Artificial intelligence is quickly becoming part of the clinical toolkit, but the conversation often centers on hype rather than how healthcare professionals themselves are actually using it. To ground the discussion, we fielded an AI in Healthcare Pulse Survey—asking front-line clinicians and leaders how familiar they are with AI, which tools they’re already using, where they see the most value, and what would build their trust going forward.
We heard from 109 healthcare professionals across 35 U.S. states, the vast majority (95%) working in direct patient care. Titles ranged from physician assistants and attending physicians to highly specialized experts such as pediatric surgeons, vascular surgeons, orthopaedic surgeons, fellowship-trained Mohs surgeons, and hematology/oncology physicians. This mix gives us a clear view into how AI is landing in real clinical environments today.
Documentation assistants / automated note‑taking
Clinical decision support (diagnostics; treatment recommendations)
Predictive analytics (e.g.; risk stratification; readmission)
Imaging interpretation (radiology; pathology)
Patient chatbots / triage tools
Reducing administrative burden
Improving diagnostic accuracy
Enhancing patient communication and engagement
Predicting health risks and outcomes
Drafting and organizing patient notes
Managing patient communications and scheduling
Assisting in diagnostic decisions
Identifying high-risk patients early
Summarizing the latest medical research
Proven accuracy in studies
Integration into existing workflows
Transparency in how AI makes decisions
Regulatory approval / FDA clearance
Peer adoption and recommendations
What excites clinicians
“Reduction of busywork and improvement in diagnostic accuracy in radiology and other medical technology.”
Attending Physician • Illinois
“I am excited about potentially less provider documentation required to do my job.”
Physician Assistant • Washington
“Creating a workflow that allows providers to spend more time with patients while also creating improved accuracy.”
Oncology Physician Assistant • Pennsylvania
“The ability to improve patient outcomes and reduce administrative burden.”
Resident Physician • New York
What worries clinicians
“Concern that it will miss something critical or life‑threatening.”
Physician Assistant • Florida
“Errors worry me—or 'missing' something because I relied on AI.”
Physician Assistant • New Jersey
“Wrong diagnosis; duplication of record; errors; miscommunication.”
Attending Physician • New York
