Designing Data Architecture for a Healthcare Data App using 3 AIs скачать в хорошем качестве

Designing Data Architecture for a Healthcare Data App using 3 AIs

In Part 2 of our pharmaceutical cost optimization dashboard series, I demonstrate a systematic 6-step approach to data discovery and architecture design using strategic AI collaboration. What You'll Learn: How to map detailed data requirements for complex features Systematic approach to researching data availability in enterprise systems Creating practical data architectures that work within real constraints Using different AI tools strategically based on their strengths Generating realistic synthetic data for development and testing Multi-AI Workflow Demonstrated: 1. Claude - Structured data requirements analysis 2. ChatGPT - Hospital systems research and feasibility assessment 3. Claude - KNIME-focused architecture design (ideal vs realistic) 4. Gemini - Technical validation and performance considerations 5. Gemini - Synthetic datasets table and schema design 6. ChatGPT - Realistic synthetic data generation Key Takeaways: Strategic AI tool selection based on specific strengths Designing around system constraints rather than ignoring them Building data architectures appropriate for MVP scope and budget Creating test data that reflects real-world data quality challenges Resources Mentioned: Hospital information systems: Epic, Cerner, Meditech ERP platforms: SAP, Oracle, Microsoft Dynamics Canadian procurement: HealthPRO, Mohawk Medbuy Analytics platform: KNIME Series Context: Part 1: AI-Powered Product Design (personas, requirements, wireframes) -    • I Used 3 Different AIs to Design a Healthc...   Part 2: Building the Data Foundation (this video) Part 3: KNIME Analytics Platform Workflow Development (coming soon) Part 4: Dashboard Development & Deployment using KNIME Pro (planned) Connect & Continue Learning: Subscribe for Part 3 where we implement this architecture in KNIME workflows. Share your own data discovery experiences in the comments - what challenges have you encountered when researching enterprise data systems? #DataEngineering #HealthcareAnalytics #KNIME #DataArchitecture #SyntheticData #AICollaboration #DataWrangling #HealthTech #DataScience