Research map: Improving sepsis best practice utility and clinical acceptance using an LLM-enhanced prediction system

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Papers in this map

  1. Improving the Quality of Web Surveys: The Checklist for Reporting Results of Internet E-Surveys (CHERRIES) · Günther Eysenbach · 2004 · 6701 citations · Cited by this paper
  2. A scoping review of studies on secure messaging through patient portals: persistent challenges and potential solutions · 2026 · Related
  3. TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods · Professor Gary S. Collins · 2024 · 3668 citations · Cited by this paper
  4. Designing clinical AI for patient-centered support beyond the visit: the PACT framework for health systems · 2026 · Related
  5. Epidemiology and Costs of Sepsis in the United States—An Analysis Based on Timing of Diagnosis and Severity Level* · Carly J. Paoli · 2018 · 753 citations · Cited by this paper
  6. Bridging the computational-experimental gap: leveraging large language model to prioritize Alzheimer’s therapeutics based on comparison of learning models · 2026 · Related
  7. A Roadmap for National Action on Clinical Decision Support · Jerome A. Osheroff · 2007 · 722 citations · Cited by this paper
  8. Enhancing the resilience of remote patient monitoring and hospital-at-home systems: a digital-twin-based framework · 2026 · Related
  9. Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system · with the HITEC Investigators · 2017 · 708 citations · Cited by this paper
  10. Evaluation of electronic health record-integrated artificial intelligence chart review · 2026 · Related
  11. Information Overload and Missed Test Results in Electronic Health Record–Based Settings · Hardeep Singh · 2013 · 220 citations · Cited by this paper
  12. Receptiveness of physicians towards artificial intelligence-driven drug prescription: a nationwide survey · 2026 · Related
  13. Global, regional, and national sepsis incidence and mortality, 1990–2021: a systematic analysis · Authia P Gray · 2025 · 199 citations · Cited by this paper
  14. National scale up of PROM based monitoring after joint replacement in Germany · 2026 · Related
  15. Sepsis: Early Recognition and Optimized Treatment · Hwan Il Kim · 2018 · 179 citations · Cited by this paper
  16. Responsible AI for safer opioid risk management in older adults · 2026 · Related
  17. Clinician Perception of a Machine Learning–Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock* · Jennifer C. Ginestra · 2019 · 169 citations · Cited by this paper
  18. Design for a digital twin in clinical patient care · 2026 · Related
  19. Impact of a deep learning sepsis prediction model on quality of care and survival · Aaron E. Boussina · 2024 · 164 citations · Cited by this paper
  20. Randomized trial of automated, electronic monitoring to facilitate early detection of sepsis in the intensive care unit* · Michael H. Hooper · 2012 · 123 citations · Cited by this paper
  21. Raising concerns about the Sepsis-3 definitions · Massimo Sartelli · 2018 · 121 citations · Cited by this paper
  22. Harnessing artificial intelligence in sepsis care: advances in early detection, personalized treatment, and real-time monitoring · Fang Li · 2025 · 78 citations · Cited by this paper
  23. Alarm fatigue in healthcare: a scoping review of definitions, influencing factors, and mitigation strategies · Elizabeth Anna Mathilde Michels · 2025 · 64 citations · Cited by this paper
  24. Integrating artificial intelligence into healthcare systems: more than just the algorithm · Jethro C.C. Kwong · 2024 · 52 citations · Cited by this paper
  25. Development and prospective implementation of a large language model based system for early sepsis prediction · Supreeth Prajwal Shashikumar · 2025 · 34 citations · Cited by this paper
  26. Economics and Equity of Large Language Models: Health Care Perspective · Radha Nagarajan · 2024 · 33 citations · Cited by this paper
  27. Evaluating the Impact of Interruptive Alerts within a Health System: Use, Response Time, and Cumulative Time Burden · Pierre Adil Elias · 2019 · 31 citations · Cited by this paper
  28. Generative AI costs in large healthcare systems, an example in revenue cycle · Michael L Burns · 2025 · 17 citations · Cited by this paper
  29. Rethinking sepsis prediction in the era of large language models · Andrew Wong · 2026 · 2 citations · Cited by this paper

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