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Peer-reviewedCC BY-NC-NDMayo Clinic proceedings. Digital health

Deployment of a Multilingual, Embodied, Holographic Artificial Intelligence Concierge in Ambulatory Care: Early Implementation Lessons From the Artificial Intelligence Responsive Interactive Agent.

7 more authors
12 affiliations
  1. 1Division of General Internal Medicine, Department of Medicine, Mayo Clinic, Scottsdale, AZ.
  2. 2Patient Experience, Mayo Clinic, Phoenix, AZ.
  3. 3Enterprise Automation, Mayo Clinic, Rochester, MN.
  4. 4Critical Care Medicine, Mayo Clinic, Phoenix, AZ.
  5. 5Practice Administrative Shared Services, Mayo Clinic, Phoenix, AZ.
  6. 6Arizona Enablement Hub, Mayo Clinic, Phoenix, AZ.
  7. 7Hospital Internal Medicine, Mayo Clinic, Phoenix, AZ.
  8. 8Division of Hematology and Medical Oncology, Mayo Clinic, Phoenix, AZ.
  9. 9Radiation Oncology, Mayo Clinic, Phoenix, AZ.
  10. 10Office of Access Management, Mayo Clinic, Phoenix, AZ.
  11. 11Robotics and Automation, Mayo Clinic, Rochester, MN.
  12. 12Division of General Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, MN.

Abstract

Health care environments can be difficult to navigate, particularly for individuals with limited language proficiency, hearing impairment, low digital literacy, or unfamiliarity with the facility. Conversational artificial intelligence (AI) systems may support accessibility and navigation, although descriptions of real-world implementation in health care settings remain limited. As a descriptive, single-site quality-improvement pilot, this report characterizes the experience of implementing a conversational AI agent in the lobby of a large, outpatient, academic practice. The Artificial Intelligence Responsive Interactive Agent (ARIA) is a multilingual, 3-dimensional, holographic conversational AI concierge developed to provide real-time assistance with navigation, digital onboarding, and information regarding amenities and services. ARIA leverages natural language processing and large language model technology to provide voice-enabled interactions in English, Spanish, Mandarin, and Arabic, with real-time closed captioning. The system can also generate quick response codes that push information directly to users' smartphone devices. Piloted in a large ambulatory lobby from October 21, 2025, to February 2, 2026, ARIA recorded 1429 device-activation sessions. Of these, 689 sessions (48%) contained analyzable user interaction data. Wayfinding and general information requests were the most common use cases. Deployment surfaced operational challenges, including audio capture, network reliability, interaction timing, workflow integration, quick response transfer, and content governance. As the use of AI in clinical settings expands, there may be a role for an embodied agent serving as a digital concierge if these barriers can be addressed. Future evaluations should prospectively define implementation outcomes, use systematic utilization denominators, and assess user experience and operational impact with validated measures.

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BibTeX
@article{meltzer2026deployment,
  title = {{Deployment of a Multilingual, Embodied, Holographic Artificial Intelligence Concierge in Ambulatory Care: Early Implementation Lessons From the Artificial Intelligence Responsive Interactive Agent.}},
  author = {Ellen C Meltzer and Jared T Staal and Alyssa B Chapital and Pete J Pallagi and Katelyn M Cheetham and Haley Wang and Qiuyu Jin and Rafael Fonseca and Aman Anand and Mark R Stemler and Chris S Jaeckel and Danielle M Stricker and Jacob M Dison and Cherish D Caputo and Tharana Maran and Beverly Hansen and Praneetha R Elugunti and Biju T Samkutty and Anjali Bhagra},
  journal = {Mayo Clinic proceedings. Digital health},
  year = {2026},
  month = oct,
  doi = {10.1016/j.mcpdig.2026.100427},
  url = {https://europepmc.org/article/MED/42999882},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Deployment of a Multilingual, Embodied, Holographic Artificial Intelligence Concierge in Ambulatory Care: Early Implementation Lessons From the Artificial Intelligence Responsive Interactive Agent.
AU  - Ellen C Meltzer
AU  - Jared T Staal
AU  - Alyssa B Chapital
AU  - Pete J Pallagi
AU  - Katelyn M Cheetham
AU  - Haley Wang
AU  - Qiuyu Jin
AU  - Rafael Fonseca
AU  - Aman Anand
AU  - Mark R Stemler
AU  - Chris S Jaeckel
AU  - Danielle M Stricker
AU  - Jacob M Dison
AU  - Cherish D Caputo
AU  - Tharana Maran
AU  - Beverly Hansen
AU  - Praneetha R Elugunti
AU  - Biju T Samkutty
AU  - Anjali Bhagra
PY  - 2026
DA  - 2026/10/09
JO  - Mayo Clinic proceedings. Digital health
DO  - 10.1016/j.mcpdig.2026.100427
UR  - https://europepmc.org/article/MED/42999882
AB  - Health care environments can be difficult to navigate, particularly for individuals with limited language proficiency, hearing impairment, low digital literacy, or unfamiliarity with the facility. Conversational artificial intelligence (AI) systems may support accessibility and navigation, although descriptions of real-world implementation in health care settings remain limited. As a descriptive, single-site quality-improvement pilot, this report characterizes the experience of implementing a conversational AI agent in the lobby of a large, outpatient, academic practice. The Artificial Intelligence Responsive Interactive Agent (ARIA) is a multilingual, 3-dimensional, holographic conversational AI concierge developed to provide real-time assistance with navigation, digital onboarding, and information regarding amenities and services. ARIA leverages natural language processing and large language model technology to provide voice-enabled interactions in English, Spanish, Mandarin, and Arabic, with real-time closed captioning. The system can also generate quick response codes that push information directly to users' smartphone devices. Piloted in a large ambulatory lobby from October 21, 2025, to February 2, 2026, ARIA recorded 1429 device-activation sessions. Of these, 689 sessions (48%) contained analyzable user interaction data. Wayfinding and general information requests were the most common use cases. Deployment surfaced operational challenges, including audio capture, network reliability, interaction timing, workflow integration, quick response transfer, and content governance. As the use of AI in clinical settings expands, there may be a role for an embodied agent serving as a digital concierge if these barriers can be addressed. Future evaluations should prospectively define implementation outcomes, use systematic utilization denominators, and assess user experience and operational impact with validated measures.
SN  - 2949-7612
ER  -