A 12-page Executive Summary offering summary highlights for 22 Accountable Care Organizations and ACO solutions companies regarding their successes during the most recent MSSP performance year.
FDA: 10 Guiding Principles for Developing Good Machine Learning Practice
- Multi-Disciplinary Expertise Is Leveraged Throughout the Total Product Life Cycle.
- Good Software Engineering and Security Practices Are Implemented.
- Clinical Study Participants and Data Sets Are Representative of the Intended Patient Population.
- Training Data Sets Are Independent of Test Sets.
- Selected Reference Datasets Are Based Upon Best Available Methods.
- Model Design Is Tailored to the Available Data and Reflects the Intended Use of the Device.
- Focus Is Placed on the Performance of the Human-AI Team.
- Testing Demonstrates Device Performance during Clinically Relevant Conditions.
- Users Are Provided Clear
- Essential Information.
- Deployed Models Are Monitored for Performance and Re-training Risks are Managed.
Source: U.S. Food and Drug Administration, October 27, 2021 - https://www.fda.gov/medical-devices/software-medical-device-samd/good-machine-l…