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Discover how HCA Healthcare scales artificial intelligence across the enterprise to enhance patient care and improve operational efficiency.
Michael Schlosser, MD, MBA, is HCA Healthcare's Senior Vice President and Chief Transformation Officer. He spearheads enterprise-wide digital transformation and innovation, focusing on designing, developing, integrating, and optimizing technologies and processes to enhance clinical, administrative, and operational performance. His role includes overseeing electronic health record systems, leading AI and machine learning teams, and managing the Responsible AI program, aiming to improve experiences and outcomes for staff and patients.
Hospitals face increasing pressure to improve patient care amidst workforce strain and rising costs, challenges AI can address. Despite growing interest, only 13% of healthcare systems have a clear AI integration strategy. HCA Healthcare has adopted a comprehensive AI strategy with robust governance, emphasizing co-design with clinicians, rigorous impact validation, and change management to ensure safe and effective adoption. The article highlights four early initiatives across clinical, operational, and administrative functions, demonstrating how AI can enhance patient experience, support caregivers, and improve operational performance, such as cutting nurse scheduling time significantly.
For most health systems, the focus has shifted from whether to invest in AI to where to begin. AI promises to solve critical issues across clinical, operational, and administrative functions, improving patient care, caregiver morale, and efficiency. Despite enthusiasm, a clear organizational strategy for AI integration is often lacking. HCA Healthcare's AI strategy prioritizes functions with strategic enterprise-wide impact, balancing ambitious goals with measurable value and responsible AI practices, complemented by a strong commitment to change management and clinician partnership.
HCA Healthcare, a leading healthcare provider with 189 hospitals and over 300,000 employees, leverages vast data to transform care. Its AI journey began in 2021 with the Care Transformation and Innovation (CT&I) department, collaborating with external tech partners like Google and Palantir. 'Innovation hubs' and a 'humans in the loop' approach fostered safe testing. AI is now central to HCA's growth strategy, led by the 755-member Digital Transformation and Innovation (DT&I) department. They employ a portfolio approach, similar to financial management, to mitigate risk and achieve transformative outcomes by deploying scalable AI solutions across various functions.
HCA Healthcare identifies and prioritizes AI deployment opportunities across administrative, operational, and clinical domains. Decisions are made collaboratively, led by domain experts, to focus on solving user problems with solutions that resonate with end-users. A Quarterly Business Review (QBR) process ensures agility and resource alignment with strategic priorities. The current portfolio includes six major AI initiatives: Nurse Handoffs, Digital Labor Management (Timpani), Ambient Clinical Documentation, Maternal–Fetal Care, Intelligent Inventory Management, and Hospital Throughput. Investment impact is measured by hours/dollars saved, patient safety improvements, or caregiver morale, weighed against implementation costs.
Communication failures during nurse shift changes contribute significantly to preventable hospital errors. HCA Healthcare, in partnership with Google Cloud, developed 'Nurse Handoff,' a generative AI tool to streamline and standardize this process. It integrates with the EHR to generate concise, context-aware patient summaries on nurses' iPhones, enabling real-time review and editing during shift transitions. Beta testing at eight hospitals showed 97% accuracy and 95% helpfulness, reducing preparation time and improving communication confidence. A human-centered change management strategy, involving nurses throughout development, was crucial for its successful adoption and the aim to scale it across all 100,000 nurses.
Nurse scheduling is a complex and time-consuming operational challenge, often taking 8-15 hours per department monthly. HCA Healthcare's 'Timpani' platform, an AI-powered staffing and scheduling solution, is now live in over 130 hospitals, supporting 1,200+ nursing departments. It reduces scheduling time to 2-3 hours per cycle by generating optimized initial schedules that align staff availability, skill levels, and unit requirements, minimizing last-minute changes and reliance on costly contract labor. Robust change management, including current-state assessments and engaging staff through innovative methods, was vital for its success. Timpani has led to a 6% decline in turnover and ensured balanced skill levels across shifts.
Addressing the poor maternal outcomes in the United States, HCA Healthcare partnered with GE HealthCare to develop a clinical AI platform for maternal–fetal care. This platform integrates data from multiple sources like fetal monitoring strips, maternal contraction data, lab results, and obstetric history into a single interface for nurses and physicians. This unified view reduces the need to toggle between systems, offering care teams a shared, real-time understanding of the patient's condition. Labor and delivery was chosen as the initial use case due to its controlled environment, with initial piloting announced in October 2025 and advanced features pending FDA approval in 2026. Clinicians also manually annotated over 1,000 fetal monitoring strips to train the AI model effectively.
Physician burden from EHR documentation, where nearly two hours are spent on tasks for every hour of direct patient care, leads to low physician satisfaction and impacts patient relationships. HCA Healthcare is piloting ambient clinical documentation tools in Texas to alleviate this. These AI systems listen to physician–patient conversations, transcribe them, and create draft clinical notes. Physicians then review, edit, and sign these drafts within the EHR, serving as the 'human in the loop.' This automation frees physicians from extensive typing or dictating, restoring time for patient care. Success hinges on effective change management, emphasizing training, peer-to-peer sharing, and physician accountability for note accuracy.
HCA Healthcare outlines a framework for operationalizing AI, structured into three parts. 'Structure: Foundations' focuses on establishing enabling conditions, including a compelling vision, robust data and technical infrastructure, organizational and human capacity (multidisciplinary governance, clinician champions), and regulatory/ethical alignment (HIPAA, FDA, transparency). 'Process: Design, Integration and Change Management' covers AI development and implementation, emphasizing co-design with end-users, rigorous model validation, comprehensive change management, seamless workflow integration, and continuous safety monitoring. Finally, 'Outcomes: Measuring What Matters' defines clear objectives and key results across clinical (accuracy, safety), operational (burden reduction, efficiency), human/cultural (trust, satisfaction), and economic (ROI, cost savings) outcomes.
HCA Healthcare's portfolio-based AI strategy demonstrates how disciplined prioritization, strong clinician partnership, and robust governance effectively translate emerging technology into significant, scalable impact. The initiatives presented illustrate value creation beyond financial returns, encompassing improved safety, enhanced workforce experience, and greater operational resilience. For healthcare systems navigating the complex AI landscape, a structured strategy grounded in achieving measurable outcomes, fostering trust, and employing effective change management is crucial for sustainable transformation and advancing care delivery responsibly.