Pooja Mishra Shows How Informatics Makes AI Tumor Board Summaries Useful

Opening HealthDataCon’s EMEA region, Pooja Mishra described how workflow design, source traceability and shared accountability helped Stanford bring AI chart summaries into thoracic tumor-board preparation.

Mohamed Ghaleb Connects Clinical Governance From the Boardroom to the Bedside

At HealthDataCon 2026, physician Mohamed Ghaleb explained how clinical governance can connect bedside concerns, reliable data and executive decisions—and how leaders should verify that action improves care.

Amit Bajpai and Mithun Vakharia Bring Four Dimensions to Hospital Data Audits

At HealthDataCon 2026, Amit Bajpai and Mithun Vakharia outlined a practical approach to auditing hospital data, showing why connected systems and high pass rates still require closer examination before AI adoption.

Fatema Ravatwala and Julia Rehman Put Readiness Before Healthcare AI Adoption

At HealthDataCon 2026, Fatema Ravatwala and Julia Rehman outlined how data quality, named accountability and local validation can help health systems establish readiness before adopting clinical AI.

Pooja Mishra Follows the Cells to Redesign Cellular Therapy Workflows

At HealthDataCon 2026, Pooja Mishra described how following the cell journey helps teams redesign workflows, strengthen safety checks and build shared governance as cellular therapy programs grow.

Bogdan Rau Explains Why Analytics Agents Must Earn Trust Beyond Accuracy

At HealthDataCon 2026, Bogdan Rau explained why correct calculations can still mislead decision-makers and outlined how context, useful evidence and meaningful human oversight help analytics agents earn trust.

Adam Cherrington Outlines Four Conditions for Patient Trust in the AI Era

At HealthDataCon 2026, Adam Cherrington connected information, response, access and relationships in a framework for building patient trust when AI-generated answers enter the clinical conversation.

Iurii Iurchenko Puts Data Quality First in Healthcare AI Agents

At HealthDataCon 2026, Iurii Iurchenko showed how curated data, clear instructions, access controls and testing shape reliable AI data agents, using a public FDA recall project to illustrate the risks.

Global Healthcare AI Needs Local Nursing Intelligence, Curtis and Riley Say

At HealthDataCon 2026, Sonya Curtis and Vanessa S. Riley explained why healthcare AI must fit local patients, resources and cultures, and why nurses need a formal role in its design and oversight.

Chris Jones Calls for Patient and Family Voice in Health Data

At HealthDataCon 2026, Chris Jones drew on his family’s experiences to show how patient priorities, caregiver observations and a reliable response process can become part of everyday healthcare decisions.

Karen Niven Applies Apollo 13 Leadership Lessons to Healthcare Value Analysis

At HealthDataCon 2026, Karen Niven applied Apollo 13 leadership lessons to healthcare value analysis, emphasizing patient outcomes, clinical readiness, shared decisions and learning from supply disruptions.

Meltem Singh Offers Four Tests for Moving Healthcare AI Beyond Pilots

At HealthDataCon 2026, Meltem Singh outlined four dimensions for evaluating AI initiatives, linking decisions to scale with organizational value, adoption, implementation complexity and risk.