Lab News

November 2022

Read the Healthcare IT news article that featured the Boussard Lab team that studied the link between first opioid prescription and dependency. The study applied machine learning algorithms to a unique database of millions of de-identified claims.

November 2022

  • Join Dr. Hernandez-Boussard in the Prescription Drug Monitoring Porgram Training and Technical Assistance Center webinar on November 3, 2022. The webinar will cover the methods and results for the reearch study on predicting the progression from acute to chronic opioid use.

September 2022

  • Read about a recent webinar we participated in with FORTUNE Media regarding the evolution of A.I. in Health: Where Humans Meet Machines. The event convened experts from government, technology, and academia to discuss how A.I. can benefit our health care system and guide clinicians in their decision making. 

September 2022

The Boussad lab has established a network study (PORPOISE) on the OHDSI community to identify patients at risk of postoperative prolonged opioid use. PORPOISE aims to develop and validate machine learning models in a diverse, multisite cohort by evaluating their generalizability, discrimination, and calibration. The research protocol and materials can be found in the GitHub repository for the OHDSI Study. 

Recent Publications

Changes in Medicaid enrollment during the COVID-19 pandemic across 6 states

The coronavirus disease 2019 public health emergency (PHE) caused extensive job loss and loss of employer-sponsored insurance. State Medicaid programs experienced a related increase in enrollment during the PHE. However, the composition of enrollment and enrollee changes during the pandemic is unknown. This study examined changes in Medicaid enrollment and population characteristics during the PHE. 

Changes in postoperative opioid prescribing across three diverse healthcare systems

The opioid crisis brought scrutiny to opioid prescribing. Understanding how opioid prescribing patterns and corresponding patient outcomes changed during the epidemic is essential for future targeted policies. Many studies attempt to model trends in opioid prescriptions therefore understanding the temporal shift in opioid prescribing patterns across populations is necessary. This study characterized postoperative opioid prescribing patterns across different populations, 2010–2020.