Aidaoke connects healthcare IT, data governance, and AI applications with the everyday needs of hospitals.
Technology startswith clinical reality.
We build practical digital capabilities around hospital workflows, existing systems, and the data foundations that connect them.
Who We Are
A team focused on healthcare IT, data governance, and practical AI applications for hospitals, medical groups, and regional health platforms.
What We Work On
Connecting clinical knowledge, quality management, data, and patient services to everyday healthcare workflows.
How We Collaborate
From needs assessment and solution design to implementation and ongoing improvement, we define project scope, data boundaries, and acceptance criteria together.
Understand the work. Connect the capabilities.
We bring data, knowledge, and intelligent applications together around meaningful healthcare workflows.
Clinical Decision Support
Clinical knowledge retrieval, supporting reminders, and decision support within care workflows.
- CDSS
- VTE
- Medication Review
- Knowledge Retrieval
- Patient context
- Knowledge & rules
- Clinical decisions
Medical Quality Management
Information tools for record quality control, VTE prevention, infection surveillance, and nursing.
- Record QC
- DRG/DIP
- Infection Control
- Smart Nursing
- Records & events
- Review & analysis
- Quality workflows
Healthcare AI Applications
Explore medical LLMs, question answering, and text processing in healthcare workflows.
- Medical LLM
- Pre-consultation
- Follow-up
- Internet Hospital
- Medical knowledge
- Models & retrieval
- AI applications
Data Integration and Governance
Support healthcare data integration, standardization, governance, and business applications.
- Data Platform
- System Integration
- Data Standards
- Indicator Services
- Systems & data
- Governance & integration
- Connected workflows
Hospital Operations Management
Connect DRG/DIP management, operational metrics, and department analysis to support hospital reviews and decisions.
- DRG/DIP
- Operational Analysis
- Metric Management
- Department Collaboration
- Operational data
- Metrics & analysis
- Operational decisions
Patient Services
Connect pre-visit guidance, online care, and follow-up to support continuous patient services.
- Pre-consultation & Triage
- Internet Hospital
- Follow-up
- Service Coordination
- Pre-visit guidance
- Care services
- Follow-up
Start with a real need.Deliver a usable solution.
Translate objectives into workflows, integration scope, and acceptance criteria, then improve the solution through everyday use.
Assessment
Clarify business goals, existing systems, project boundaries, and priorities.
Stage deliverable: Workflow scope and priorities
Solution Design
Define products, workflows, data, and interfaces for the agreed scope.
Stage deliverable: Product plan, interfaces, and acceptance criteria
Implementation
Configure, integrate, test, and train; review key workflows using business samples.
Stage deliverable: Deployment, access configuration, and training
Improvement
Review operational feedback to refine configuration, rules, and user experience.
Stage deliverable: Issue tracking, operational reviews, and iteration
Our commitment
We believe healthcare AI should be built with respect for clinical reality: reliable data, practical workflows, and measurable outcomes.
Aidaoke Team
Start with Clinical Workflows
Organize capabilities around business goals, user roles, and the points where information is needed.
Combine Products by Scenario
Discuss suitable modules across clinical decision support, quality control, data platforms, and patient services.
Connect Data and Processes
Support system collaboration and analysis through integration, data standards, and shared indicator definitions.
Apply AI to Business Tasks
Explore medical LLMs, natural language processing, and knowledge retrieval for reminders, text processing, and question answering.
Support the Delivery Lifecycle
Define responsibilities and handover materials across assessment, design, implementation, and improvement.
Define Data and Security Boundaries
Review deployment options, access permissions, data use, and operational responsibilities with the project team.