News & Updates
August 10, 2026
Governing AI in Australian health: privacy, PHI and safe adoption
Most AI conversations we have with health organisations stall at the same point. Not "does it work", but “where does the patient data go, who is accountable when it goes somewhere it shouldn't, and who signs the output”. Those are the right questions ...
August 7, 2026
Scanning public health signals: outbreak and drug safety news monitoring
The first post in this series described a daily digest: a scheduled job that reads a wide set of sources, summarises them, and emails one message to one group. It works because nobody is relying on it for anything time critical. If it misses somethin ...
#public-health-surveillance#drug-safety#alerting#llm-classification#integration
August 5, 2026
A policy and procedure chat assistant for health organisations
Most health organisations have somewhere between a few hundred and a few thousand internal documents that tell staff how to do things. Consent forms. Incident escalation. Rostering rules. Infection control procedures. Which form goes to which committ ...
August 3, 2026
Where deterministic matching ends: cleaning and matching patient records with AI
Every organisation that runs more than one system eventually holds the same person several times over. A referral arrives with a shortened first name and no date of birth. The patient administration system has them at their old address. The billing s ...
#entity-resolution#data-integration#centazio#master-data#fhir
July 31, 2026
From meeting audio to structured minutes in health settings
Most health services we talk to are drowning in meetings before they get anywhere near a patient. Clinical governance committees, quality and safety, credentialling, infection control, drug and therapeutics, plus multidisciplinary case conferences th ...
#meeting-transcription#speech-to-text#clinical-governance#privacy#ai-governance
July 28, 2026
Mining patient feedback and complaints for themes
Most health services in Australia are sitting on several years of patient comments that nobody has read from start to finish. The Likert scores get tabulated and put in the quarterly pack. The free text gets skimmed by whoever is assembling that pack ...
#patient-feedback#natural-language-processing#clinical-governance#privacy#large-language-models