Suki and MedStar Health Collaborate on Ambient Clinical Intelligence Research
Washington, D.C. & Redwood City, CA — Suki, a leader in Ambient Clinical Intelligence (ACI), has announced a strategic research collaboration with MedStar Health’s National Center for Human Factors in Healthcare. The aim is to examine the effects of ambient AI on healthcare delivery.
Focus on Human Factors in Technology
Despite rapid technological adoption in healthcare, few institutions leverage the science of human factors to assess the success of tech implementations in clinical settings. Through this partnership, Suki and the National Center for Human Factors will apply implementation science to the deployment of Suki’s platform across MedStar Health sites, closing gaps in knowledge.
Key Research Areas
The collaboration will focus on three primary research pillars:
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Designing for Adoption: Experts will create interventions aimed at increasing the adoption of ambient AI tools among various clinicians and health systems.
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The Human Experience: Research will explore the effects of ambient AI on clinical workflows, administrative tasks, clinical reasoning, and overall patient-provider interactions.
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Patient Safety & Care Quality: Evaluation will focus on how ambient AI integrates into clinical workflows and its impact on safety and care quality.
Importance of Rigorous Research
As healthcare systems transition from pilot programs to broader implementation, the demand for reliable, real-world evidence of AI’s effectiveness grows. This partnership seeks to conduct comprehensive research that guides safe and effective ambient AI deployment.
Sudha Jayaraman, MD, who leads the research at Suki, stated, “We’re bringing together diverse professionals to ensure responsible development and evaluation of ambient AI.”
Joshua Biro, PhD, principal investigator for MedStar Health’s involvement, emphasized the importance of integrating human factors research with innovation to support clinicians and enhance patient care.
Raj Ratwani, PhD, director of the National Center for Human Factors, added that ambient AI must focus on patient engagement and clinician support while reducing administrative burdens.
Vision for Improvement
The partnership seeks to elevate standards for the evaluation and integration of ambient AI in healthcare. By merging Suki’s expertise with MedStar Health’s commitment to safety and human factors, the goal is to advance the field.
Research Methodology
The project will employ mixed-methods research, utilizing both quantitative and qualitative data to assess the adoption and performance of ambient AI in real-world scenarios. Results will be published and shared with the healthcare community to further inform future advancements.
For further information, visit Suki’s official site.
