A Locally Executable AI System for Improving Preoperative Patient Communication: Multidomain Clinical Evaluation - Report - MDSpire

An AI-Based System for Enhancing Communication with Patients Prior to Surgery: A Comprehensive Clinical Assessment

  • By

  • Motoki Sato

  • Sou Nagata

  • Mizuho Ohnuma

  • Hidekazu Takahashi

  • Tomoaki Kakazu

  • Masayuki Yamamura

  • Atsushi Yoshikawa

  • Yuki Matsushita

  • July 21, 2026

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Clinical Report: An AI-Based System for Enhancing Communication with Patients Prior to Surgery

Background

Effective communication is crucial in preprocedural settings to alleviate patient anxiety and enhance engagement in treatment. Traditional methods may not always suffice due to time constraints faced by healthcare professionals, particularly in rural areas. The integration of digital technologies, including AI, presents a promising solution to improve patient education and streamline communication.

Data Highlights

No numerical data available in the source material.

Key Findings

  • AI-assisted communications have shown potential in alleviating patient anxiety and reducing clinician workload.
  • Challenges remain in ensuring the reliability and safety of information generated by LLMs.

Clinical Implications

Healthcare professionals may consider integrating AI-based communication tools to improve patient interactions and reduce anxiety. These tools can also help manage clinician workload, allowing for more efficient use of time in preprocedural settings.

Conclusion

AI-based systems represent a valuable advancement in preoperative communication, with the potential to enhance patient experience and optimize healthcare delivery.

Related Resources & Content

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