Clinic workflow
Patient-facing visit capture and review for modern clinics
MyHealthVaultAI is designed to help patients understand, remember, and safely follow through on what occurred during care. For clinics, the platform direction is not about replacing the chart. It is about reducing post-visit confusion by giving patients a clearer, more structured way to review diagnoses, medication changes, recommendations, and follow-up expectations.
Clinical problem
Why post-visit understanding breaks down
A significant portion of outpatient care depends on what the patient successfully remembers after the visit ends. That includes medication starts and stops, dosing changes, monitoring instructions, follow-up timelines, referrals, and the practical meaning of the assessment and plan.
In real clinical settings, that recall often degrades quickly. Patients may leave the encounter without fully understanding what changed, what requires action, or what should happen next. This creates downstream confusion during medication management, home follow-through, and future visits.
Sterling Health Technologies is building MyHealthVaultAI around this exact gap: not just capturing information, but helping patients revisit it later in a form that is more structured, readable, and useful.
Why clinics care
Workflow model
A patient-review model for visit understanding
MyHealthVaultAI is designed to sit after the encounter as a patient-facing review layer. The intent is to preserve what happened during care, organize it into a structured summary, and support safer understanding of medications, instructions, and follow-up expectations over time.
Clinical encounter occurs
The patient completes a routine outpatient visit in which diagnoses, medication changes, recommendations, and follow-up plans are discussed.
Visit information is captured
MyHealthVaultAI is designed to support patient-controlled capture and structured preservation of what occurred during care.
AI summary and review layer
The platform organizes visit information into a patient-facing summary intended to improve recall, readability, and later review.
Medication and follow-up clarity
Medication changes, instructions, and follow-up expectations can then be reviewed in a structured interface rather than relying on memory alone.
Workflow summary
Medication reconciliation layer
Medication discrepancy awareness for patient review
Medication understanding is one of the highest-friction points after care. Patients may receive starts, stops, dose changes, or follow-up instructions that become difficult to reconstruct later, especially across multiple visits or providers.
MyHealthVaultAI is being designed to surface medication changes and discrepancy patterns in a structured, patient-facing environment. The purpose is not to replace clinical judgment, but to reduce ambiguity before errors or misunderstandings propagate into the longer-term record.
This includes the ability to highlight conflicting medication instructions, organize changes from a visit, and preserve the reasoning trail for later review.
Positioning clarity
What MyHealthVaultAI is and is not
Not an EHR replacement
MyHealthVaultAI is not positioned as a replacement for the clinic record or existing documentation systems. It is a patient-facing understanding layer designed to help patients retain and review what happened after care.
Not invisible automation
The platform is designed around transparent review states rather than silent background automation. Patients should be able to see, review, and confirm what is being surfaced to them.
A continuity support system
The product direction is centered on post-visit continuity: helping patients revisit instructions, medication changes, and follow-up guidance across time rather than losing the visit once it ends.
Clinic-facing conclusion
A patient understanding platform designed to strengthen continuity after the visit
Sterling Health Technologies is building MyHealthVaultAI as a patient-facing care understanding layer. The aim is to help patients retain what happened during care, review it later, and act on it more safely. For clinics, that means better support for recall, medication understanding, follow-up clarity, and continuity across encounters.