Before the visit
Transforming Patient Intake: Patient Interviewer AI
We replace inefficient form-based intake with intelligent care orchestration. Today's paper and digital forms frustrate patients and clinicians alike, yet fail to deliver critical context when it matters. Clinicians walk into visits unprepared, patients repeat themselves, and previous visit time is wasted.
Patient Interviewer AI gathers patient concerns, determines the visit agenda, and provides the clinician with a succinct intake note – so each visit starts prepared.
Watch a demo of Patient Interviewer AI:
During & immediately after the visit
LarryAI, the Clinician Communication Coach AI and Ambient Scribe
There's no scalable encounter-based coaching for practicing clinicians today. Direct observation and human coaching require time and staffing that most organizations can't sustain.
LarryAI, the AI Clinician Communication Coach, delivers scalable, cost-effective coaching to help clinicians improve their patient-centered communication and time management skills.
LarryAI analyzes transcripts from real encounters and uses a proven, patient-centered communication framework, the Patient Centered Observation Form (PCOF), to deliver feedback.
Feedback is private and formative only, so clinicians and medical residents are able build stronger communications skills without added stress or judgment.
A sample Clinical Communication Development Report generated by our AI model, based on transcripts analysis
Free Ambient Scribe Included
LarryAI comes with a free, lightweight ambient scribe for fast documentation. Clinicians get relief from charting work.
Meanwhile, our full ambient scribe goes further by creating a richer note that automatically pulls in relevant patient details gathered before and during the visit.
Care Settings and Clinical Specialities
We are currently optimizing our AI solutions for care teams in outpatient settings, focusing on:
- Primary care (first)
- Integrative medicine (up next)
AI: Trained by Clinicians and Grounded In a Trusted Clinical Communication Framework
Our AI agents are trained in a patient-centered communication framework called the Patient Centered Observation Form (PCOF). This helps AI operate with clinician-grade intelligence and empathy – so patients feel at ease and supported in all conversations with AI.
Clinicians are coached using proven best practices underpinning the PCOF.
PCOF uniquely emphasizes skills highly correlated with increased patient satisfaction, including:
PCOF is now the most widely adopted communication training program in U.S. medical residencies and health systems.
The Patient-Centered Observation Form (PCOF) is a communication skills training framework for clinicians and medical teams developed by our co-founder, Larry Mauskch, MED, in 2003 at the University of Washington.
The PCOF 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 our AI agents in PCOF, we ensure that the coaching clinicians receive is tied to a proven, research-backed standard rather than ad-hoc impressions.
Free online training in using the PCOF and understanding its content is available at www.pcof.us
"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.
Backed by UW COMotion Innovation Gap Fund
Supported by Leading Innovation Partners
The team behind Keensight Health is a winner of the University of Washington CoMotion Innovation Gap Fund grant. This program supports promising university researchers developing solutions to pressing needs in software/IT, life sciences, engineering, and social impact.
About the Team
Jingcong Zhao | CEO
Jingcong is a technology entrepreneur. Most recently, she served as the CEO of Intersight, an AI revenue acceleration software she co-founded with Aamir Allaqaband in 2024. She is a P&L fluent go-to-market leader who took multiple B2B SaaS/AI companies from stage 1 to scale. Her strengths include growth, revenue operations, product sense, marketing and execution speed. She is also the co-founder of Cyranote, an AI communication and dating coaching app for IOS.
Ian Bennett, MD, PhD
Head of Research & Implementation
Dr. Bennett is a family physician and clinical supervisor at the Family Health Services FQHC system of Solano County. 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 serves on the Society for Teachers of Family Medicine (STFM) Task Force for AI in Primary care and is the US Co-Chair of the CASFM Health Informatics Work Group.
Larry Mauksch, MeD
Fractional Head of Training & Professional Services
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
Chief Science & Innovation Officer
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. He was an advisory board member for Lotus Health in 2025 and has implemented health IT systems (EHR and ambient scribe tools).
Aamir Allaqaband
Head of Technology
Aamir is an experienced technical product management professional with 14 years of experience in the technology industry. As a product leader, Aamir led engineering and applied science teams that shipped customer-facing AI shopping products used by millions at Amazon.com. He also built enterprise-grade, compliant systems used by Fortune500 CIOs at Microsoft. His strengths include UX, product design, AI system design/evaluation, and hiring technical talent.