Background: The integration of Generative AI into veterinary practices offers potential improvements in record-keeping efficiency and job satisfaction.
Hypothesis/
Objectives: This study examines the impact of AI-driven transcription and summarization tools on the record-keeping efficiency of a board-certified small animal internal medicine specialist, hypothesizing a reduction in time spent on records by 5-10 hours per week.
Animals: Not applicable.
Methods: A case study approach was employed, focusing on a single veterinarian's experience before and after implementing AI tools for record-keeping both for client and referring veterinarian consultations and ultrasound examinations. Time spent on documentation was tracked, and qualitative feedback on job satisfaction was gathered.
Results: The internist observed a notable decrease in time spent on record-keeping, calculating a weekly time saving of 5-10 hours. This reduction in administrative tasks corresponded with an enhanced sense of job satisfaction, primarily due to more time being available for direct patient care.
Conclusions and Clinical Importance: The case study underscores the efficacy of Generative AI in optimizing veterinary practice operations. The technology not only alleviates the administrative workload but also contributes to improved job satisfaction and quality of life for practitioners. However, it is crucial to emphasize the need for vigilant human supervision of AI systems to ensure accuracy and reliability. These findings reinforce the significance of integrating advanced technologies in veterinary medicine, not just for operational efficiency but also for enhancing the overall well-being of veterinary professionals.
