A Multiparty Collaboration to Engage Diverse Populations in Community-Centered Artificial Intelligence Research.

Artificial intelligence (AI)-enabled technology has the potential to expand access to high-quality health information and health care services. Learning how diverse users interact with technology enables improvements to the AI model and the user interface, maximizing its potential benefit for a greater number of people. This narrative describes how technology developers, academic researchers, and representatives from a community-based organization collaborated to conduct a community-centered project on emerging health technologies.

Physician Perspectives on Ambient AI Scribes.

Importance: Limited qualitative studies exist evaluating ambient artificial intelligence (AI) scribe tools. Such studies can provide deeper insights into ambient AI implementations by capturing lived experiences.

Objective: To evaluate physician perspectives on ambient AI scribes.

Ambient artificial intelligence scribes: utilization and impact on documentation time.

Objectives: To quantify utilization and impact on documentation time of a large language model-powered ambient artificial intelligence (AI) scribe.

Materials And Methods: This prospective quality improvement study was conducted at a large academic medical center with 45 physicians from 8 ambulatory disciplines over 3 months. Utilization and documentation times were derived from electronic health record (EHR) use measures.

Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden.

Objective: This study evaluates the pilot implementation of ambient AI scribe technology to assess physician perspectives on usability and the impact on physician burden and burnout.

Materials And Methods: This prospective quality improvement study was conducted at Stanford Health Care with 48 physicians over a 3-month period. Outcome measures included burden, burnout, usability, and perceived time savings.

Effect of an Electronic Health Record-Based Intervention on Documentation Practices.

Background:  Documentation burden is one of the largest contributors to physician burnout. Evaluation and Management (E&M) coding changes were implemented in 2021 to alleviate documentation burden.

Objectives:  We used this opportunity to develop documentation best practices, implement new electronic health record (EHR) tools, and study the potential impact on provider experiences with documentation related to these 2021 E&M changes, documentation length, and time spent documenting at an academic medical center.

Artificial Intelligence-Generated Draft Replies to Patient Inbox Messages.

Importance: The emergence and promise of generative artificial intelligence (AI) represent a turning point for health care. Rigorous evaluation of generative AI deployment in clinical practice is needed to inform strategic decision-making.

Objective: To evaluate the implementation of a large language model used to draft responses to patient messages in the electronic inbox.

Building Pandemic-Resilient Primary Care Systems: Lessons Learned From COVID-19.

On January 30, 2023, the Biden Administration announced its intention to end the existing COVID-19 public health emergency declaration. The transition to a "postpandemic" landscape presents a unique opportunity to sustain and strengthen pandemic-era changes in care delivery. With this in mind, we present 3 critical lessons learned from a primary care perspective during the COVID-19 pandemic.

Voice Assistants' Responses to Questions About the COVID-19 Vaccine: National Cross-sectional Study.

Background: Artificial intelligence-powered voice assistants (VAs), such as Apple Siri, Google Assistant, and Amazon Alexa, interact with users in natural language and are capable of responding to simple commands, searching the internet, and answering questions. Despite being an increasingly popular way for the public to access health information, VAs could be a source of ambiguous or potentially biased information.

Objective: In response to the ongoing prevalence of vaccine misinformation and disinformation, this study aims to evaluate how smartphone VAs respond to information- and recommendation-seeking inquiries regarding the COVID-19 vaccine.