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Artificial Intelligence Could Transform Healthcare, But Getting Patients to Accept it May be Tricky

By Shelly Leachman for UCSB
May 24, 2021
| 9:00 a.m.
Much like a family physician who has treated you for years, computer systems could hypothetically know a patient’s complete medical history. A more common experience, of course, is seeing a new doctor or a specialist who knows only your latest lab tests.
But as the use of artificial intelligence (AI) in health applications grows, health providers are looking for ways to improve patients’ experience with machine doctors. And under some circumstances, machines may have advantages as medical providers, according to UC Santa Barbara’s Joseph B. Walther, distinguished professor in communication and the Mark and Susan Bertelsen Presidential Chair in Technology and Society. ....

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Artificial intelligence could transform healthcare, but getting patients accept it may prove tricky

By Shelly Leachman
Santa Barbara, CA
Much like a family physician who has treated you for years, computer systems could – hypothetically – know a patient’s complete medical history. A more common experience, of course, is seeing a new doctor or a specialist who knows only your latest lab tests.
But as the use of artificial intelligence (AI) in health applications grows, health providers are looking for ways to improve patients’ experience with machine doctors. And under some circumstances, machines may have advantages as medical providers, according to UC Santa Barbara’s Joseph B. Walther, distinguished professor in communication and the Mark and Susan Bertelsen Presidential Chair in Technology and Society. ....

Jin Chen , Jamesp Jimirro , Ms Shyam Sundar , Cheng Chen , Matt Swayne , Media Effects Research Laboratory At Penn , Penn State Institute For Computational , Information Technology , Donaldp Bellisario College Of Communications , Data Sciences , Susan Bertelsen Presidential Chair , Penn State , Media Effects , Media Effects Research Laboratory , Human Factors , Computing Systems , ஜின் சென் , கள் ஷியாம் சுந்தர் , செங் சென் , மேட் ஸ்வேனே , மீடியா விளைவுகள் ஆராய்ச்சி ஆய்வகம் இல் பென் , பென் நிலை நிறுவனம் க்கு கணக்கீட்டு , தகவல் தொழில்நுட்பம் , தகவல்கள் அறிவியல் , பென் நிலை , மீடியா விளைவுகள் ,

Patients may not take advice from AI doctors who know their names

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UNIVERSITY PARK, Pa. As the use of artificial intelligence (AI) in health applications grows, health providers are looking for ways to improve patients experience with their machine doctors.
Researchers from Penn State and University of California, Santa Barbara (UCSB) found that people may be less likely to take health advice from an AI doctor when the robot knows their name and medical history. On the other hand, patients want to be on a first-name basis with their human doctors.
When the AI doctor used the first name of the patients and referred to their medical history in the conversation, study participants were more likely to consider an AI health chatbot intrusive and also less likely to heed the AI s medical advice, the researchers added. However, they expected human doctors to differentiate them from other patients and were less likely to comply when a human doctor failed to remember their information. ....

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