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Artificial Intelligence – qordata is a Data-Driven Compliance Platform Provider

Category: Artificial Intelligence

Explore our library of blogs, insights, research papers, and more information on compliance in the life sciences industry.

Three years after the initiation of the EFPIA code, member companies published their transfers of value for the first time in 2016 in order to disclose their transactions with HCPs and HCOs for 2015. Whilst transparency initiatives in themselves aren’t new (countries like the USA, Netherlands, Portugal, UK and France already had them in place), […]

The civil monetary penalties for violations of countless healthcare laws are on the rise. A few months back, we discussed the sharp increase in penalties under the Federal False Claims ACT (FCA). With the initiation of an interim final rule, the per-claim FCA penalty was nearly doubled by the Department of Justice. The reason behind […]

The EFPIA Transparency Directive deems it necessary for all member associations within the EU to publish spend data by Pharma manufacturers on HCP/HCO. For this purpose, under the data privacy laws of the EU, it is necessary for pharmaceutical manufacturers to receive consent from HCPs prior to reporting any transfer of value details in the […]

The 4th Annual Pharma Compliance Europe Congress is being held at the Royal Garden Hotel, London, UK, on October 5th & 6th, 2016. The conference aims to bring together senior representatives from the legal, compliance, and transparency industries to discuss operational best practices and will feature an impressive list of speakers and attendees from Pfizer, […]

In the past couple of years, law enforcement agencies have recovered billions of dollars through judgments and settlements related to healthcare fraud investigations. In the fiscal year 2015, the DoJ recovered more than $3.5 billion in judgments and settlements from cases that involved fraud and false claims against the government. As time goes by, government […]

Data is the buzzword these days. With the vast amounts of healthcare data held by the Centers for Medicare & Medicaid Services (CMS), the organization has deemed it necessary to move away from the generic data scientist role to a specific big-data-related role to enhance healthcare delivery and detect cases of fraud through efficient statistical […]