Clinical Case: Patient and Doctor Perspective using Generative Artificial Intelligence

Abstract: Introduction: With the arrival of Generative Artificial Intelligence in university classrooms, a future with continuous challenges is perceived. Objective: To analyse the results obtained by students of the Clinical Surgical I course when solving a clinical case using different tools of Generative Artificial Intelligence from the point of view of the doctor and the patient. Materials and methods: Descriptive research, with a sample of 50 Surgical Clinic I students from a private university in Mar del Plata. Results: The experience was developed in three stages. In the first stage, a clinical case of a patient with abdominal pain of 24 hours of evolution is presented. The students, in groups, select Generative Artificial Intelligence answer search engines to solve the case, formulate prompts requesting diagnostic impression, treatment of the presumptive diagnosis and consultation on symptoms. In the second stage, they select the main concepts and with the information obtained, they elaborate two conceptual networks from both points of view per group. A multimedia presentation is shared with the results and this generates an exchange of opinions. In the third stage, an online form is sent to consult situations in which the use of IAG would be significant for a doctor, they indicate differential diagnoses 100%, Treatment 80%, Recommendations 60% Anamnesis 40%, as to what Artificial Intelligence recognises about the patient's viewpoint 20% confusion, 50% motivate the patient to attend a consultation, 60% eliminate diagnostic doubts, 80% obtain more information. Conclusions: Medical education has been presented with the challenge of thinking about how to take advantage of the potential of Generative Artificial Intelligence so that professionals in training have the tools to perform in future scenarios, being reflective in their use in the face of ethical dilemmas that may arise.