Hospital mergers & EHR data governance

Hugh Bowie, Franklin University

Track

Track 1: Technology, Data & Institutional Transformation

Publication Date (MM-DD-YYYY)

3-7-2026

Start Date (MM-DD-YYYY)

3-7-2026 10:30 AM

End Date (MM-DD-YYYY)

3-7-2026 11:00 AM

Presentation Type

Presentation

Description

Drawing on experience from large-scale bank mergers, where hundreds of thousands of legal and financial documents must be systematically reviewed and rebranded, this paper examines parallels and contrasts with hospital mergers—particularly the migration of enterprise data into unified production systems. While securities firm acquisitions treat transactional records as commercial assets governed by contract law and securities regulation, hospital acquisitions involve the transfer of custodianship, not ownership, of electronic health records (EHRs) containing protected health information (PHI). Unlike financial data, healthcare data are subject to patient-centric privacy frameworks that strictly limit permissible use, reuse, and secondary analytics. This distinction complicates data integration, governance, and innovation following hospital mergers or spin-offs. The paper explores how legal, ethical, and regulatory constraints shape EHR consolidation and raises a critical question: whether and how artificial intelligence could assist in document migration and data harmonization during hospital mergers while maintaining compliance, patient trust, and data integrity.

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Mar 7th, 10:30 AM Mar 7th, 11:00 AM

Hospital mergers & EHR data governance

Drawing on experience from large-scale bank mergers, where hundreds of thousands of legal and financial documents must be systematically reviewed and rebranded, this paper examines parallels and contrasts with hospital mergers—particularly the migration of enterprise data into unified production systems. While securities firm acquisitions treat transactional records as commercial assets governed by contract law and securities regulation, hospital acquisitions involve the transfer of custodianship, not ownership, of electronic health records (EHRs) containing protected health information (PHI). Unlike financial data, healthcare data are subject to patient-centric privacy frameworks that strictly limit permissible use, reuse, and secondary analytics. This distinction complicates data integration, governance, and innovation following hospital mergers or spin-offs. The paper explores how legal, ethical, and regulatory constraints shape EHR consolidation and raises a critical question: whether and how artificial intelligence could assist in document migration and data harmonization during hospital mergers while maintaining compliance, patient trust, and data integrity.