Interdisciplinary Studies of the Impact of Information Diffusion on Prescribing Behaviors: A Complex Adaptive Systems Approach
Physician prescribing behavior needs to adapt over time as new information on best practices are developed. We believe that this behavior change occurs as a result of information sharing, and that a large component of this adaptive development occurs via peer-to-peer influence. In our work, we hope to study, describe, and model physician behavior change as a network phenomenon. We will derive rules for optimal management from the JNC-7 and JNC-8 publications. We will use a database including elements relevant to hypertension management including clinical phenomena related to prescribing decisions as the test-bed. From time elements and elements describing physician relationships to each other, including practice location and shared-patient data, we can identify the peer network and the direction of behavior change.
Project Lead: Leonard Samuels (Medicine) Co-Investigators: Chaomei Chen (College of Computing and Informatics), Ani Hsieh (Engineering), Neal Handly (Medicine), Lucy Robinson (Biostatistics and Epidemiology), Jian-Min Yuan (Physics)
Drexel University grant, $49,820, PI: Leonard Samuels, MD
|Type of Patients Included||N||Data Elements|
|Patients with hypertension treated in family practice environments||180359||