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Thomas Kannampallil

机构:Washington University in St. Louis · ORCID:0000-0003-4119-4836

发表论文 244 篇 · 总被引 4911 次 · h-index 37

代表论文

  • The foundational capabilities of large language models in predicting postoperative risks using clinical notes (2025 · npj Digital Medicine · 被引 39)
  • Effect of machine learning models on clinician prediction of postoperative complications: the Perioperative ORACLE randomised clinical trial (2024 · British Journal of Anaesthesia · 被引 28)
  • Secure Messaging Use and Wrong-Patient Ordering Errors Among Inpatient Clinicians (2024 · JAMA Network Open · 被引 21)
  • Unlocking inpatient workload insights with electronic health record event logs (2024 · Journal of Hospital Medicine · 被引 20)
  • Association of EHR-Integrated Secure Messaging Use with Clinician Workload and Attention Switching (2025 · Journal of General Internal Medicine · 被引 19)
  • Predicting Primary Care Physician Burnout From Electronic Health Record Use Measures (2024 · Mayo Clinic Proceedings · 被引 19)