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AI Patient-Clinician Communications Coaching Platform
LarryAI turns everyday clinical encounters into scalable, evidenced-based coaching that strengthens clinicians' communication skills, time-management while improving patient outcomes.
Backed by the UW CoMotion Innovation Gap Fund
The team behind LarryAI are 2025 graduates of the University of Washington CoMotion Innovation Gap Fund program, which selects promising university researchers developing solutions to pressing needs in software/IT, life sciences, engineering, and social impact. With support from CoMotion staff and mentors, and funds from CoMotion, Washington Research Foundation, Population Health Initiative, and other generous donors, the LarryAI team is well-equipped to commercialize this innovation in the coming months.
Give Your Organization a Patient Experience Edge
With LarryAI, your clinicians and residents will receive private feedback after real patient encounters, helping them build stronger communications skills without added stress or judgment.
Your training and medical education staff will coach more effectively in less time. Your entire organization will have a scalable, evidence-based system to improve patient satisfaction, outcomes, reduce malpractice risk, and maximize return on educator time.
Who Will Benefit From LarryAI?
Physicians and Medical Residents
Problem:
Practicing clinicians and residents often have room to improve their communications skills, yet they have limited opportunities to receive structured feedback on their communications with patients. When feedback does occur, it can be perceived as stressful or punitive. Many learners worry it might be used for evaluation or discipline rather than genuine improvement.
Solution:
LarryAI provides more frequent, private, formative-only feedback on real clinical encounters. This approach makes feedback less intimidating while supporting self-directed learning and continuous reinforcement, so clinicians and residents can steadily build stronger communication skills.
A sample Clinical Communication Development Report generated by our AI model, based on transcripts analysis
Medical Educators
Problem:
Medical educators frequently struggle to provide high-quality communication feedback due to limited time and competing demands. Even when feedback is given, it can be inconsistent across faculty, and many educators lack formal training in communication coaching, which makes it difficult to deliver structured, actionable guidance.
Solution:
LarryAI helps educators by turning routine clinical encounters into structured insights, showing aggregate and trend-level patterns rather than relying on one-off observations. Its feedback is built on the validated PCOF framework, which provides evidence-based scaffolding, so educators can focus their limited time on higher-value coaching while ensuring learners receive consistent, reliable guidance.
Health System Leaders
Problem:
Chief Medical Officers face increasing pressure to improve patient satisfaction scores, which directly affect reimbursement and reputation. Poor physician-clinician communication not only drives down these scores but also contributes to malpractice risk and wastes expensive faculty time on inefficient training.
Solution:
LarryAI strengthens clinician-patient communication by delivering scalable, evidence-based feedback that improves patient experience while reducing malpractice risk. By automating the most time-consuming aspects of training, administrators can utilize organizational resources more effectively and ensure consistent skill development across the organization.
LarryAI's Origins
LarryAI is built on the Patient-Centered Observation Form (PCOF), a validated framework developed at the University of Washington School of Medicine to assess and strengthen clinician-patient communication and promote effective time management. It breaks down observable behaviors – such as rapport-building, agenda-setting, information sharing, and collaborative care planning- into structured, evidence-based elements that educators can reliably track and use for feedback.
By grounding LarryAI in PCOF, we ensure that the coaching clinicians receive is tied to a proven, research-backed standard rather than ad-hoc impressions. Notably, PCOF creator Larry Mauksch is directly involved in the development of LarryAI, bringing four decades of expertise in communication training in clinical settings to the design and functionality of the application. Dr. Misbah Keen and Dr. Ian Bennett, colleagues of Larry's from UW School of Medicine, are also actively involved in shaping LarryAI's educational rigor.
Intersight, an AI software company previously focused on building AI-powered sales enablement applications, has partnered with this team from UW Medicine to contribute its AI and software development expertise. This collaboration ensures that LarryAI delivers feedback and coaching that is not only evidence-based and credible but also scalable, technically robust, and impactful.
Why LarryAI was born, in Larry's own words:
"Over thirty years of teaching residents and practicing clinicians about communication, I was consistently frustrated by the time limitations and small numbers of observations preventing accurate and useful competency assessment. The advent of LarryAI is a quantum leap forward in making coaching more accurate and effective."
- Larry Mauksch, Clinical Professor Emeritus, Department of Family Medicine, University of Washington.
Key Product Capabilities
For Clinicians (Coming Soon)
Clinicians receive private, formative feedback after real patient encounters, helping them build stronger communication skills without added stress or judgment.
