How EHR Systems Use Clinical AI to Advance Interoperability with Ben Scharfe Altera Digital Health
Release Date: 04/09/2026
Empowered Patient Podcast
Haresh Patel, Founder of Diagnostic MD AI, discusses the transformative potential of AI in healthcare diagnostics, particularly for patients with chronic or complex issues. Based on his own struggle to get an accurate diagnosis of an autoimmune condition, Haresh has developed a patient-centric platform where individuals can build their complete health story, integrating modern and functional medicine with a more holistic approach, which AI analyzes to help doctors connect disparate symptoms, ask the right questions, identify patterns, and reach the correct diagnosis faster while reducing...
info_outlineEmpowered Patient Podcast
Haresh Patel, Founder of Diagnostic MD AI, discusses the transformative potential of AI in healthcare diagnostics, particularly for patients with chronic or complex issues. Based on his own struggle to get an accurate diagnosis of an autoimmune condition, Haresh has developed a patient-centric platform where individuals can build their complete health story, integrating modern and functional medicine with a more holistic approach, which AI analyzes to help doctors connect disparate symptoms, ask the right questions, identify patterns, and reach the correct diagnosis faster while reducing...
info_outlineEmpowered Patient Podcast
Ben Scharfe, Executive VP of AI at Altera Digital Health, addresses the evolving regulatory landscape for AI in healthcare, emphasizing AI developers' primary responsibility to ensure transparency so clinicians can understand and verify AI-generated outputs. AI is positioned to be a supportive tool for providers, not as an autonomous decision-maker, with emerging regulations beginning to codify the human-in-the-loop requirement. Ben warns of setting higher standards for AI than physicians and automation complacency, in which clinicians might over-rely on AI. Ben explains, "Altera provides...
info_outlineEmpowered Patient Podcast
Ben Scharfe, Executive VP of AI at Altera Digital Health, addresses the evolving regulatory landscape for AI in healthcare, emphasizing AI developers' primary responsibility to ensure transparency so clinicians can understand and verify AI-generated outputs. AI is positioned to be a supportive tool for providers, not as an autonomous decision-maker, with emerging regulations beginning to codify the human-in-the-loop requirement. Ben warns of setting higher standards for AI than physicians and automation complacency, in which clinicians might over-rely on AI. Ben explains, "Altera provides...
info_outlineEmpowered Patient Podcast
Dr. John Birkmeyer, President of the medical group at Sound Physicians, defines value-based care as an evolution from older managed care models, with closer alignment of incentives for quality of care and cost-effectiveness. Working within the hospital environment, this approach emphasizes standardizing patient-centered care and communication across multiple hospital departments, reducing redundant tests and improving patient outcomes. The use of AI is one way to reduce the administrative burden on physicians, freeing up more time for patient care, a departure from earlier technologies that...
info_outlineEmpowered Patient Podcast
Dr. John Birkmeyer, President of the medical group at Sound Physicians, defines value-based care as an evolution from older managed care models, with closer alignment of incentives for quality of care and cost-effectiveness. Working within the hospital environment, this approach emphasizes standardizing patient-centered care and communication across multiple hospital departments, reducing redundant tests and improving patient outcomes. The use of AI is one way to reduce the administrative burden on physicians, freeing up more time for patient care, a departure from earlier technologies that...
info_outlineEmpowered Patient Podcast
Dr. Jim Berenson, Founder of the Institute for Myeloma & Bone Cancer Research and the Berenson Cancer Center, describes the Institute's work, which includes maintaining a large biobank of patient samples that support both its own research and that being conducted by external groups. This biobank is being used to develop new blood markers for faster disease diagnosis, to assess treatment efficacy, and to support drug development for multiple myeloma and other cancers. Real-time monitoring of patient symptoms with a mobile app is capturing critical, often-missed patient data and providing...
info_outlineEmpowered Patient Podcast
Dr. Jim Berenson, Founder of the Institute for Myeloma & Bone Cancer Research and the Berenson Cancer Center, describes the Institute's work, which includes maintaining a large biobank of patient samples that support both its own research and that being conducted by external groups. This biobank is being used to develop new blood markers for faster disease diagnosis, to assess treatment efficacy, and to support drug development for multiple myeloma and other cancers. Real-time monitoring of patient symptoms with a mobile app is capturing critical, often-missed patient data and providing...
info_outlineEmpowered Patient Podcast
Tom Looby, CEO of Conavi, is focused on developing hybrid intravascular imaging technology that combines two established modalities into a single imaging catheter to provide a comprehensive view of the coronary arteries. This eliminates blind spots when using either intravascular ultrasound (IVUS) or optical coherence tomography (OCT) alone and is driving a shift away from relying solely on traditional angiography toward the use of advanced intravascular imaging to guide coronary procedures. Using AI to analyze dual-stream co-registered data allows interventional cardiologists to more...
info_outlineEmpowered Patient Podcast
Tom Looby, CEO of Conavi, is focused on developing hybrid intravascular imaging technology that combines two established modalities into a single imaging catheter to provide a comprehensive view of the coronary arteries. This eliminates blind spots when using either intravascular ultrasound (IVUS) or optical coherence tomography (OCT) alone and is driving a shift away from relying solely on traditional angiography toward the use of advanced intravascular imaging to guide coronary procedures. Using AI to analyze dual-stream co-registered data allows interventional cardiologists to more...
info_outlineBen Scharfe, Executive VP of AI at Altera Digital Health, addresses the evolving regulatory landscape for AI in healthcare, emphasizing AI developers' primary responsibility to ensure transparency so clinicians can understand and verify AI-generated outputs. AI is positioned to be a supportive tool for providers, not as an autonomous decision-maker, with emerging regulations beginning to codify the human-in-the-loop requirement. Ben warns of setting higher standards for AI than physicians and automation complacency, in which clinicians might over-rely on AI.
Ben explains, "Altera provides electronic health records predominantly as well as interoperability solutions for hospitals, health systems, and ambulatory systems. We predominantly serve the US, but we're also present in Canada, in Europe, and in the Asia Pacific region. So we have a global presence, but we do a lot of our work in the US."
"I think the regulatory landscape around the division of responsibilities is really something that is evolving. And so last year, at one point, there was a proposed federal moratorium on state-level legislation, with little, I would say, federal regulation to counterbalance."
"Maybe fortunately, it didn't pass, but since then, there's been a patchwork of state regulation. So I'd say the responsibilities are not entirely defined because they vary by state, and some of those regulations are somewhat contradictory. But recently, the FDA did put out some new guidance and essentially where the responsibility lies for builders. I'd say the primary responsibility is around transparency and enabling clinicians and care providers to understand the reasoning behind any output from an AI system. To be able to review the citations, the evidence used, and the data points the AI may have ingested or consulted in creating some sort of output, so the provider can still have ownership of the care. And essentially, I'd say the core theme there is not having AI that is really acting autonomously on a patient, but rather AI that supports providers who know what they're doing and are licensed."
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