Healthcare
Ambient clinical notes
With the patient's consent, the consultation is turned into a draft note in your template, which the clinician checks, edits and signs in the record.
Custom app
Healthcare · Agent
Discharge summaries drafted from the record
AI-drafted hospital discharge summaries for clinician review
A first draft of the discharge summary is assembled from the stay's notes, results and medication changes, ready for the treating doctor to check and sign.
01 today
The problem
Junior doctors write discharge summaries at the end of a busy shift, pulling details from days of notes. Summaries go out late or thin, so GPs and community teams start without the full picture, and patients wait on the ward for paperwork.
02 the run
What the AI does
- Step 1: Starts when a patient is marked as expected to go home, and gathers the admission notes, ward round entries, results and procedures from the record.
- Step 2: Lists the medication changes made during the stay, with the reason recorded in the notes for each one.
- Step 3: Drafts the summary in your hospital's template: reason for admission, what happened, follow-up and actions for the GP.
- Step 4: Links every statement to the note or result it came from so the doctor can check it quickly.
- Step 5: Writes a plain-language version for the patient, kept separate from the clinical summary.
paused: waiting for a person to approve
03 human in the loop
Where a person approves
The treating doctor checks every line against the record, edits and signs the summary before it is sent. Medication changes are confirmed by the doctor or pharmacist, never taken from the draft alone.
04 after
What changes
Summaries are ready when the patient is, and the doctors who write them spend their time checking rather than copying. GPs and community teams receive complete, consistent letters.
Case studyDischarge summaries ready when the patient isThe rollout, what to measure, a worked example and the research behind it.see also
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Agent
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