TRIMEDX names Srilekha Akula as Chief Data and AI Officer to lead AI and RTLS strategy for smarter clinical asset management
TRIMEDX names Srilekha Akula chief data and AI officer to advance AI, analytics, and RTLS for efficient, secure outcomes. Expect stronger assets, safer care, and smarter spend.

TRIMEDX Adds Chief Data and AI Officer to Its C-Suite
September 15, 2025
TRIMEDX has appointed Srilekha Akula as chief data and AI officer to advance its data, artificial intelligence (AI), and real-time location (RTLS) strategy. The role centers on building scalable, secure, and ethical AI-driven solutions that improve operational efficiency and client outcomes across health systems.
Why this hire matters for health system leaders
Akula will guide how TRIMEDX uses data as a strategic asset-linking advanced analytics, AI, and RTLS with measurable business results. Expect a tighter grip on clinical asset performance, safer care delivery, and smarter capital planning.
"Srilekha brings deep expertise in data strategy and AI innovation," said TRIMEDX CEO Neil de Crescenzo. "Her vision and experience will be instrumental in advancing our technology roadmap and unlocking new opportunities to empower health systems with smarter, data-driven decisions."
Who is Srilekha Akula
Akula is a technology executive with 20+ years of experience. She was most recently CTO at Alto and previously held leadership roles at Optum, Amazon, and Google.
Her teams have delivered measurable impact using generative AI, AR/VR with computer vision, and API monetization. She holds a bachelor's degree from Osmania University and completed executive education at MIT Sloan School of Management and the University of Minnesota Carlson School of Management.
What to expect next
- Expansion of TRIMEDX's proprietary data platform to improve analytics speed, accuracy, and scalability.
- New predictive models to optimize device performance, uptime, and lifecycle planning.
- A clear RTLS strategy that strengthens asset visibility, workflow efficiency, and patient safety.
- Stronger governance for AI ethics, data privacy, and secure deployment.
Impact for management teams
- Better utilization of clinical assets and reduced operational expense.
- Sharper capital decisions through predictive maintenance and lifecycle insights.
- Improved safety and protection through intelligent monitoring and medical device cybersecurity.
- Cross-functional alignment-clinical engineering, IT, operations, and finance working from the same data foundation.
Practical next steps for leaders
- Audit current clinical asset data quality, governance, and access controls.
- Prioritize a few high-ROI use cases (e.g., device uptime, spare parts optimization, RTLS-enabled workflows) and define success metrics.
- Establish an AI/RTLS operating model: ownership, policies, validation, and change management.
- Align cybersecurity and compliance reviews early to reduce deployment delays.
About TRIMEDX
TRIMEDX is an independent clinical asset management company delivering clinical engineering services, asset informatics, and medical device cybersecurity. The firm helps providers reduce operational expenses, optimize capital spend, and maximize resources for patient care-leveraging a history of expert clinical engineering and data on 90%-95% of in-use U.S. medical equipment.
Learn more
- NIST AI Risk Management Framework for governance practices.
- HIMSS overview of RTLS for healthcare operations use cases.
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