Complex patient needs forced doctors to rely on memory and chart after hours. Now, AI auto-generates clinical notes from conversations.
New Zealand's largest independent primary healthcare group operates over 50 clinics and serves more than 4,500 patients daily across culturally diverse communities with complex health needs.
Rising rates of complex chronic illnesses and strict accreditation standards created immense documentation burdens for clinicians. Navigating...
“By embedding Heidi at scale across all our clinics into everyday clinical practice, we’re not only improving documentation accuracy and efficiency but also reducing cognitive load for our clinicians, giving them back time to focus on patient care. This is a prime example of how we are using AI to scale, enhance workforce wellbeing, and deliver smarter, more connected healthcare.”
Private healthcare group operating general practice and urgent care clinics.
AI-powered virtual care platform for healthcare providers and patients.
Related implementations across industries and use cases
Doctors ran late and spent evenings typing notes. Now, an ambient scribe drafts concise records in real time, restoring eye contact.
Manually typing handwritten session notes took 3 hours daily. Now, an AI scribe instantly generates structured clinical summaries.
Doctors faced cognitive strain from manual entry. Now, a mobile AI listens to consults and drafts notes for physicians to review.
Doctors ran late and spent evenings typing notes. Now, an ambient scribe drafts concise records in real time, restoring eye contact.
Manually typing handwritten session notes took 3 hours daily. Now, an AI scribe instantly generates structured clinical summaries.
Compliance risks held back innovation. Engineers now use Claude Code to validate every PR for privacy and write tests 80% faster.
Doctors spent 3 hours nightly reviewing complex records. Claude now synthesizes 300-page referrals into instant patient histories.
Sonar review meant checking raw footage frame by frame. AI now scans hours of data to pinpoint targets for recovery.
Silos hid the true cost of delays. Now, AI weighs crew, cargo, and passenger factors to calculate optimal recovery plans in real time.