# Healthcare AI Training: Hospital Operations, Clinical Decision Support, Imaging Triage and Clinical RAG

> Source: https://sukruyusufkaya.com/en/training/saglik-sektoru-icin-yapay-zeka-egitimi
> Updated: 2026-05-19T21:03:31.733Z
> Level: all
> Topics: Sağlık AI Eğitimi, Healthcare AI Training, Klinik Karar Destek, Clinical Decision Support, Medikal Görüntüleme AI, Medical Imaging AI, Klinik RAG, Clinical RAG, HL7 FHIR, DICOM PACS, Sepsis Erken Uyarı, KVKK Sağlık Verileri, AB AI Act Sağlık, TİTCK CE-MDR AI, HIMSS EMRAM
**TLDR:** Hospital operations, clinical decision support, medical imaging triage and clinical knowledge base RAG — an end-to-end hands-on program tailored to Türkiye's healthcare sector, framed within KVKK, EU AI Act and TİTCK compliance.

## Açıklama

A 2-day hands-on training for hospital, clinic, pharmaceutical and HealthTech teams in Türkiye, covering hospital operations (bed flow, ED, OR, MEDULA), clinical decision support (sepsis early warning, CPOE, drug interactions), medical imaging triage (radiology, digital pathology, oncology) and clinical knowledge base RAG end-to-end — framed within KVKK Health Data Regulation, EU AI Act, TİTCK, HIMSS EMRAM and HL7 FHIR compliance. A program with no comparable peer in scope or regulatory depth for the Türkiye healthcare ecosystem.

## Kazanımlar

- Ability to prioritize AI use-cases in hospital operations (bed management, ED triage, OR scheduling)
- Capability to select, validate and design doctor-in-the-loop integration for CDSS models (sepsis, AKI, early warning)
- Ability to design DICOM/PACS-compatible AI workflows for radiology and pathology triage
- Capability to build RAG architecture for clinical guidelines, SUT and hospital protocols (including HL7 FHIR integration)
- Ability to design AI architecture and documentation framework compliant with KVKK Health Data Regulation, EU AI Act and TİTCK
- Capability to prepare a 90-day healthcare AI pilot roadmap and clinical validation protocol