Skill Growth Opportunities:
See AI-suggested skill growth opportunities based on aggregated encounters over time. Create personal development goals for specific skills and patient complexity and track progress.
Formative Feedback After Every Encounter:
Access the transcript and private, non-evaluative coaching after each patient visits.
Seamless User Experience:
LarryAI processes transcripts from your ambient scribe tool like Abridge and DAX Copilot or self-recordings.
For Medical Educators (Coming Soon)
Coach more effectively in less time, while learners get consistent feedback that supports growth without adding to stress.
Learner Progress Dashboards:
Track communication skills growth over time for individuals, sites and specialties.
Add Coaching Notes:
Add educator comments alongside AI-generated insights to guide higher-level coaching.
Customizable Feedback Reports:
Generate structured summaries aligned to curriculum and accreditation requirements.
Skill Benchmarking Tools:
Compare learner performance against the PCOF standard or peer groups.
For Chief Medical Officers and Administrative Officers (Roadmap)
Give your entire organization a powerful system to strengthen clinician-patient communication, improve outcomes, reduce malpractice risk, and maximize return on educator time.
Organization-Wide Analytics Dashboard:
View aggregate communication performance metrics across departments, specialties, or the entire system.
Benchmarking Across Sites:
Compares performance between locations or cohorts to identify areas needing intervention.
Malpractice Risk Indicators:
Flags communication breakdown patterns that correlate with increased liability risk.
Resource Utilization Tracking:
Quantifies time saved on faculty observation and training, with exportable ROI reports.
Integration with Patient Experience Data:
Correlates clinician communication with existing survey results to guide targeted improvement initiatives.
Quality & Compliance Reporting:
See linkages between communication scores to patient satisfaction, safety, and regulatory benchmarks (e.g., HCAHPS/CG-CAHPS).
Planned Integrations with Ambient Scribes
Ambient Scribes: We plan to prioritize support for Nuance DAX / Microsoft Dragon Copilot and Abridge to start.
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About the Team
Larry Mauksch, MeD
Larry is clinical professor emeritus, Department of Family Medicine, University of Washington. He has 45 years experience teaching communication and time management skills to physicians and other health care clinicians. Major innovations include developing the Patient Centered Observation Form (PCOF) and the creation of a model that blends quality and time management in patient communication.
Misbah Keen, MD, MBI, MPH
Dr. Keen is a physician and medical educator focused on improving how clinicians learn and communicate, advancing patient-centered education, faculty development, and quality improvement. Dr. Keen has overseen PCOF teaching for UW medical students for 15+ years and serves on the Society for Teachers of Family Medicine (STFM)’s AI in Medical Education Taskforce, a national committee working on identifying tactics for outcome-driven, and people-centered AI in medical education.
Ian Bennett, MD, PhD
Dr. Bennett is a family physician and clinical supervisor at the Family Health Services FQHC system of Solano County Health and Human Services Department. He has worked in medical education for nearly 30 years and focuses on the care of underserved communities. His scholarship has reflected his clinical interests and has led many NIH and private foundation funded research projects. He is a member of the Society for Teachers of Family Medicine (STFM) Task Force for AI in Primary care and the US Co-Chair of the CASFM Health Informatics Work Group
Tomoko Sairenji, MD
Dr. Tomoko Sairenji is a family physician and medical educator passionate about advancing how future clinicians learn and communicate. She serves as faculty in the Department of Family Medicine at the University of Washington, where she teaches and mentors medical students and residents. Her academic interests include patient-centered communication, feedback and assessment, curriculum development, professional identity formation, and supporting student entry into Family Medicine.
Jingcong Zhao
Jingcong is the CEO & Co-founder of Intersight, an AI revenue acceleration software company that helps revenue teams improve sales effectiveness and efficiency. Prior to founding Intersight, she scaled multiple B2B SaaS startups as an early employee in a marketing leadership role. She has 12 years of experience in the software industry in companies including Tableau, Hyperproof, Shibumi and PayScale, and is experienced in product strategy, marketing, sales enablement and market research. She is also the co-founder of Cyranote, an AI communication and dating coaching app for IOS.
PCOF Resources
Free online training in using the PCOF and understanding its content is available at www.pcof.us
Sign Up for Product Updates
We plan to make the first version of LarryAI available this fall / early winter. If you'd like to be amongst the first to get access to the application and be a part of our Early Adopter Beta Program, please sign up below.
Contact Us
For inquiries, please contact us at info@keensighthealth.com
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