Handover summaries draft themselves from the whole record, ready for the clinician to review and sign. Clinical handover summaries, discharge letters and shift reports, generated by AI from de-identified records running in your own cloud. Because the AI reads one connected, longitudinal record (not eight disconnected silos), its output is grounded in real data, not fragments.
Contact usPII is stripped before anything reaches the AI. The LLM runs in your own tenancy. Clinicians review and approve before release.
A clinician requests a handover summary. HealthOS pulls the relevant clinical records (progress notes, assessments, medication charts) and strips all personally identifiable information (structured identifiers by rule, free-text by scan). Each request carries a private token so the returned summary re-links to the right patient without the model ever seeing who they are. The de-identified record is sent to a large language model running in your own cloud account; the summary comes back and is available for the clinician to review, edit or regenerate before release.
Most healthcare AI products send clinical data to a shared cloud API. HealthOS does the opposite, the model runs inside your own cloud account. Your data stays in your tenancy. Your security team controls the keys.
AI handover isn't a standalone tool. It sits inside the care record your clinicians already use. Handover summaries, discharge letters, shift reports and transfer notes are generated from the same assessments, progress notes and care plans that staff enter every day.
We will walk you through it on real data. Bring questions.