Detecting Anomalous Networks of Opioid Prescribers and Dispensers in Prescription Drug Data
نویسندگان
چکیده
The opioid overdose epidemic represents a serious public health crisis, with fatality rates rising considerably over the past several years. To help address abuse of prescription opioids, state governments collect data on dispensed prescriptions, yet use these is typically limited to manual searches. In this paper, we propose novel graph-based framework for detecting anomalous prescribing patterns in Prescription Drug Monitoring Program (PDMP) data, which could aid deterring diversion and abuse. Specifically, seek identify connected networks prescribers dispensers who engage high-risk possibly illicit activity. We develop apply extension Non-Parametric Heterogeneous Graph Scan (NPHGS) two years de-identified PDMP from Kansas, find that NPHGS identifies subgraphs are significantly more than those detected by other methods. also reveals clusters potentially activity, may strengthen law enforcement regulatory capabilities. Our paper first demonstrate how can systematically dispensers, as well illustrating efficacy network-based approach. Additionally, our technical extensions offer both improved flexibility graph density reduction, enabling be replicated across jurisdictions extended problem domains.
منابع مشابه
Concern about the Expanding Prescription Drug Epidemic: A Survey of Licensed Prescribers and Dispensers.
BACKGROUND Prescription drug misuse and abuse has reached epidemic levels in the U.S., and stands as a leading cause of death. As the primary gatekeepers to the medications contributing to this epidemic, it is critical to understand the views of licensed health care professionals. OBJECTIVE In this study, we examine health care professionals' concern regarding prescription drug abuse in their...
متن کاملDetecting Anomalies in Controlled Drug Prescription Data Using Probabilistic Models
Opioid analgesic drugs are widely used in pain management and substance dependence treatment. However, these drugs have high potential for misuse and subsequent harm. As a result, their prescribing is monitored and controlled. In Queensland, Australia, the Medicines Regulation and Quality Unit within the state health system maintains a database of prescribing events and uses this data to identi...
متن کاملExamining Brain Networks in Prescription Opioid Users
Prescription opioid dependence has reached epidemic proportions in the U.S. and internationally [1]. Overdose deaths involving prescription opioids have increased significantly since 1999; indeed from 1999 to 2015, more than 183,000 people have died in the U.S. from overdoses related to prescription opioids [2,3]. It is well known that drug addiction is a disease of the brain [4] and thus, ther...
متن کاملthe clustering and classification data mining techniques in insurance fraud detection:the case of iranian car insurance
با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...
ذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the ... AAAI Conference on Artificial Intelligence
سال: 2023
ISSN: ['2159-5399', '2374-3468']
DOI: https://doi.org/10.1609/aaai.v37i12.26692