Full case study · Client
Hospital Maternidade Santa Joana
Patient support and triage at Santa Joana
“Madrinha Joana”: a 24/7 AI agent via WhatsApp for pregnant women at Santa Joana Maternity Hospital
Hospital Maternidade Santa Joana · Healthcare / Maternity · 2024
- Segment
- Healthcare / Maternity
- Case study context
- HealthcareReal CaseWhatsAppMaternityClinical Triage
Source and scope
Case study published by Starya. The text, indicators and testimonials below belong to the scope described. They are not independent validation or a guarantee of results in another operation.
Published title
Personalized and efficient care that saves lives
Key Results
- Response time
- ImmediateImmediate 24/7 response
- AI autonomy
- HighNo human escalation needed
- Availability
- 24/7Including nights and weekends
- Patient satisfaction
- +90%Post-launch internal surveys
Challenge
High-risk pregnancy poses a constant challenge for healthcare professionals: detecting warning signs before they evolve into serious situations, such as preeclampsia. At Santa Joana Maternity Hospital, this reality was even more complex due to team overload and limited immediate communication channels. Pregnant women—often with questions that arise outside service hours—needed an alternative that not only responded quickly, but also offered support and safe guidance.
Solution
To meet this demand, StaryaAI, together with Santa Joana Maternity Hospital, created “Madrinha Joana”: an intelligent and empathetic AI agent operating through WhatsApp Business. Through a co-creation process, the following were built:
Integrations & Technologies
- WhatsApp Business API
- Twilio
- StaryaAI Nebula
- GPT-4
- Human-in-the-loop
- LGPD Compliance
Impact Metrics
- Conversations with patients
- 10k+Accumulated since launch
- Response time
- < 1minAvailable 24/7
- AI autonomy
- +95%Interactions without escalation
- Protocols flagged
- 100+Preventive interventions performed
Automated Clinical Triage
- Automatically detected
- Pre-eclampsiaVia symptom analysis
- Real-time flagging
- HypertensionImmediate team alert
- Early warning
- Premature laborBefore critical escalation
- Early identification
- InfectionsPost-partum and gestational
- Psychological support
- Emotional signalsEmpathy and digital care
- Safe guidance
- MedicationsWithin clinical protocols
Understanding the service
Proven result:
Madrinha Joana proactively detected critical cases such as hypertension, premature labor, and post-partum infections — directly contributing to the protection of both mothers and babies.
Results
The impact of “Madrinha Joana” was felt in the first weeks of operation:
Over 95% of interactions were handled exclusively by AI, with only a small fraction escalated to the human team — freeing staff to focus on high-complexity clinical cases.
Usage remained stable over time, reflecting patients' trust in the humanized digital care experience provided by Madrinha Joana.
Testimonial
As a result, we have already saved lives, detecting early problems such as hypertension, premature labor, post-partum infections, among others. Patients highlight that the environment created by Madrinha is welcoming, non-judgmental, and that they have access to expert information whenever needed.
Next Steps
The next steps describe plans recorded in the case study; they do not confirm subsequent delivery.
Exam Scheduling
Integrated module for scheduling exams and consultations directly via WhatsApp.
Predictive Analytics
Machine learning models to anticipate complications before symptoms arise.
Multichannel Expansion
Incorporate voice calls via WhatsApp Calling, RCS, and other emerging channels.
What changes in your context?
Use this case study to discuss the process, data, responsibilities and evaluation criteria for your operation.