STROKECARE AI - HACKATHON REGISTRATION ANSWERS
1. Title of Your Idea / Solution
StrokeCare AI: Real-Time Voice AI Emergency System for Golden Hour Stroke Response

2. Summary of Idea (max. 300 words)
StrokeCare AI revolutionizes stroke emergency response through an intelligent voice-based call center system that optimizes the critical Golden Hour (4.5 hours post-stroke onset). Currently, stroke is Indonesia's leading cause of death (19.42% of total mortality), yet only 14-18% of patients receive treatment within the Golden Hour due to delayed recognition and transport.
Our solution deploys advanced AI voice agents accessible via any telephone, providing real-time FAST Protocol guidance (Face-Arms-Speech-Time assessment) to callers during stroke emergencies. The system utilizes Twilio Programmable Voice for universal phone access, Deepgram's all-in-one STT+LLM+TTS for natural Indonesian conversation, and specialized stroke detection algorithms trained on neurological protocols.
When a stroke emergency call is received, our AI immediately guides family members through systematic symptom evaluation, confirms stroke diagnosis, auto-dispatches ambulances to stroke-ready hospitals, and provides continuous support until medical arrival. This eliminates the smartphone literacy barrier of existing text-based solutions like FAST Rescue app, ensuring universal accessibility across all demographics.
Key differentiators include: 24/7 voice accessibility (vs limited human operators), real-time FAST Protocol guidance (vs self-assessment), and stroke-specialized AI (vs general emergency services). The system integrates seamlessly with Indonesia's 119 emergency network and stroke-ready hospital infrastructure.
Expected outcomes: increase Golden Hour treatment rate from 14% to 40% nationally, save 2,000+ lives annually, reduce BPJS healthcare costs by Rp 1 billion, and establish real-time stroke surveillance system. This solution directly addresses Kemkes' priority of AI-powered healthcare transformation while ensuring immediate implementation readiness through collaboration between neurologists, AI engineers, and emergency response specialists.

3. How does your solution utilize AI technology?
StrokeCare AI leverages multiple cutting-edge AI technologies to create a comprehensive stroke emergency response system:
Voice AI Technology:
Deepgram Voice Agent: Integrates Speech-to-Text (STT), Large Language Models (LLM), and Text-to-Speech (TTS) in a single AI pipeline for natural Indonesian conversation
Real-time voice processing: Enables immediate conversation without delays, crucial for emergency scenarios
Natural Language Understanding: Comprehends colloquial Indonesian expressions, panic speech patterns, and medical terminology variations

Stroke-Specialized AI Models:
FAST Protocol AI: Machine learning algorithms trained on neurological assessment protocols to guide systematic stroke symptom evaluation (Face asymmetry, Arm weakness, Speech difficulties, Time tracking)
Symptom pattern recognition: AI analyzes caller descriptions to identify stroke indicators with high accuracy
Severity scoring: Automated assessment to prioritize emergency dispatch and hospital routing

Predictive Analytics:
Emergency dispatch optimization: AI predicts optimal ambulance allocation based on location, traffic patterns, and hospital capacity
Hospital routing intelligence: Selects appropriate stroke-ready facilities based on patient condition severity and resource availability
Golden Hour optimization: Real-time calculation and tracking of critical time windows

Conversational AI Features:
Context awareness: Maintains conversation flow and remembers previous caller information
Emotional intelligence: Detects panic levels and adjusts communication style accordingly
Multi-turn dialogue: Handles complex conversations with follow-up questions and clarifications

Integration AI:
API orchestration: Seamlessly connects with existing healthcare infrastructure (hospitals, ambulance services, patient records)
Data analytics: Generates real-time insights for stroke surveillance and healthcare planning


4. What impact do you expect from your solution?
StrokeCare AI delivers transformational impact across multiple healthcare dimensions:
Immediate Life-Saving Impact:
Save 2,000+ lives annually: By increasing Golden Hour treatment rates from current 14% to target 40%
Prevent 5,000+ disability cases: Early intervention reduces permanent neurological damage
95% faster emergency response: Immediate AI guidance vs 2-5 minute traditional call center delays

Healthcare System Transformation:
National stroke surveillance: Real-time data collection enables evidence-based policy making and resource allocation
Healthcare cost reduction: Rp 1 billion annual savings in BPJS stroke treatment costs through prevention of complications
Emergency service optimization: AI-driven ambulance dispatch reduces response times by 30%

Population Health Outcomes:
Universal accessibility: Serves 270 million Indonesians regardless of smartphone access or digital literacy
Health education at scale: 500,000+ people annually receive stroke awareness through AI interactions
Rural healthcare equity: Bridges healthcare gaps in underserved areas through voice-based accessibility

Healthcare Innovation Leadership:
First AI voice emergency system in Southeast Asia, positioning Indonesia as regional healthcare innovation leader
Scalable model: Template for other emergency conditions (heart attack, diabetes complications)
International recognition: Potential WHO adoption for developing countries with similar healthcare challenges

System Integration Benefits:
Enhanced 119 emergency services: Stroke-specialized routing improves overall emergency response effectiveness
Stroke-ready hospital network: Optimized patient flow and resource utilization
Medical training advancement: AI-generated insights improve emergency response protocols

Long-term Societal Impact:
Reduced family trauma: Confidence in emergency response reduces psychological burden on families
Increased stroke awareness: Population-wide education through AI interactions
Healthcare workforce augmentation: AI supports limited medical personnel, especially in remote areas

This solution directly fulfills Kemkes' vision of AI-powered healthcare transformation while delivering measurable, immediate benefits to Indonesia's most vulnerable stroke patients.

5. Agreement & Confirmation
Will all team members commit to participating in the full event series? YES
Do you agree that submitted data will be used for hackathon organization purposes? YES




Kementerian Kesehatan Republik Indonesia. (2023). Profil Kesehatan Indonesia 2023. https://kemkes.go.id/app_asset/file_content_download/172231123666a86244b83fd8.51637104.pdf

Kementerian Kesehatan Republik Indonesia. (2024). Survei Kesehatan Indonesia (SKI) 2023 — hasil & angka. https://www.badankebijakan.kemkes.go.id/hasil-ski-2023/

American Heart Association. (2019). Suggested Time Interval Goals for Stroke Treatment (Door-to-Needle etc.) [PDF]. https://www.heart.org/-/media/files/professional/quality-improvement/target-stroke/target-stroke-phase-iii/9-17-update/ds14860-time-interval-one-pager_v2.pdf

Khandelwal, A., Sarma, K., Hussain, M., Dikshit, P., & Baidya, D. (2025). Acute ischemic stroke and the golden hour: Critical updates. Journal of Neurosciences in Rural Practice. https://ruralneuropractice.com/acute-ischemic-stroke-and-the-golden-hour-critical-updates/

"Door to needle time 25 minutes thrombolysis therapy in acute ischemic stroke." Journal of Neurosurgery. https://www.jns-journal.com/article/S0022-510X%2819%2930999-2/fulltext