The Impact of AI-Powered Diagnostics, Personalized Medicine, and Digital Health Records on Patient Care Quality

Authors

  • Lestari Rahmah Poltekkes Kemenkes Medan Author
  • Sri Wianti STIKES Panti Kosala Author
  • Wiwie Herdalisah Universitas Bani Saleh Author
  • Reza Yuridian Purwoko Faculty of Medicine President University, Mandaya Hospital Group, Research Center for Preclinical & Clinical Medicine, National Research & Innovation Agency Author
  • Flora Eka Sari FKM Universitas Pertahanan RI Author

DOI:

https://doi.org/10.59613/d3zpmw11

Abstract

This study examines the impact of AI-powered diagnostics, personalized medicine, and digital health records on patient care quality through a qualitative literature review. By synthesizing findings from a wide range of academic journals, clinical studies, and industry reports, this research aims to provide a comprehensive overview of how these technologies are transforming healthcare delivery and outcomes. The literature reveals that AI-powered diagnostics significantly enhance the accuracy and efficiency of medical diagnoses by leveraging large datasets and advanced algorithms to identify patterns that are often missed by traditional methods. This leads to earlier detection of diseases and more precise treatment plans, which in turn improves patient care quality.

Personalized medicine, which tailors healthcare interventions based on individual genetic profiles and specific health conditions, further enhances patient outcomes by providing targeted therapies that are more effective and have fewer side effects. The integration of digital health records streamlines the management of patient information, facilitating seamless communication between healthcare providers and enabling better coordination of care. These records also empower patients by providing them with easy access to their health information, thus promoting patient engagement and self-management.

Despite the promising benefits, the study highlights challenges such as concerns over data privacy, the need for significant infrastructure investments, and the requirement for ongoing training for healthcare professionals. The findings suggest that while AI-powered diagnostics, personalized medicine, and digital health records hold significant potential for improving patient care quality, their successful implementation requires addressing ethical, logistical, and educational challenges. This research provides valuable insights for healthcare practitioners, policymakers, and technology developers committed to advancing patient care.

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Published

2024-07-29