AI-Enhanced Predictive Analytics in Optimizing Patient Outcomes within Pakistan's Healthcare System

Authors

  • Sidra Abid Dow university of health sciences
  • Humna Rafiq Dow University of Health Sciences
  • Maha Zehra Dow University of Health Sciences

DOI:

https://doi.org/10.36283/PJMD13-2/019

Abstract

Dear Editor,

AI integration in healthcare, particularly in low- and middle-income countries such as Pakistan, offers revolutionary opportunities by automating processes, analyzing data, and improving healthcare efficiency while addressing staffing and financial resource challenges. Pakistan's health and disease burden is in the bottom 25% of the world in terms of predictive analytics on outcomes for patients. The country is witnessing an increase in innovative healthcare projects that use artificial intelligence and statistical analysis to anticipate the effects on patients, influencing the future of healthcare delivery and therapeutic approaches.

References

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Sheng JQ, Hu PJ, Liu X, Huang TS, Chen YH. Predictive Analytics for Care and Management of Patients with Acute Diseases: Deep Learning-Based Method to Predict Crucial Complication Phenotypes. J Med Internet Res. 2021;23(2):e18372. doi: 10.2196/18372.

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Published

2024-04-16

How to Cite

Abid, S., Rafiq, H., & Zehra, M. (2024). AI-Enhanced Predictive Analytics in Optimizing Patient Outcomes within Pakistan’s Healthcare System. Pakistan Journal of Medicine and Dentistry, 13(2), 121–122. https://doi.org/10.36283/PJMD13-2/019

Issue

Vol. 13 No. 2 (2024): Pakistan Journal of Medicine and Dentistry. April - June

Section

Letter to the Editor

License

Copyright (c) 2024 Pakistan Journal of Medicine and Dentistry

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This is an open-access article distributed under the terms of the CreativeCommons Attribution License (CC BY) 4.0 https://creativecommons.org/licenses/by/4.0/

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