The Role of Artificial Intelligence in Optimizing Electronic Health Records for Early Detection of Disease

Yuda Syahidin; Ade Irma Suryani

doi:10.38035/dijemss.v6i3.4024

Authors

Yuda Syahidin Health Information Management, Piksi Ganesha Politechnic, Bandung, Indonesia
Ade Irma Suryani Medical Records and Health Information, Piksi Ganesha Politechnic, Bandung, Indonesia

DOI:

https://doi.org/10.38035/dijemss.v6i3.4024

Keywords:

Predictive Analytics, Electronic Health Record, Machine Learning

Abstract

The Role of Artificial Intelligence in Optimizing Electronic Health Records for Early Detection of Disease is a critical focus area, as AI technologies enhance the ability to analyze vast datasets within EHRs, facilitating timely identification of health risks and improving patient outcomes. By leveraging AI, healthcare providers can streamline data management processes and support more accurate and efficient predictions, ultimately leading to better disease management and resource allocation. This paper emphasizes the importance of integrating artificial intelligence into EHR systems to maximize their potential for early disease detection and improve overall healthcare delivery.

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