Minikai is a person-centred AI platform built for disability and aged care providers.
Supporting over 16,000 people across Australia, New Zealand and the UK
Insights
Your systems don't talk to each other. Minikai brings them together and talks to you.
Every person gets their own
Mini: an AI advocate that understands their needs and history.
Embed quality into daily practice
Translate procedures and support plans into summaries that are easy to understand.
Starting lunch with Ned, what do I need to get right?
Ned's plan asks for three things at every meal:
- Food is soft and moist, in pieces no bigger than the gap between fork prongs.
- Drinks are mildly thick, a little thicker than water.
- Sit Ned upright and stay with him for the whole meal.
Audit with complete coverage
Complete desktop audits across the population instead of spot-checking individual files.
Run a desktop audit for me: is consent evidenced in personal care notes, for everyone we support?
Finished. I reviewed the personal care notes of all 412 participants. 3 need consent evidence added. Please review the cases below.
412 of 412participant files reviewed
398 evidenced11 partly evidenced3 not evidenced
Marcus TNon-verbal · communication plan in place
Not evidencedMarcus gives consent through object cues and a hand squeeze. His last 14 care notes describe the routine, but none record how consent was sought.
2 citations
Identify risks earlier
Surface trends across multiple sources to identify risks and outstanding actions.
Maya's plan review is next week. Is there anything her plan doesn't cover?
Six notes in eight weeks record Maya covering her ears and leaving during meal prep. Her behaviour support plan has no section on noise. Flagging for the review.
14 May“covered her ears at dinner prep and went to her room”
21 May“asked to eat later, said the kitchen was too loud”
29 May“left the dining room when the blender started”
5 Jun“wore her headphones through dinner”
18 Jun“stood by the door until the exhaust fan was off”
26 Jun“took her plate to her room during clean-up”
Quality at the point of capture
Coach your workforce to capture high quality notes and incident reports on shift.
went out today with ned to shops. yelled at some people and was bit angry
I can help you log this. Before I draft it, let me check a couple of things so it's recorded accurately.
- Who was angry, Ned or someone else?
- What was happening just before the yelling?
- How did Ned settle, and how is he now?
It was Ned, the shops were really crowded and loud. He settled once we sat on the quiet bench outside, and now he's
0:21
What would you ask about the people you support?
For example: Write up this morning's shift with Ned