Abstract

This case describes an initiative to procure a “smart” privacy solution with machine learning capabilities that could eliminate false-positive alerts of privacy risks for an Ontario hospital. A competitive dialogue procurement strategy proceeded over a two-year period and involved two stages of competitive dialogue and a pilot phase to test the procured privacy solution. Discussions and sharing feedback on solutions with vendors, followed by dialogue on solution pricing and service offerings, resulted in a vendor contract that allowed other hospitals to benefit from the established agreement. This approach supported scalability of the procured privacy solution.