Improve patient experience and revenue capture - without burning out clinicians
Keensight Health AI improves patient intake, visit flow, and follow-through, helping teams boost patient experience while supporting appropriate billing.
Before the visit
Transforming Patient Intake: Patient Interviewer AI
The Problem
Today's paper and digital forms frustrate patients and clinicians alike, yet fail to deliver critical context when it matters.
What We Deliver
We replace form-based intake with an AI interviewer that captures symptoms, history, and priorities — then generates a succinct pre-visit summary and suggested agenda so clinicians are ready before the patient walks in.
Start every visit with a clinician-ready brief before the patient walks in.
Complete Issue Capture
More complete issue evaluation → supports appropriate coding
Cleaner Agenda at Minute 0
Tighter visit flow and fewer overruns
More Time for Care
Less time re-gathering history → more time for assessment and care plan
Better Experience Scores
Higher patient experience performance → protects quality-linked reimbursement.
Estimated revenue lift per clinician per year : $25,000 to $58,000.
Watch a demo of Patient Interviewer AI:
During & immediately after the visit
LarryAI (Clinician Communication and Visit Flow Coach)
Improve patient experience and clinician satisfaction — without adding staffing
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 analyzes encounter transcripts and delivers structured, private coaching grounded in the Patient-Centered Observation Form (PCOF) — turning every visit into a learning opportunity. Clinicians build the skills most linked to patient satisfaction: rapport-building, agenda-setting, clear information sharing, collaborative care planning, and efficient time management.
Where it helps most:
New Hire Onboarding
Accelerate skill ramps for new clinicians joining the team.
Targeted Support
Focused coaching for clinicians receiving patient complaints.
Ongoing Development
Consistent professional development across all sites.
Outcomes for health systems
1
1
Better Experience Scores
More patient-centered visits, clearer plans, and better visit flow
2
2
Less Cognitive Load
Clinicians stay present and focused during encounters
3
3
Appropriate Billing
More issues addressed and thorough treatment plans support coding
4
4
Lower Malpractice Risk
Cost containment on malpractice insurance premiums
After visit
Care Follow-Through AI for Sustained Patient Support
Extend the care plan beyond the visit - without adding uncompensated work.
Most care teams simply don't have the capacity to follow up with every patient who needs it. As a result, some patients leave visits without a clear, usable plan — and the gaps show later as missed meds, delayed improvement, and more downstream utilization.
Care follow-through AI engages patients after a visit — and in between visits — to provide support most care teams can't consistently deliver today: reinforce treatment plans, support patients in implementing behavior and lifestyle changes, and promoting medication adherence.
Outcomes for clinics and health systems
Reduced Coordination Burden
Less uncompensated follow-up work for already stretched care teams.
Better Chronic Disease Support
Patients stay on track between visits with consistent, personalized engagement.
Fewer Care Plan Gaps
Fewer avoidable gaps in care plan execution and downstream utilization.
ROI That Works at Health-System Scale
Keensight Health is designed to pay back quickly by improving visit completeness, documentation quality, clinical communication skills of the entire care team, and patient experience performance.
Example Economics (Simple)
Priced per visit (~$5/visit for intake + coaching)
~3,000 visits/year — Typical outpatient clinician volume
3,000 opportunities — Per clinician to improve visit completeness, documentation, and patient experience performance.
The payback can happen in ~2 to ~4 months—not years—with meaningful annual net gain per clinician.
Higher Billable Amount Per Visit
More complete visits and thorough documentation support appropriate coding.
Higher Experience-Linked Reimbursement
Reimbursement tied to patient experience performance.
Avoidable Utilization
Reduction through shared savings and better care plan follow-through.
Backed by UW COMotion Innovation Gap Fund
Supported by Leading Innovation Partners
Winner of the University of Washington CoMotion Innovation Gap Fund grant, supporting promising researchers building high-impact solutions.
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 30 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.
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.