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Automation’s Effects on Healthcare Jobs

Daily EHR & Health IT Brief

Most Important Today

  • ★ Automation’s effects on healthcare jobs by 2030: 7 notes — Giles Bruce (24 Nov 2025) WEF projects 54% of healthcare tasks will be automated by 2030, with only 34% performed by humans—accelerating from roughly a 50/50 split in 2025. The findings come from a survey of leaders at 1,043 companies worldwide.
    Why It Matters: Plan now for workforce redesign, upskilling, and AI governance to protect quality and safety while bending labor cost curves.
  • ★ Lessons from Retail—How Healthcare Can Harness AI with Confidence — Guest Author (24 Nov 2025) Nisum’s Martin Lewit outlines how healthcare can apply retail’s AI playbook: start with high-value use cases, build strong data foundations, and operationalize responsible AI to scale with confidence.
    Why It Matters: Cross‑industry guardrails (data quality, MLOps, governance) de‑risk AI pilots and accelerate ROI in clinical and operational workflows.

EHR Vendor Releases / Sales

  • No new items today.

Hospital Implementations

  • No new items today.

Other Healthcare Technology

  • Imprivata Acquires Verosint to Add AI-Powered Risk Signaling to its Leading Enterprise Access Management Platform — Healthcare IT News (24 Nov 2025) Imprivata is acquiring Verosint to integrate identity threat detection and response, advancing passwordless and risk-based access while promising stronger security and workflow efficiency at scale.
    Why It Matters: Identity‑first security and adaptive access reduce breach risk and clinician login friction—key for compliance and productivity.
  • The top barriers to AI in RCM — Andrew Cass (24 Nov 2025) Black Book’s survey of 149 revenue cycle leaders finds data quality is the top obstacle to AI in RCM, with “garbage in/garbage out” undermining trust, adoption, and impact.
    Why It Matters: Prioritize data governance, standards, and feedback loops before scaling AI in RCM to safeguard revenue integrity and ROI.
  • OutcomesAI Secures $10M Seed Financing Led by Santé Ventures to Scale AI-Enabled Nursing Care — Healthcare IT News (24 Nov 2025) OutcomesAI will combine AI voice agents with licensed nurses to extend nursing capacity, reduce costs, and speed access to care as it expands into health systems and virtual care programs.
    Why It Matters: AI‑augmented nursing can relieve staffing pressure, but requires tight integration, clear clinical protocols, and safety monitoring to deliver value.

Why It Matters — A Healthcare Leader’s Perspective

Today’s themes point to an AI‑enabled operating model: aggressive automation timelines, identity‑centric security to safeguard access, and a reminder that data quality determines AI’s revenue impact. Leaders should align workforce strategy and upskilling with targeted AI pilots, harden identity and access controls, and invest in data governance and MLOps—so AI deployments are safe, interoperable, and financially accretive.