HIS - Healthcare Innovation Show is part of the Informa Markets Division of Informa PLC

Informa
Informa

October 1st and 2nd | From 9 AM to 6 PM

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The Data & Insights Management Stage presents strategic discussions on how to transform data into real value for healthcare organizations. Topics include the monetization of intelligence with security and ethics, data engineering inspired by other sectors, agile BI for uncertain scenarios, and data governance as a foundation for AI adoption. Speakers will share practical cases showing how efficient data management can reduce losses, increase performance, and prepare organizations for more assertive decision-making.

Target Audience:

IT and Data Executives: CIOs, CDOs, CTOs, and technology leaders responsible for data infrastructure and strategy; Business Leaders: CEOs, directors, and managers interested in data monetization and turning insights into business outcomes; Governance Professionals: Experts in data governance, compliance, and information security; BI Analysts and Data Scientists: Technical professionals working with data analysis and interpretation; Digital Transformation Leaders: Those leading innovation initiatives and the implementation of new technologies in healthcare organizations.

Day 01

  • What Can Healthcare Learn from Data Engineering in Other Sectors? – Neosaldina Case
  • What Can Healthcare Learn from Data Engineering in Other Sectors? – Serasa Case
  • What Can Healthcare Learn from Data Engineering in Other Sectors? – Panel Discussion
  • Show Me the Money: The Role of IT in Financial Efficiency of Institutions and ROI Monitoring
  • Modernization Starts at the Base – Flexible and Scalable Infrastructure for Continuous Innovation
  • Everyone Wants AI in Healthcare, But Who Is Ready for Real Implementations?

 

Day 02

  • AI Agents in Healthcare Institutions' Backoffice: Challenges and Opportunities – Panel Discussion
  • How to Empower Non-Technical Professionals in Healthcare Technology
  • When AI Synthesizes and the Doctor Decides, Intelligent Clinical Agents Come to Life
  • Where to Invest in AI? Criteria to Define the Best Use Case