Rudy Lai

AI @ HCA Healthcare

Largest hospital system
Industry
Last updated
July 3, 2025 at 10:44 AM

Summary

  • HCA Healthcare has progressively expanded its deployment of generative AI technologies across its network of 180+ hospitals from 2023 through 2025, focusing on improving clinical workflows, documentation, patient safety, and operational management.
  • Key leadership including Dr. Michael Schlosser (SVP Care Transformation and Innovation) and Sam Hazen have publicly articulated visions and strategies for AI to enable clinicians, reduce administrative burden, and enhance patient safety, with collaborations such as the partnership with Google Cloud to pilot and scale AI tools starting with emergency rooms and nurse handoffs.
  • By late 2025, HCA's AI initiatives matured into integrated clinical decision support and patient safety systems that actively reduce risks, improve care quality, and optimize staffing, with a robust AI ethics framework implemented to ensure responsible use.

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4 AI Use Cases at HCA Healthcare

Patient Safety
2025
Traditional
Generative
Agentic
Outcome
Risk
HCA deploys AI-driven tools such as fetal heart rate monitoring, medication error detection with wearable cameras, and stroke detection platforms to proactively identify and mitigate patient risks, enhancing overall care quality. [1][2][3]
Operational Management
2024
Traditional
Generative
Agentic
Outcome
Costs
Using AI to predict patient volumes and optimize nurse staffing levels, HCA improves operational efficiency and ensures adequate coverage matching demand throughout their hospital network. [1][2]
Clinical Notes
2024
Traditional
Generative
Agentic
Outcome
Costs
By piloting ambient AI platforms that are EHR-agnostic, HCA aims to seamlessly integrate AI-generated clinical notes into multiple specialty workflows, reducing clinician burnout and improving documentation accuracy. [1]
Clinical Documentation
2024
Traditional
Generative
Agentic
Outcome
Costs
HCA uses AI to automatically extract and generate medical notes from physician-patient interactions and nurse handoffs, reducing administrative burdens and allowing clinicians more time for patient care. [1][2][3]

Timeline

2025 Q4

1 updates

HCA’s AI strategy focused on redefining patient safety by integrating AI as a core enabler to accelerate risk reduction and health outcomes improvement, while also optimizing staffing levels through predictive modeling. Emphasis remained on responsible AI use and ethics.

2025 Q3

2 updates

HCA pilots nurse-approved generative AI tools improving nurse handoffs and clinical safety protocols, including AI-assisted fetal heart rate monitoring and LVO stroke detection with Viz.ai. Leadership emphasized AI-driven patient safety evolution and operational efficiencies.

2025 Q2: no updates

2025 Q1: no updates

2024 Q4

2 updates

HCA expanded AI adoption with multi-specialty, EHR-agnostic ambient AI platforms co-developed with vendor Commure; public executives Sam Hazen and others shared insights on AI’s transformative impact; studies demonstrated AI-enabled wearable cameras improving medication safety.

2024 Q3

1 updates

HCA formalized its internal governance framework for responsible generative AI use, emphasizing safety and ethics in AI-assisted clinical operations, supporting scaled deployment across its system.

2024 Q2

1 updates

HCA announced plans for broader rollout of AI tools automating clinical documentation in emergency rooms across its 184 hospitals, leveraging digital transformation and generative AI to improve care delivery and physician workflows.

2024 Q1

1 updates

HCA expanded AI pilot programs to aid nursing handoff documentation at select hospitals with Google’s generative AI, aiming to enhance information exchange and reduce documentation time. Dr. Michael Schlosser publicly shared AI integration visions for clinician support.

2023 Q4: no updates

2023 Q3

2 updates

HCA began deploying generative AI at scale, announcing a major partnership with Google Cloud to improve clinical workflows and reduce administrative burdens. Pilots equipped 75 ER physicians across four hospitals with AI technology focused on automating medical note documentation.