Transforming Healthcare With Artificial Intelligence In Pakistan

Abstract

Introduction: In recent years, the healthcare industry has witnessed a revolutionary shift driven by advances in artificial intelligence (AI) and machine learning (ML) technologies. These ground-breaking tools are transforming the way we deliver care, enhance patient outcomes, and optimize healthcare systems.

Objective: The main objective of the study is to find the transformation in healthcare with artificial intelligence in Pakistan

Methodology: This cross-sectional study was conducted at Punjab and Karachi regions from June 2023 to December 2023. Data were collected through a systematically designed questionnaire. There were 550 respondents who participate in the study. It contains questions regarding use of AI in [1]healthcare system. It includes the current use of AI technologies in healthcare facilities, the impact of AI on clinical practices and patient outcomes, challenges and barriers to AI implementation, and attitudes towards AI adoption. 

Results: Data were collected from 550 respondents according to inclusion and exclusion criteria. 21.8% of the participants were aged 30 or below, 54.5% were between 31 and 50 years old, and 23.6% were over 50. Among healthcare professionals, Physicians constituted the largest group (32.7%), followed by Administrators (27.3%), Nurses (21.8%), and Technicians (18.2%), with others accounting for 9.1% of the sample. 60.0% of the participants are both aware of artificial intelligence (AI) and utilize it in some capacity. Additionally, 40.0% are aware of AI but do not utilize it. Notably, 30.0% of the participants are not aware of AI at all. In terms of perceived impact, the majority (80.0%) believe AI has a positive impact, while a smaller percentage (20.0%) perceive it negatively.

Conclusion: It is concluded that AI technologies have the potential to transform healthcare delivery in Pakistan by improving efficiency, accessibility, and quality of care. Our study highlights the need for targeted interventions to connect knowledge gaps, improve access to AI technologies, and address concerns regarding data privacy and security.