This inventor holds 1 USPTO granted patent, plus 3 CIPO patents. Top assignee: Ims Software Services, Ltd.. Active years: 2012.
Company Filing History:
Years Active: 2012
Title: Mark E Kohan: Innovator in Patient Data Encryption
Introduction
Mark E Kohan is a notable inventor based in Downingtown, PA (US). He has made significant contributions to the field of healthcare data management, particularly in the area of patient privacy and data encryption. His innovative approach ensures that sensitive patient information is protected while still allowing for valuable data analysis.
Latest Patents
Mark E Kohan holds a patent for a "Multi-source longitudinal patient-level data encryption process." This patent outlines systems and processes for assembling de-identified patient healthcare data records in a longitudinal database. The systems are designed to operate over multiple data suppliers and common database facilities while ensuring patient privacy. At the data supplier locations, patient-identifying attributes are formatted and doubly encrypted using a pair of encryption keys before being transmitted to a common database facility. This process ensures that the data remains secure and confidential.
Career Highlights
Mark E Kohan is associated with Ims Software Services, Ltd., where he applies his expertise in data encryption and healthcare data management. His work focuses on developing systems that enhance patient privacy while enabling the effective use of healthcare data. His innovative solutions have the potential to transform how patient data is handled across various healthcare providers.
Collaborations
Mark has collaborated with notable colleagues, including Clinton J Wolfe and Heather Zuleba. These partnerships have contributed to the advancement of his projects and the successful implementation of his patented technologies.
Conclusion
Mark E Kohan is a pioneering inventor whose work in patient data encryption is making a significant impact in the healthcare industry. His dedication to ensuring patient privacy while facilitating data analysis is commendable.