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AI advice vs. patients’ advice vs. no advice: choosing a doctor
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Due to the development of information technologies and Artificial Intelligence (henceforth AI) solutions, hospitals can match patients’ to doctors more efficiently and effectively. In this research, I investigate trust in advice generated by AI over advice from other people, when a patient selects a doctor for a medical appointment. Data related to trust, likelihood to follow the received recommendation, likelihood to select a doctor, and demographics were collected via an online questionnaire to investigate whether people accept or refuse advice to choose a doctor based on AI advice (vs. other patients’ advice or no advice). The experiment revealed that patients are more likely to select a doctor following advice from AI, as compared to when they receive advice from other people or no advice at all. Moreover, patients trusted more AI advice than advice from other people. These results have important practical implication: they suggest that hospitals should inform patients about benefits and dispel doubts of using AI in matching-system through educational programs and leaflets. Finally, they also suggest developing AI recommender-systems that can share AI consultations with a selected physician.
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AI advice doctor patient trust algorithms likelihood