Continuous support for mothers and babies
Support continues after discharge.
AnaBalaCare helps follow how mother and baby are doing between appointments. It notices changes at home early and alerts a specialist when their help is needed.
Mother
Support every day, not only at appointments
Specialist
A clear summary instead of a long message history
Organization
One standard of care and measurable results
Where support breaks down
The appointment ends.
The questions do not.
Between appointments, changes in a mother or baby's condition can go unnoticed. A mother may be alone with a question at night, while a specialist learns about the problem only when urgent help is already needed.
Nobody is watching between visits
Two weeks without data is two weeks in which anything could have happened.
It can be hard to know when to ask for help
Some changes are normal, but genuinely concerning symptoms may be put off for too long.
The specialist has to start again
Each consultation begins by collecting information the mother has already shared.
Specialist time is limited
Much of it is spent working out who needs help first.
The care model
Continuous support instead of isolated appointments
The platform keeps a clear history of how mother and baby are doing, not just a message log. It updates when something changes and helps decide what happens next: answer, check back later, or involve a specialist.
One week of care — in twelve seconds
The platform follows health, not chat
Messages provide context, while decisions use clear information about mother and baby.
Most requests do not need a specialist
The platform provides everyday guidance and later checks whether it helped.
Clinical rules determine urgency
Only an explicit clinical rule can set the red level. AI cannot change that boundary on its own.
For mothers
Support every day, not only at appointments
A mother can describe how she feels and how feeding is going in Kazakh, Russian or English. The platform reviews her message and works out the next step.
When help is urgent
SOS sends the specialist a complete summary
The specialist receives what has happened over the past few days, what has already been tried, and whether it helped. There is no need to start from the beginning.
A short check-in
A few questions instead of a long questionnaire — the platform asks only for the information it needs.
Write in your own words
A message becomes clear information: what hurts, how often, and for how many days.
Guidance for this situation
Not a general article, but a practical next step supported by an approved source.
A follow-up a day or two later
The platform asks whether it helped and uses the answer in ongoing support.
For professionals
Start with what matters, not the entire message history
A specialist immediately sees what is known, what changed, what has already been done, and what is still missing. Work starts with a decision, not with reading every message.
A queue ordered by need
The system computes priority, not the order messages arrived in.
A complete care history
Symptoms, actions and outcomes in one timeline.
A brief with sources
Every conclusion leads back to the approved knowledge base.
A visible automation trail
Exactly what the platform did before you, step by step.
Automation trail
request 41 · 6 steps
Observations extracted
breast pain 7/10, temperature 38.2, day 4
Rules matched
systemic signs with localised inflammation
Risk band changed
amber → red
Evidence retrieved
3 passages from the approved protocol
Urgent request sent
sent to the hotline
Specialist summary prepared
brief, with links to sources
For organizations
One standard of care that does not depend on one specialist
A knowledge base you control
Guidance draws only on sources the organization has approved.
Training on real cases
Consultation simulations and certification inside the same platform.
Measurable outcomes
Outcomes, response times and workload are counted, not estimated.
Runs inside your organization
The app, models, and database run on your infrastructure. Data does not leave.
Where attention goes
101 requests were reviewed. 7 were sent to a specialist.
The other 94 still received support: the platform assessed them, provided guidance, and scheduled follow-up. A specialist was not needed.
- Reviewed
- 101
- Supported by the platform
- 94
- To a specialist
- 7
supported by the platformspecialist needed
Figures from a pilot dataset in the demonstration environment, not the result of a clinical study. Shown to illustrate the distribution of attention the platform produces.
What's next
Breastfeeding support is the first program, but the platform goes further
Each clinical program has its own observations, rules, knowledge sources, specialist pathways, and outcome measures. Continuous support, risk assessment, queues, follow-up, training, and analytics remain shared across the platform.
Platform
Programs
Dashed lines show programs planned for a later phase but not yet launched.
See how the platform prepares a complete specialist summary
In the demonstration environment, messages become clear health information, risk is reassessed, and urgent requests are sent in real time.