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Notable’s CMO Discusses Fostering Trust in Agentic AI

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The Rise of AI Agents in Healthcare: Transforming the Landscape

The healthcare industry has been undergoing a significant transformation, particularly with the advent of generative artificial intelligence (AI) products. Over the past two years, these technologies have emerged as powerful tools capable of understanding and creating text and images, which has led to a reduction in the administrative burden faced by physicians and medical staff. Tasks such as summarizing patient records, writing prior authorization requests, and communicating with patients have become more manageable, thanks to these advancements.

The Emergence of AI Agents

Recently, the focus has shifted from generative AI to a new concept: AI agents. This term has quickly gained traction among technologists in the healthcare space, representing a new wave of innovation. AI agents leverage large language models to make complex decisions autonomously, allowing them to operate with minimal human oversight. Proponents argue that these agents can significantly alleviate clinician burnout and reduce operational costs by taking over mundane tasks that typically consume valuable time and resources.

Insights from HIMSS Conference

The recent HIMSS health IT conference in Las Vegas showcased the growing interest in AI agents. Startups and established tech companies alike presented their solutions, positioning these tools as an affordable digital workforce. One notable player in this space is Notable, a company that has been automating healthcare tasks for nearly a decade. With its AI technology now live at over 10,000 care sites across the U.S., including major health systems like CommonSpirit Health and Intermountain, Notable is at the forefront of this transformation.

Challenges and Concerns

Despite the promise of AI agents, several challenges remain. Many of the same issues that have plagued other AI tools continue to affect these agents, including a lack of independent data regarding their efficacy and accuracy. Additionally, the question of liability in the event of errors looms large. As research indicates that AI can still make mistakes in healthcare, these hurdles could impede widespread adoption, especially as providers grapple with the heavy documentation burden that weighs on their workforce.

A Conversation with Aaron Neinstein

Healthcare Dive recently spoke with Aaron Neinstein, Notable’s chief medical officer, at the HIMSS conference. He shared insights into the company’s mission and the competitive landscape of AI agents. According to Neinstein, Notable aims to double workforce productivity at a fraction of the cost. He emphasized that the majority of healthcare delivery occurs outside of direct patient interactions, involving numerous administrative tasks that AI agents can handle effectively.

Tailored Solutions for Providers

When it comes to pitching services, Notable adopts a tailored approach, focusing on the specific needs of each provider. Neinstein, who has extensive experience in health IT, understands the challenges faced by IT teams managing multiple vendors. As a result, Notable often starts with one use case and expands to others as relationships develop.

Integration with Electronic Health Records

One of Notable’s key advantages is its ability to integrate seamlessly with providers’ electronic health records (EHR). Having spent years building relationships with EHR vendors, Notable is well-positioned to embed its AI agents into existing workflows. Neinstein points out that while many companies can create impressive demos, the real challenge lies in deploying these solutions effectively within healthcare operations.

Future Aspirations for AI Agents

Looking ahead, Notable is exploring additional AI agent capabilities, particularly in contact centers, where high turnover rates and costs present significant challenges. The company is also working on enhancing prior authorization processes and improving communication for care coordinators. These developments are expected to become more commonplace in the near future.

Navigating Competition in the AI Space

The competitive landscape for AI assistants is rapidly evolving, with both smaller companies and tech giants like Microsoft, Google, and Salesforce vying for market share. Neinstein acknowledges the marketing power of these larger companies but believes that their ability to penetrate the intricate workflows of healthcare is limited. He emphasizes that the real differentiator lies in understanding and addressing the specific needs of healthcare providers.

Regulatory Landscape and Trust

The regulatory environment surrounding AI in healthcare is currently in flux. Following the reversal of a Biden-era directive aimed at establishing regulatory standards, the industry faces uncertainty. Neinstein suggests that this hands-off approach necessitates a focus on building trust with partners. He likens the situation to the FDA’s role in pharmaceuticals, where third-party validation can provide assurance of safety and efficacy.

The Importance of Performance Benchmarks

When discussing AI performance, Neinstein highlights the importance of comparing AI capabilities to current human performance rather than an idealized standard. Many organizations lack a clear understanding of their existing performance metrics, making it crucial to establish realistic benchmarks. By measuring human performance, organizations can set achievable targets for AI deployment.

Building Trust Through Human Oversight

To foster trust in AI tools, Notable employs a "human in the loop" approach during deployment. This strategy involves having a human verify the algorithm’s output, which not only builds confidence but also enhances model performance. Over time, as users become more comfortable with the AI’s capabilities, the need for human oversight diminishes.

The Future of AI in Healthcare

As skepticism and hesitancy surround the rapid implementation of AI in healthcare, Neinstein believes that AI will become increasingly normalized in daily life. With time, stakeholders’ concerns will likely ease, paving the way for broader acceptance and integration of AI technologies in healthcare settings. The journey toward a more efficient and effective healthcare system is underway, with AI agents poised to play a pivotal role in shaping its future.

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