Register Today: Standardization Empowering AI-enabled Systems in Healthcare Coordination Workshop
9/04/2020
September 14 Event to Explore Opportunities for Progress through Collaboration and Standardization
Artificial intelligence (AI) has the potential to transform healthcare, from diagnosis to treatment, and standardization can play a major role in the process. However, the landscape for standardization and regulation of AI-enabled systems in healthcare is currently very complex and dynamic.
On September 14, the American National Standards Institute (ANSI) will host Standardization Empowering AI-enabled Systems in Healthcare Coordination Workshop to explore opportunities for progress through collaboration and standardization; identify challenges, barriers and gaps; and discuss steps to optimize regulatory frameworks. Featuring a number of dynamic and high-level health care experts from industry and government, the event will focus on the role of autonomous and intelligent systems standards in medical software and consumer systems that interact with the professional health care sector. Register here.
Topics will include:
- Data (and all its demons): The requirements and issues for operational data and training data are very much intertwined with respect to AI because of the machine learning-aspect. Panelists will explore when and where they differentiate, along with issues of measuring data quality, bias in inputs and outputs, data classification, and semantic standardization.
- Transparency and Explainability: What is the "intent" (goals/performance) compared to "output" (accuracy/validation) and the regulatory impact?
- Governance and Risk Management: There is a need for governance of AI in healthcare with regard to privacy, risk assessment and efficacy.Panelists will discuss how to govern the systems for managing processes and give perspectives on a potential risk management framework.
The workshop will set the stage and momentum for an in person workshop in 2021, where recommendations for coordination of standardization and governance to meet expectations of safety, quality, responsibility, and risk can be developed. Jamie Ferguson, VP, health IT strategy and policy, Kaiser Permanente, and Lisa Carnahan, Associate Director for IT standardization, Information Technology Laboratory, NIST, are the workshop co-conveners.
"Ultimately, we expect to arrive at recommendations that will support AI-enabled systems ability to meet expectations of safety, quality, responsibility, and risk," said Mr. Ferguson. "This work is critically important because of the role and promise of AI to improve the quality of care and the patient experience while giving individuals new options for convenience and lower costs."
View the full agenda for the September 14 workshop.
A Few Facts on AI in Healthcare:
- Key clinical health AI applications can potentially create $150 billion in annual savings for the US. healthcare economy by 2026, according to Accenture.
- The World Health Organization estimates that by 2030 the world will be short of 9.9 million doctors, nurses and midwives. AI and automation have the potential to transform how care is delivered - addressing both the need for better and more cost-efficient care and helping fill some of that shortfall in staff.
- As AI finds its way into everything from our smartphones to the supply chain, applications in health care fall into three broad groupings:
-Patient-oriented AI
-Clinician-oriented AI
-Administrative- and operational-oriented AI (Deloitte)
Contact Michelle Deane, ANSI Director, at [email protected] with any questions about the workshop.
See related ANSI news items:
Standards Support Advancements in Artificial Intelligence for Healthcare
