Artificial Intelligence Benchmark Report

We are in the early days of utilization of artificial intelligence and machine learning in healthcare across both business and clinical functions. Benchmarking offers a way to assess the overall maturity rate for adoption of these tools as well as relative performance across different domains. The development of a benchmarking framework can also provide a broad guide to the fundamental processes of adopting new technologies. Chilmark Research will be conducting a benchmarking study to evaluate the overall progress of adoption and some performance metrics that we view as central to the overall AI/ML process. In the report we will assess the following broad areas:

  • Data preparation and governance for AI/ML adoption
  • Human resources capacity in-house/external partners
  • Proper identification of relevant use cases and processes involved
  • Engagement of stakeholders in development and implementation
  • Training and validation of algorithms and assessment of patient safety and privacy issues
  • Explainability and risk management
  • Cybersecurity
  • Impact or ecosystem validation of application on workflows
  • Post-market analysis and performance measures

The report will involve key informant interviews with industry leaders currently involved in developing and implementing AI/ML applications. We will also develop a healthcare specific maturity model based on insights from the research.

Sign up to receive updates when the report is available (and the Early Bird Discount!) and registration for the accompanying webinar is open.


While you wait for this report, check out our other research on artificial intelligence in healthcare: