Understand
Surface common questions and education gaps.
Clinician-approved general education
Diabetes education. In your patient’s language.
A managed AI digital-human experience that makes approved diabetes education more conversational, multilingual, and measurable.
Book a Demo20-second demonstration
Illustrative silent Vietnamese conversation with separate English narration and burned-in English captions.
The demonstration is ready.
Designed to support better patient education
Extend
Reinforce approved education beyond the visit.
Measure
Support broader quality and avoidable-utilization goals.
Pilot measures are defined with the health system. Results depend on clinical workflow, content quality, patient adoption, and the broader care model.
Proposed delivery approach
A practical way to begin
- 01Approved content
- 02Conversational digital human
- 03Aggregate education insight
- 04Monthly optimization report
Phase 1Scope and clinical boundaries
Designed to deploy without patient login, EHR access, or retention of patient-level interaction history in Phase 1.
- No patient login, patient record access, or EHR integration
- No individualized diagnosis, triage, dosing, or treatment advice
- Organization-approved general education content
- Human escalation for clinical, urgent, and case-specific questions
The experience complements clinicians, pharmacists, care teams, and qualified medical interpreters.
Future authentication, PHI, retention, or integrations require separate technical, privacy, security, clinical, and contractual scoping.
This is design scope, not an audited statement about a deployed clinical system.
Program insightMeasurement and evidence
What a health system can measure
- • Session volume and completion
- • Requested topics and common questions
- • Unanswered topics and confusing instructions
- • Language trends and appropriate escalations
- • Optional patient and staff feedback
- • Health-system-evaluated quality and utilization indicators
Aggregate insight methods and retention settings are defined in technical scoping. This site does not collect prospect data or conversation text.
AHRQ teach-back guidance
Asking patients to explain in their own words helps check understanding. This AI does not perform or replace clinician teach-back.
CMS Hospital Readmissions Reduction Program
Readmissions are a hospital quality and payment concern. This product is not represented as validated to reduce readmissions.
Healy et al., 2013
A retrospective study reported an association: 30-day readmission rates were 11% among hospitalized adults receiving inpatient diabetes education versus 16% among those not receiving it. Research finding; not a measured outcome of Kym Ali Consulting’s solution. No causal or outcome claim is made.
Accessible detailTranscript and technical scoping
20-second voiceover transcript
“Our photorealistic AI digital human delivers diabetes education in patients’ preferred languages. Help patients understand, reinforce education beyond the visit, and support your organization’s readmission prevention goals. Schedule a demo.”
Download English captionsEnglish, Spanish, Vietnamese, Mandarin Chinese, Korean, and Arabic are available. Language availability and organization-approved content review are confirmed during scoping; availability does not represent six separate clinical validations.
Enterprise security and compliance documentation, including available BAA and SOC 2 materials, can be discussed during technical scoping based on the final deployment configuration.
Kym Ali, MSN, RN
Founder & CEO, Kym Ali Consulting
OpenAI Select Partner. Partner designation does not imply clinical endorsement.
