An AI patient qualification and engagement system for hearing care. It pre-screens inbound enquiries, prepares qualified patients before their appointment, and hands the clinician a complete, sign-off-ready data pack before the patient arrives.
Clinics spend scarce appointment slots finding out whether a patient needed one at all. Enquiries arrive unqualified, patients arrive unprepared, and the clinician starts every consultation from zero — collecting history and expectations that could have been gathered before the visit.
Inbound enquiries are pre-screened through validated clinical self-assessments, qualified patients are engaged and prepared before the visit, and the clinician receives a complete, sign-off-ready data pack before the patient arrives. Appointment slots go to the patients who need them.
Qualified enquiries — validated clinical self-assessments filter inbound demand, so clinics see the patients who need them.
Prepared patients — expectations, history and the questions worth asking are gathered before the visit, not during it.
Sign-off-ready data pack — the clinician starts the consultation with a complete picture, ready to confirm rather than collect.
Privacy by architecture — the system holds no personal data; the source of truth stays in the clinic's own systems.
Inbound enquiries go through validated clinical self-assessments, so appointment slots are spent on patients who need them.
Qualified patients are engaged and prepared before their visit — expectations, history, the questions worth asking.
The clinician receives a complete, sign-off-ready data pack before the patient arrives.
Nothing reaches a clinical record until an audiologist confirms it — sign-off is a step in the flow, not a policy on paper.
MyHearing follows the principle that runs through everything we build: AI drafts, scores and suggests — a person decides. Every result is confirmed by an audiologist before it counts, and the system holds no personal data. The source of truth stays in the clinic's systems.