Impact of Early Cancer Diagnosis in Healthcare System

EasyChair Preprint 15174

Abstract

Early cancer diagnosis plays a pivotal role in improving patient outcomes and reducing mortality rates. This research paper investigates the impact of early cancer detection on the healthcare system, examining the benefits, challenges, and implications for clinical practice. By leveraging data from various cancer registries and healthcare databases, we analyse the correlation between early diagnosis and treatment efficacy, patient survival rates, and healthcare costs. Our study reveals that early diagnosis significantly enhances the efficacy of treatment protocols, leading to higher survival rates and better quality of life for patients. Early-stage cancer detection often results in less aggressive treatments, which are not only more effective but also less costly, thereby reducing the overall burden on the healthcare system. Additionally, we explore the role of advanced diagnostic technologies, including imaging techniques and molecular diagnostics, in facilitating early detection. However, the implementation of early diagnostic strategies faces several challenges, such as accessibility, healthcare disparities, and the need for robust screening programs. The paper discusses these obstacles and suggests potential solutions to improve early cancer diagnosis rates.

Keyphrases: Cancer diagnosis, Healthcare, machine learning

@booklet{EasyChair:15174,
  author    = {Payel Bakshi and Sudipta Hazra and Siddhartha Chatterjee and Payel Ghosh},
  title     = {Impact of Early Cancer Diagnosis in Healthcare System},
  howpublished = {EasyChair Preprint 15174},
  year      = {EasyChair, 2024}}