Breaking Barriers

Personalized medicine enhances treatment effectiveness while reducing side effects and costs by eliminating ineffective plans. It provides patients quicker access to effective treatments, reduces the risk of severe side effects, saves insurers money on costly medications, and helps pharmaceutical companies streamline R&D, often using AI technologies.

However, the accessibility to vast amounts of real-world data for clinical trials is key to identifying new biomarkers and companion diagnostics that can provide insights into whether a proposed medication is likely to be effective for a patient, whether the specific patient is likely to tolerate the proposed medication, and how the medication should be best dosed for this patient. Only by finding the right balance between patient privacy and data utility can AI solutions unlock the full potential of predictive analytics and treatment optimization.

Data anonymization and pseudonymization addresses this issue by enabling secondary use of existing data for preclinical trials while preserving privacy. Under certain conditions, it also facilitates the use of real-world data in clinical trials, for example for external or synthetic control arms. Modern anonymization reduces costs, accelerates time to market, and ensures compliance, driving innovation in medicine.

How can data anonymization facilitate effective and efficient use of patient data while minimizing limitations that come along with anonymization?

The data anonymization process eliminates patient identifiers and lifts specific usage restrictions from the data. The latest anonymization technology also ensures that the anonymized data maintains the statistical integrity of the original dataset, thereby protecting privacy without sacrificing data utility.

By adopting anonymization, the pharmaceutical industry can collaborate with hospitals that possess an abundance of untapped data. The anonymized data can not only be used for internal research and drug development but can also be sold to third parties, introducing new revenue opportunities.

Our team of experts is ready to help you unlock the power of healthcare data and integrate our anonymization technology in your application. The anonymization solution is independent of the current messaging or data standards you are utilizing and among others works with DICOM, FHIR and HL7 data.