Harnessing Technology and Data Analytics to Advance Prevention and Treatment in the Opioid Crisis

Author(s)	Mr. Bhaskara Rao Arepalli
Country	United States
Abstract	The opioid crisis continues to be a critical public health emergency, exacerbated by factors such as the COVID-19 pandemic and evolving patterns of substance misuse. This article examines how technology and data analytics are enhancing prevention strategies and improving treatment outcomes for opioid misuse. By leveraging predictive analytics, prescription drug monitoring programs, telemedicine, artificial intelligence, and mobile health applications, stakeholders can identify at-risk populations, optimize interventions, and personalize care. The integration of these technologies presents significant opportunities to address the crisis more effectively while introducing challenges related to data privacy, equity, and interoperability. This article explores current applications, highlights successful case studies, and discusses future directions for utilizing technology and data analytics in combating the opioid epidemic.
Keywords	Opioid Crisis, Data Analytics, Technology, Prevention, Treatment, Predictive Analytics, Prescription Drug Monitoring Programs, Telemedicine, Artificial Intelligence, Mobile Health Applications,COVID-19 Pandemic
Field	Computer Applications
Published In	Volume 5, Issue 5, September-October 2023
Published On	2023-10-04
DOI	https://doi.org/10.36948/ijfmr.2023.v05i05.31737
Short DOI	https://doi.org/g8w237

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research