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How AI technologies improve the patient experience

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How AI technologies improve the patient experience

This episode is sponsored by the at Nuance. The exam of the future has arrived with clinical documentation that writes itself. Recently, I participated in a virtual webinar, “How AI…
June 7, 2021

How AI technologies improve the patient experience

This episode is sponsored by the Dragon Ambient eXperience at Nuance. The exam of the future has arrived with clinical documentation that writes itself.

Recently, I participated in a virtual webinar, “How AI technologies improve the patient experience,” along with Dr. Jesse Affonso, orthopedic surgeon at Cape Cod Orthopedics. We discussed the difference between patient experience and patient satisfaction, the correlation between the two, and the role technology plays.

In a nutshell, I think it’s this: A poor patient experience can lead to low patient satisfaction. A good patient experience can lead to high patient satisfaction. According to the Agency of Healthcare Research and Quality, the patient experience encompasses the range of interactions patients have with the health care system and includes several aspects of health care delivery such as timely appointments, easy access to information, and good communication with health care providers. At the same time, patient satisfaction is about whether a patient’s expectations about a health encounter were met.

This all begs the question: How can one improve the patient experience and satisfaction?

Patients want the best care possible. And physicians want to provide the best care possible. The fusion of art and medicine can deliver a better patient experience with AI-powered, voice-enabled documentation that’s revolutionizing health care.

Jared Pelo is an emergency physician and chief medical information officer, Dragon Ambient eXperience at Nuance.

https://www.nuance.com/healthcare/campaign/demo/dax-group-demos.html?cid=7010W000002T9aqQAC&utm_campaign=DHX_AO_202008_DAX_livesteam_demo_digital&utm_medium=Display&utm_source=kevinmd

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