Search a question in our diverse Q&A section.
For information about the product, check out our platform page.
46 Questions
Running into trouble? Our developer community is here to help! Ask anything related to our applications.
Salman Rashid 28-Apr-2021Clinical trials have become more relevant and crucial than ever due to COVID-19. While many scientists and organizations have been working tirelessly to create vaccines that will help us get back to somewhat of a normal life, there were many hurdles along the way. One of those hurdles was professional patients.
Professional patients have been around for quite some time, and they can cause severe issues. They corrupt the data, threaten the integrity of clinical trials, and can even be a danger to themselves. The end results can be billions in losses, delayed FDA approvals, and even potentially life-saving drugs can be rejected due to the corrupt data. But what exactly are professional patients?
Well, for clinical trials and studies, CROs, or contract research organizations, need volunteers. While they are handsomely compensated due to participation in the trial, some individuals can derail the whole trial. They can either lie about the results, fake their information to get registered, or even sign up for trials at multiple locations. Whatever the case is, all of it leads to data corruption and reduces the efficacy of the clinical trials. While CROs do have competent methods to conduct background checks, professional patients are getting smarter and are coming up with ways to enroll themselves in the trials.
A touchless biometric patient platform like RightPatient is the perfect tool to tackle the “professional patient” problem that hampers the efficacy of clinical trials or studies. Moreover, it is a tried and tested solution that is being used by responsible healthcare providers to identify patients accurately within their facilities at any touchpoint. It helps protect patient data, prevents medical identity theft in real-time, and enhances patient safety.
RightPatient can be used to prevent professional patients in clinical trials - protecting data integrity and ensuring the efficacy of trials and studies.
