Related Experiment Video
Updated: Dec 24, 2025

Failure of Cleaning Verification in Pharmaceutical Industry Due to Uncleanliness of Stainless Steel Surface
Published on: August 11, 2017
Pitfalls and Safeguards in Industry-Funded Research
Joseph L Breault1,2, Emily Knafl2
1Former Chair, Institutional Review Board, and Senior Physician, Department of Family Medicine, Ochsner Clinic Foundation, New Orleans, LA.
Abstract:
Background: Physicians should follow ethical principles in their relationships with industry and be mindful that such relationships-if they are perceived as conflicts of interest-can undermine trust in the patient-physician relationship. Methods: By identifying potential pitfalls and safeguards that can help prevent problems, this article focuses on ensuring that physician-industry relationships do not result in ethical transgressions or cause damage to doctor-patient relationships. Results: Patient trust in physicians can be undermined by the perception that a physician-investigator is operating in the best interest of the research rather than the best interest of the patient. Payments from the pharmaceutical industry to physician-investigators are transparent because of the Sunshine Act, and patients can easily determine if their personal physicians have received money from industry. Research subsidies from industry should represent fair market value for the work performed. Postmarketing trials with the primary goal of increasing familiarity with a drug and prescribing rates should be avoided. Medical societies play an important role in establishing standards for professional conduct. Conclusion: Ethically sound actions in physician relationships with industry should be guided by professional standards, medical society guidelines, and local institutional policies.
Related Concept Videos
Ethics in Research
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Drug Regulation
Pharmacovigilance
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
Preclinical Development: Overview

