• Team built inside a $1B+ operation

  • Socratic AI for clinical staff competency and patient comprehension

  • Real-time learning data for clinical educators and care teams

  • Works alongside your existing EHR and clinical systems

We understand the healthcare industry challenges

mode40 practitioners understand what your Chief Nursing Officer needs to see, what your clinical educators are assessing with annual competency checklists that prove nothing, and what your patients leave the hospital not understanding. Lila is a Socratic AI platform that turns every learning interaction into data. For clinical staff, it captures whether they actually understand a new protocol. For patients, it captures whether they actually understand their care plan. Not whether they signed the form. Whether they understand it.

Pain Points

Your clinical staff completed the training module. Your patient signed the discharge form. Neither metric tells you whether they actually understood.

Annual competency assessments check a box. They do not measure understanding. A nurse completes a module on a new medication protocol. The system records completion. Nobody knows whether they understood the dosing implications until something goes wrong on the floor.

How We Work in Healthcare

What a mode40 engagement looks like inside a health system.

/01

Learn

We map where clinical competency and patient comprehension data exists in your health system, where it does not, and what that gap costs you in readmissions, safety events, and onboarding time.

Your clinical LMS. Your EHR education modules. Your patient education materials. Your competency assessment process. We follow the data through every system to find where learning is actually measured, where completion is treated as comprehension, and where the gap between what your staff and patients know and what your systems record creates real clinical and financial consequences.

By the end, you have a clear picture of where your education data architecture holds, where it breaks, and what closing those gaps is worth in readmission rates, safety outcomes, onboarding timelines, and compliance exposure.

Where we look:

  • Clinical LMS and competency assessment workflows
  • EHR-embedded education and discharge instruction processes
  • Patient education materials and comprehension verification methods
  • New hire onboarding and preceptor programs
  • Continuing education and certification tracking
  • Regulatory compliance documentation (Joint Commission, CMS, state boards)
  • Nursing education and simulation program data
  • Clinical knowledge sharing and institutional expertise transfer

/02

Implement

A nurse works through a new protocol with Lila. The dialogue captures what they understand and where the gap is. Their clinical educator sees it before the nurse is on the floor. A patient works through their discharge plan with Lila. Their care team sees what they understood and what needs reinforcement before they leave.

This is where clinical competency and patient comprehension stop being assumptions and become measured data. Lila engages both audiences through Socratic dialogue. Not a quiz. Not a video with a checkbox. A conversation that adapts, asks follow-up questions, and surfaces the precise point where understanding breaks down.

For clinical staff, every interaction generates competency data that replaces the annual checklist. For patients, every interaction generates comprehension data that replaces the signed form. Both flow to dashboards that clinical educators and care teams can act on.

Lila integrates with your existing EHR and clinical systems. Nothing gets ripped out. Nothing gets replaced. Your clinicians keep their workflows. The system adds the layer of competency and comprehension data they have never had.

What this looks like in your health system:

  • Clinical staff interact with Lila as a Socratic AI educator. Every dialogue generates real-time competency data
  • Patients interact with Lila for discharge education, medication understanding, and care plan comprehension. Every interaction is documented
  • Clinical educators see a competency dashboard showing where each staff member stands. Not last year’s assessment. Right now
  • Patient comprehension profiles show care teams what each patient understands before discharge. Not whether they signed. Whether they understood
  • Your EHR, clinical LMS, and patient education systems feeding and receiving from the same platform

/03

Automate

A new nurse's Socratic dialogue reveals a gap in high-alert medication protocols. The system identifies it before their first independent shift. A patient's responses show they do not understand their anticoagulant regimen. The system flags it before discharge.

That is what intelligence looks like in a healthcare environment. Not a completion report. Not an annual assessment. A system that watches clinical competency signals and patient comprehension patterns. And acts on what it finds.

A group of new hires all show the same gap in central line maintenance protocol. The system recommends a targeted skills session before the gap becomes a CLABSI event. A patient population’s comprehension data reveals that discharge instructions for a specific procedure are consistently misunderstood. The system flags the content for revision before readmission rates climb. Compliance documentation that used to consume weeks of clinical educator capacity generates itself from learning interaction data.

Clara, the AI assistant embedded in the platform, surfaces patterns across clinical staff and patient populations. Identifies systemic competency gaps. Answers staff questions about protocols and procedures in plain language.

The system learns from every interaction, every intervention, every outcome. It gets sharper over time without adding headcount.

/04

Enable

Your new nurse opens Lila and works through the unit-specific protocols before their first shift. Your patient works through their care plan and asks the questions they were too overwhelmed to ask the doctor.

That is what adoption looks like. Not a training module everyone clicks through on their first day. A system your clinical staff reach for because it makes competency development personal, and your patients reach for because it makes their care plan understandable.

Lila puts clinical protocols, medication references, procedure-specific education, and patient care plans in front of both audiences through Socratic dialogue. For staff, on the unit. Not in an annual skills day. For patients, at their bedside or on their device. Not in a stack of printed handouts.

When your most experienced charge nurse retires, their knowledge of how to train a new nurse, how to explain a complex procedure to a patient, how to handle a clinical exception does not retire with them. It is documented, structured, and available to every nurse and every patient who needs it.

What your health system gets:

  • Clinical staff trained through Socratic AI with real-time competency verification
  • Patient education that measures comprehension, not just delivery
  • Veteran clinical expertise captured and always current
  • New hires ready for independent practice faster with documented competency data
  • Compliance and accreditation documentation that generates itself from learning data

Results

Documented. Not projected.

  • $1B+

    Team built and operated inside a billion-dollar operation. Same rigor applied to clinical learning data.

  • Socratic AI

    Every interaction with staff and patients generates comprehension data that did not exist before.

  • Dual audience

    One platform serving clinical staff competency AND patient comprehension.

  • Works with your systems

    Integrates with your existing EHR and clinical LMS. Nothing replaced.