the pharmaceutical sector, which may not reduce the employment of individuals because this will lead to a considerable loss of Artificial Intelligence errors.

Artificial intelligence barcode medicine identification internet electronic medical record mobile technology Telecare technology electronic prescription and discharge system pharmaceutical industry new technologies pharmacists technology.

Cited by 8

Meta-analysis of large language models: benchmarking DeepSeek-R1 against ChatGPT, Gemini, Qwen, and LLaMA

S. Awan, Muazzam Ali Khan Khattak, Abdullah Ayub Khan · Journal of Big Data · 2025

Emerging technology trends in Pharmaceutical industry

Grishma Patel, Bhumi P Suratiya, Dhara Patel · World Journal of Biology Pharmacy and Health Sciences · 2024

W-rank: A keyphrase extraction method for webpage based on linguistics and DOM-base features

H. Shah, Shafique Ahmed, Anwar Ali Sathio · VAWKUM Transactions on Computer Sciences · 2023

Dynamic Content Enabled Microservice for Business Applications in Distributed Cloudlet Cloud Network

Mujeeb ur Rehman Shaikh, Anwar Ali Sathio, A. Lakhan · International Journal of Emerging Trends in Engineering Research · 2021

Deep Learning in Predictive Image Analysis and Forecasting

Anwar Ali Sathio, Muhammad Malook Rind, Shafique Ahmed Awan · Advances in Computational Intelligence and Robotics · 2025

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

8

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.