Organizations share a commitment to understanding how ambient AI technologies impact clinicians, patients and healthcare delivery
Regenstrief Institute and Suki, a leader in AI-powered ambient clinical documentation technology, are collaborating to explore how independent research and evidence generation can help healthcare organizations better understand the impact of ambient artificial intelligence technologies on clinicians, patients and healthcare systems.
As ambient AI tools become increasingly integrated into healthcare workflows, health systems face important questions about their effects on clinician documentation burden, patient-provider communication, care quality, operational efficiency and trust. Regenstrief and Suki share an interest in advancing evidence-based approaches that help healthcare organizations make informed decisions about the adoption and implementation of these technologies.
Suki develops AI-powered ambient clinical intelligence solutions that assist clinicians with documentation and administrative tasks. Regenstrief Institute is internationally recognized for its expertise in health informatics, electronic health records, implementation science and real-world evidence generation. Together, the organizations are exploring opportunities to contribute to a growing body of knowledge around ambient AI and its role in healthcare.
“Healthcare organizations need rigorous, independent evidence to understand not only whether AI technologies work, but how they affect clinicians, patients and care delivery in real-world settings,” said Rachel Patzer, PhD, MPH, president and CEO of Regenstrief Institute. “As ambient AI continues to evolve, research and evaluation will play a critical role in ensuring these technologies are implemented responsibly and effectively.”
Ambient AI technologies have gained attention for their potential to reduce administrative burden, support clinical documentation and allow clinicians to focus more fully on patient interactions. However, healthcare leaders, policymakers and providers continue to seek evidence regarding implementation, outcomes, user experience and long-term impact. Ambient AI platforms are designed to capture patient-clinician conversations and assist with documentation workflows, potentially reducing time spent on administrative tasks while supporting more focused patient care.
As healthcare organizations continue evaluating emerging AI technologies, both organizations emphasize the importance of transparency, accountability and evidence-based decision-making. Regenstrief’s longstanding expertise in healthcare data, clinical informatics and rigorous evaluations of innovative technologies positions it to help answer critical questions about how AI technologies perform in real-world clinical environments.
