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Exploring Health Informatics in the Battle against Drug Addiction: Digital Solutions for the Rising Concern.

Shakila Jahan Shimu1, Srushti Moreshwar Patil2, Ebenezer Dadzie3

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Health informatics and artificial intelligence offer new solutions for the global drug addiction crisis. These technologies can track patient data, identify risks, and personalize care to combat substance use disorders effectively.

Keywords:
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Area of Science:

  • Health Informatics
  • Artificial Intelligence
  • Public Health

Background:

  • Drug addiction and substance use disorders are a significant global health concern, particularly in the United States, with high rates of untreated cases and overdose deaths.
  • Current strategies for managing drug addiction have proven insufficient, necessitating innovative approaches.
  • Over 70,000 overdose deaths occur annually in the US, highlighting the urgency of the crisis.

Purpose of the Study:

  • To explore the potential of health informatics platforms and artificial intelligence in addressing the drug addiction crisis.
  • To investigate how these technologies can improve patient data tracking, risk factor identification, and personalized treatment for substance use disorders.
  • To enhance the effectiveness of existing programs like the Prescription Drug Monitoring Program (PDMP) and Drug and Alcohol Services Information Systems (DASIS).

Main Methods:

  • Leveraging health informatics platforms such as electronic health records, telemedicine, and clinical decision support systems.
  • Utilizing artificial intelligence for analyzing large-scale patient data to classify addiction types.
  • Integrating AI with health informatics to identify and mitigate drug addiction risk factors and monitor prescriptions for addictive drugs.

Main Results:

  • Health informatics platforms can individually track patient data, offering private and precise medical support.
  • These technologies can identify risk factors for drug addiction and aid in mitigation strategies.
  • AI combined with health informatics enables personalized care by analyzing patient data and classifying addiction types.

Conclusions:

  • Health informatics and AI present promising tools for combating the drug addiction crisis by enabling data-driven insights and personalized interventions.
  • Further in-depth studies are required to fully realize the potential of these technologies in mitigating substance use disorders.
  • The integration of AI into health informatics can significantly enhance the management and treatment of drug addiction.