Conversational AI in health: Design considerations from a Wizard-of-Oz dermatology case study with users, clinicians and a medical LLM

Author:

Li Brenna1ORCID,Wang Amy2ORCID,Strachan Patricia3ORCID,Séguin Julie Anne3ORCID,Lachgar Sami3ORCID,Schroeder Karyn C4ORCID,Fleck Mathias S3ORCID,Wong Renee3ORCID,Karthikesalingam Alan3ORCID,Natarajan Vivek3ORCID,Matias Yossi3ORCID,Corrado Greg S3ORCID,Webster Dale3ORCID,Liu Yun3ORCID,Hammel Naama3ORCID,Sayres Rory3ORCID,Semturs Christopher3ORCID,Schaekermann Mike3ORCID

Affiliation:

1. Google, United States and University of Toronto, Canada

2. Google, United States and McMaster University, Canada

3. Google, United States

4. Work done at Google via YoGiYo 2GROW, United States

Funder

Google

Publisher

ACM

Reference26 articles.

1. Interventions to reduce wait times for primary care appointments: a systematic review

2. Implementation of a triage nurse role and the effect on hospitalist workload

3. Adam Baker, Yura Perov, Katherine Middleton, Janie Baxter, Daniel Mullarkey, Davinder Sangar, Mobasher Butt, Arnold DoRosario, and Saurabh Johri. 2020. A comparison of artificial intelligence and human doctors for the purpose of triage and diagnosis. Frontiers in artificial intelligence 3 (2020), 543405.

4. Neeli M Bendapudi, Leonard L Berry, Keith A Frey, Janet Turner Parish, and William L Rayburn. 2006. Patients’ perspectives on ideal physician behaviors. In Mayo Clinic Proceedings, Vol. 81. Elsevier, Mayo Clinic Proceedings, England, UK, 338–344.

5. Virginia Braun and Victoria Clarke. 2012. Thematic analysis. American Psychological Association, Washington DC, USA.

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