Clinicians Know How They Want to Care for Patients.

Real-World Pressures Make It Hard to Deliver.

The best clinicians start visits prepared, set a clear agenda early, build trust quickly, stay present while being thorough, and extend care beyond the visit. But today's reality gets in the way: rising patient complexity, short visits, staffing constraints, and administrative work that spills into evenings and weekends.

The Gap Graph

That gap affects everyone. It makes it harder for clinicians to fully address patient concerns, leaves next steps less clear, limits how much of the patient's agenda can be covered in the visit, and leaves revenue on the table when more complete encounters are not conducted and billed appropriately.

~$30 Billion Lost
U.S. health systems lose billions each year to sub-optimal visits and missed experience/3rd party quality incentives
$35-$100K / clinician / year
Missed revenue from rushed visits, missed patient needs, and open care gaps.
Woman with curly hair in white shirt holding her forehead, eyes closed with a stressed expression.

One Connected System  to Help Clinicians Make Every Visit Count

Our Pre-Visit Patient Interviewer AI talks with patients before their appointment to gather their concerns, symptoms, history, and priorities. It prepares a concise visit brief so clinicians can start informed, focus limited visit time on what matters most, and address more of the patient’s needs. LarryAI provides AI role-plays, structured communication assessments, and targeted coaching based on simulated and real patient visits—helping clinicians improve communication, decision-making, patient relationships, and care.

01. Before the Visit

Patient Interviewer AI Agent

Today's paper and digital forms frustrate patients and clinicians alike, yet fail to deliver critical context. We empower clinicians to walk into the room with a clearer picture of why the patient is here and what matters most to them.

How it works

A physician-trained AI agent conducts a pre-visit clinical interview by phone or other device, gathering symptoms, concerns, history, patient priorities, and the visit agenda before the encounter begins.

EHR and data connectors

We bring forward relevant patient history so clinicians do not have to piece everything together from scratch.

02. At the Point of Care

Clinical Companion Intelligence

Keensight Health brings together pre-visit interview data, chart history, and visit activity into actionable support clinicians can use at the point of care, including:

Pre-Visit Briefs

Summarize symptoms, concerns, and patient priorities before the encounter begins.

Ambient Documentation

Ambient scribe captures the visit and drafts the visit note.

Care Gap Signals

Signals when important concerns, care gaps, or follow-up needs may not yet have been addressed.

Diagnostic Support

Diagnostic support and recommended clinical questions to ask at the moment of care.

What Changes for Clinicians and Care Teams

IInstead of starting cold and spending visit time re-gathering history, clinicians begin with a clearer understanding of why the patient is here, what matters most, and relevant history. That means more time to address more concerns, explore treatment options, secure patient buy-in, and capture appropriate billing.

Female doctor attentively listening to an elderly female patient during a consultation.

More Complete Issue Capture

A clearer agenda from the start

More Time for Care

Less cognitive overload during the encounter

Clearer Next Steps

Lower coordination burden

Optimal Billing Per Visit

and experience and 3rd-party reimbursements

03. In-Between Visits

Coaching and Feedback

When clinicians have time between visits or during scheduled development time, they can use LarryAI to review feedback, reflect on communication patterns, and strengthen their connection with patients, manage time, and navigate challenging conversations.

Medical residency program directors and medical directors can use LarryAI to gain visibility into residents’ and clinicians’ communication skills and identify where to focus their 1:1 coaching time.

Grounded in Validated Clinical Communication Science

Our coaching capability is grounded in the Patient-Centered Observation Form (PCOF), a validated clinical communication framework developed by Larry Mauksch at the University of Washington School of Medicine. This framework supports almost all types of primary care visits, and is especially useful for patients with more complex needs.

Coming Next

Care Follow-Through AI

Keensight Health's patient-facing Care Follow-Through AI agent will extend support beyond the visit through calls and texts.

Reinforce Treatment Plans

Support Medication Adherence

Keep Patients on Track

Confident male doctor wearing glasses, a white coat, and stethoscope standing with arms crossed.

For Ambulatory Settings Where Access, Quality, and Margin Are All Under Pressure

Who It's For

01
Practicing clinicians, NPs and PAs
02
Medical residents
03
Clinical leaders
04
Care operations leaders
05
Medical education leaders
06
Quality leaders

Care Settings

Primary care
Integrative medicine
High-volume ambulatory specialities
Medical office waiting room with diverse patients seated and medical staff at the reception desk.

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 care team, and patient experience performance.

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.

Two doctors and a man in business casual discuss a laptop screen in a modern office meeting room.

Estimated annual revenue unlocked per clinician

$37,500
= 3,000 visits/clinician/year × 25% of visits impacted × $50 revenue recovery

Large health system example

$75 Million of annual revenue unlocked
across a primary network of 2,000 clinicians

These are the estimated financial benefits before factoring in patient experience, retention, or efficiency gains.

Built With Clinicians. Grounded in a Proven Clinical Framework.

Keensight Health is built by clinicians and AI architects working hand in hand, with physicians deeply involved in shaping how the system gathers information, supports decision-making, and fits into real clinical workflows.

Our clinical communication AI model is grounded in the Patient-Centered Observation Form, or PCOF, a clinical communication framework developed by Larry Mauksch at the University of Washington School of Medicine. PCOF emphasizes listening and empathy, shared decision-making, time management, and chronic disease management — skills that help clinicians build trust, stay organized, and make better use of limited visit time.

Doctor in white coat showing tablet to attentive patient in a consultation.
Listening and empathy
Efficient Time Management
Shared Decision-Making
Chronic Disease Management

The PCOF was created in 2007, it has been used to train roughly 10,000 physicians to date.

Protect the human relationship between patients and care providers

Support diverse patients and clinicians in real-world conditions

Augment clinical judgment rather than create over-reliance on AI

Reduce care burden without disrupting the patient experience

Earn clinicians' trust through transparency about what the system does and why