Leveraging Language Models to Support Families in Long-Term Care Settings with Simcha Hyman

As electronic health records become ubiquitous across U.S. medical institutions, the challenge of making this information accessible to patients and families has grown more complex. Simcha Hyman, CEO of TriEdge Investments, sees this challenge not just as a technical limitation but as a critical communication failure impacting care outcomes. His work focuses on leveraging AI—particularly large language models—to create tools that convert clinical information into formats understandable by diverse audiences without diluting medical accuracy.

In many long-term care settings, family members often feel disconnected from their loved one’s treatment due to fragmented information systems and limited transparency. Despite growing interoperability efforts, families still face significant barriers when attempting to access or interpret records across different facilities. According to recent studies, this gap contributes to high levels of anxiety, confusion, and dissatisfaction. Simcha Hyman believes that addressing this issue could improve not only the patient experience but also the operational efficiency of health care providers.

Hyman’s team is currently developing systems that allow family members to receive tailored explanations of their relative’s condition and treatment plans. By using artificial intelligence to translate complex data into various levels of explanation—ranging from technical summaries to layperson-friendly narratives—these tools aim to reduce unnecessary communication breakdowns. As Hyman notes, the value of AI in this context is not in replacing clinicians but in augmenting how information is shared and understood across all parties involved.

One of the standout benefits of this AI-driven approach is its potential to alleviate the administrative load on providers. Clinical staff, especially in elder care facilities, often spend valuable time repeatedly explaining basic information to different family members. By implementing tools that offer real-time, accessible updates and explanations, staff can redirect their focus to direct care responsibilities. Simcha Hyman argues that this represents both a practical and ethical improvement—elevating the quality of communication while preserving staff bandwidth.

The administrative toll on medical professionals remains one of the most persistent sources of burnout, with documentation tasks consuming nearly half the average physician’s workday. Simcha Hyman emphasizes that AI tools must be designed to integrate seamlessly into existing workflows. If they require additional layers of oversight or input, the tools risk compounding the very problem they’re intended to solve. His emphasis on workflow compatibility stems from firsthand experience in senior care operations, informing a design philosophy rooted in usability and impact.

Simcha Hyman’s approach also reflects a broader trend among family offices investing in health care. Unlike traditional venture capital, which often seeks rapid growth, family offices can afford to focus on longer-term strategies that align with the slow adoption cycles typical in medical environments. Hyman’s firm prioritizes partnerships with organizations willing to implement change at a measured pace, ensuring that AI adoption enhances rather than disrupts clinical routines.

Equally important to TriEdge Investments is the educational component surrounding AI implementation. Hyman stresses the need for clinicians and administrative staff to receive adequate training in these tools. Without this foundation, even the most advanced systems will fail to gain traction. By investing in both technology and user readiness, TriEdge aims to foster sustainable transformation rather than fleeting innovation.

Ultimately, Simcha Hyman sees AI as a bridge—not just between data systems, but between people. By giving family members clearer insights into the care process and reducing the informational burdens on providers, his strategy aims to rebuild trust and improve coordination. In a fragmented system, clarity and connection may be the most transformative outcomes AI can offer.