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Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

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Case Study: Innovation Procurement for a "Smart" Privacy Solution.

Anne W Snowdon¹, Melissa St Pierre², Renata Axler³

¹Anne W. Snowdon, is a professor of strategy and entrepreneurship at the Odette School of Business, chair of the World Health Innovation Network and scientific director and CEO of SCAN Health (NCE), University of Windsor.

Healthcare Quarterly (Toronto, Ont.)

|December 18, 2019

Summary

This summary is machine-generated.

This case study details a successful procurement of a smart privacy solution using machine learning to reduce false privacy alerts in an Ontario hospital. The competitive dialogue process ensured scalability and benefits for other healthcare facilities.

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Area of Science:

Health Informatics
Artificial Intelligence in Healthcare
Procurement Strategies

Background:

Hospitals face challenges with privacy risk alerts, often experiencing false positives.
The need for advanced, automated solutions to manage privacy risks is increasing.

Purpose of the Study:

To describe the procurement process for a machine learning-based privacy solution.
To evaluate the effectiveness of a competitive dialogue strategy in acquiring advanced technology.

Main Methods:

A two-year competitive dialogue procurement strategy was employed.
The process included two stages of dialogue and a pilot phase for solution testing.
Vendor feedback and pricing discussions were integral to the process.

Main Results:

A "smart" privacy solution with machine learning capabilities was successfully procured.
The solution aimed to eliminate false-positive privacy risk alerts.
The procurement resulted in a vendor contract beneficial for other hospitals.

Conclusions:

The competitive dialogue approach facilitated the acquisition of advanced privacy technology.
The procurement strategy supported the scalability of the privacy solution for wider adoption.
This initiative demonstrates a viable method for hospitals to procure innovative privacy solutions.