The Digital Medicine Society, also known as DiMe, has introduced a new initiative called Scaling Trusted, High-Impact AI Care Navigation, aimed at accelerating the responsible adoption of AI-driven tools that help patients navigate the healthcare system. This multi-stakeholder project brings together leaders from technology, healthcare delivery, patient advocacy, life sciences, and policy to create practical guidance and evidence for scaling AI-enabled care navigation. While several founding organizations have already joined, DiMe is inviting additional partners to contribute as the initiative moves into active implementation. The project is designed to reflect the real-world needs of patients and health systems at a time when standards, evidence, and expectations for AI in care navigation are still developing.
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Patients face persistent challenges in managing healthcare. They often struggle with scheduling appointments, securing referrals, coordinating among multiple providers, and handling insurance requirements. These obstacles can delay care, worsen outcomes, and exacerbate inequities. Many patients have begun turning to AI solutions for help, but the tools currently available are inconsistent, limited, or poorly integrated. Health systems and payers face mounting pressure to provide more services with fewer resources, leaving patients to cope with the consequences when coordination fails.
Jennifer Goldsack, Chief Executive Officer of DiMe, emphasized that patients experience healthcare as delays, confusion, and stress rather than as policy frameworks or algorithms. She explained that this initiative exists because patients are already using AI to navigate care, and it is essential to ensure that these tools are trustworthy, patient-centered, and grounded in evidence. The project also aims to give organizations confidence to scale solutions that demonstrate real impact.
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The widespread patient use of AI for care navigation highlights both the urgency of the problem and the risks of innovation that outpaces oversight and accountability. This initiative is a key part of DiMe’s Healthcare 2030 vision for creating a sustainable digital health system and builds on The Playbook: Implementing AI in Healthcare, developed in collaboration with Google for Health and over 30 partners. The Playbook identifies high-value AI use cases and guides organizations from pilot projects to large-scale implementation. Building on these findings, the new initiative focuses on one of the areas with the most immediate and meaningful impact on patients: care navigation. It is the first in DiMe’s 2026 series of AI projects, followed later this year by a separate effort to operationalize AI governance in healthcare.
Government agencies including the Centers for Medicare & Medicaid Services and the Office of the National Coordinator for Health Information Technology have highlighted the need for interoperable, patient-centered digital tools along with clearer guidance on governance, accountability, and performance monitoring as AI becomes more common in care delivery. This initiative aims to provide open, evidence-based resources that healthcare organizations can use today to implement AI-enabled navigation safely and effectively.
The founding members represent a wide spectrum of organizations across technology, healthcare delivery, payers, and patient advocacy, ensuring that the perspectives of patients, clinicians, and system leaders are reflected. Intel is serving as the Title Sponsor for the initiative alongside partners such as the American Osteopathic Association, Association of Cancer Care Centers, Boston Children’s Hospital, Carey, Carna Health, Google for Health, Mass General Brigham, National Health Council, Stanford Medicine Department of Pediatrics, Swept AI, Talamel Health Technologies, UC Irvine Institute for Future Health, and Visana Health.
Alex Flores, General Manager of Intel’s Healthcare and Life Sciences Vertical, said that technology is advancing rapidly, but without alignment on trust, utility, and measurable outcomes, innovations often fail to scale. He emphasized that the initiative brings the healthcare ecosystem together to develop shared evidence, frameworks, and understanding to make AI-enabled navigation practical, trustworthy, and beneficial for both patients and the system as a whole.
As AI continues to influence how people access and move through care, the question is no longer whether AI-enabled navigation will expand but whether it will do so in ways that earn trust and deliver meaningful results. Organizations that participate in this initiative will help define the standards and evidence that shape the future of AI-driven care navigation for years to come.
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