Recent studies indicate that 80% of clinicians place their trust in evidence-based AI tools, whereas 54% of consumers express diminished trust when it comes to general-purpose AI applications. This highlights the vital role of evidence in fostering patient confidence.
IPSWICH, Mass., April 7, 2026 /PRNewswire/ — EBSCO Clinical Decisions has released a compelling report titled “The Clinician-Patient Trust Dynamic in the Era of AI-Powered Clinical Decision Support (AI-CDS).” This research, based on surveys of 1,000 U.S. clinicians and 1,000 consumers, uncovers a significant gap between clinician readiness and patient confidence in AI applications used during medical consultations. While AI-powered clinical decision support (AI-CDS) dramatically enhances efficiency—sometimes recovering over 10 minutes per patient visit—this success hinges on transparency and validated clinical evidence. By fostering an evidence-based strategy, clinicians can channel their reclaimed time and mental resources into nurturing the vital human connection with their patients.
“As we rush towards technology, we might overlook the individual—each person’s unique life experiences and values brought into the examination room. Our study highlights that many clinicians feel overwhelmed by hours of manual evidence synthesis each week, which detracts from the time needed to genuinely listen to and engage with patients,” explained Roy Ziegelstein, MD, MACP, Editor-in-Chief and Chief Medical Officer of DynaMed. “Utilizing evidence-based AI-CDS for the data analysis allows us to not only boost efficiency but also reclaim the mental space necessary to be entirely present with our patients. This approach bridges the trust gap by leveraging technology to facilitate human connection, ensuring that every decision is informed by both top-tier evidence and the individual in front of us.”
Trust through Evidence-Based AI
The findings shed light on the noticeable divergence in perceptions between clinicians and patients regarding the role of AI in healthcare. While 89% of clinicians believe that AI-CDS could enhance patient outcomes and care quality, 64% of consumers would rather consult a professional who does not incorporate AI at all.
This skepticism, however, is conditional. Data illustrates a strong preference for evidence-based AI-CDS tools compared to general-purpose AI platforms like ChatGPT or Gemini:
- 80% of clinicians trust clinical guidance provided by evidence-based AI-CDS tools.
- 66% of consumers express that their trust in medical recommendations increases if an evidence-based AI-CDS tool is utilized.
- Conversely, 54% of consumers report that their trust would decrease if a general-purpose AI tool was involved in their care.
Unlike generic AI models that rely on unverified internet information, evidence-based AI is grounded in peer-reviewed research and clinical guidelines. This transparent framework allows clinicians to confirm each recommendation against its original source, ensuring that technology serves as a complement to professional judgment.
Prioritizing Human Connections
Apart from trust, the report highlights the remarkable impact AI-CDS has on clinicians’ workflows and overall well-being. Currently, 68% of clinicians dedicate 3 to 6 hours weekly to manually searching for, reviewing, and synthesizing clinical evidence during patient encounters.
Furthermore, 85% of clinicians believe that AI-CDS expedites the entire clinical process. This technology effectively alleviates the manual burden by:
- Saving Time: 75% of clinicians save four minutes or more per patient visit when utilizing AI-CDS, with nearly 25% saving 10 minutes or more.
- Reducing Cognitive Load: 87% of clinicians agree that AI-CDS liberates their mental energy, enabling them to concentrate on clinical reasoning instead of data retrieval.
- Enhancing Human Connection: 67% of consumers feel that the time saved through AI will lead to more engaged and effective communication from their providers.
To explore the full report, click here.
For further information regarding EBSCO Clinical Decisions, click here.
Research Methodology
The research findings stem from two surveys conducted in December 2025 by Dynata on behalf of EBSCO Clinical Decisions. The first survey involved 1,000 U.S. clinicians (including physicians, nurse practitioners, and specialized healthcare workers) aged 25 to 65. The second focused on 1,000 U.S. consumers aged 18 and older. The research distinguishes between two primary categories of AI referenced throughout the surveys:
- Evidence-Based AI-CDS: Specialized tools for healthcare professionals that leverage AI and machine learning to deliver data-driven insights and recommendations. These tools are trained exclusively on peer-reviewed research and clinical guidelines, providing traceable, verifiable links to original sources of evidence to support informed patient care.
- General-Purpose AI: Open-source, public-facing models (e.g., ChatGPT or Gemini) that rely on broad, unverified internet data and lack specific medical safeguards or direct connections to validated clinical literature necessary for professional medical practice.
About EBSCO Clinical Decisions
EBSCO Information Services (EBSCO) is a premier provider of online research content and state-of-the-art search technologies serving libraries, healthcare institutions, corporations, and governmental bodies globally. As a leader in AI-enabled services, EBSCO offers a wide array of solutions encompassing research, acquisition management, subscription services, clinical decision support, and patient care tailored to meet the information and workflow needs of its users. The EBSCO Clinical Decisions suite is designed to enhance patient care by equipping healthcare providers with the most up-to-date, reliable, evidence-based answers to clinical inquiries at the point of care. Our commitment to AI-driven innovation positions EBSCO at the forefront of the industry, enabling us to adapt to the evolving landscape of information services. For more details, please visit https://more.ebsco.com/Dyna-AI.html.
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