Full-Time
Posted on 11/23/2025
Clinical asset management and device cybersecurity
No salary listed
Company Does Not Provide H1B Sponsorship
Norfolk, VA, USA
In Person
TRIMEDX provides clinical asset management solutions for healthcare providers to optimize the performance, safety, and compliance of medical devices. It offers services across clinical engineering, asset informatics, and cybersecurity, supported by a proprietary workflow platform. This platform combines device inventory management with analytics and prescriptive guidance to tell users exactly what actions to take, helping hospitals run more efficiently and reduce costs. What sets TRIMEDX apart is its end-to-end approach that blends hands-on engineering services with data-driven insights and cybersecurity, addressing challenges like technician shortages and rising threats to medical device security. The company’s goal is to improve hospital operating margins and patient care quality by ensuring devices are safe, compliant, and readily available.
Company Size
1,001-5,000
Company Stage
Debt Financing
Total Funding
$200K
Headquarters
Indianapolis, Indiana
Founded
1998
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'AI should blend in' and four more lessons for HTM pros dealing with AI. Mar 27, 2026 TRIMEDX Chief Data & AI Officer Srilekha Akula discussed the impact of AI on healthcare technology management (HTM) at the 2026 Healthcare Information and Management Systems Society (HIMSS) global health conference and exhibition. AAMI News recently wrote an article about Srilekha's presentation, detailing five principles for successfully implementing AI in health systems. What does it take to maximize the impact of AI in HTM and deliver real results to HTM professionals and patients alike? At HIMSS 2026, TRIMEDX Chief Data & AI Officer Srilekha Akula discussed TRIMEDX's path to successfully integrating AI into its clinical asset management business. Today, the health system faces a sector-wide transformation, with research from the Harvard School of Public Health indicating that AI could lead to a dramatic reduction in treatment costs and improvements in health outcomes. For a country like the United States, which lags behind its peers in health care outcomes and ROI, this is good news. Akula said that TRIMEDX has met the moment with three core tenets: First, innovate with intention. Second, maintain a client-centered approach. Third, balance speed with patient impact. "'Move fast, break things' does not work" when patients are involved. Five principles for successful implementation According to Akula, "data matters more than algorithms." The TRIMEDX view is that, as foundational models improve, there is no need to build an in-house model. Also, given that the health sector is subject to serious risk and regulation, this creates the need for "extreme accuracy, reliability, and trust." Akula said, "Focus on your data, get your data right." Second, AI should meet your data where it lives. Distance and data manipulation both degrade the output quality of a given AI model. Instead, running application logic as close as possible to the source data maintains clinical context, improves accuracy, enables effective automation, and builds end-user trust. This also reduces the deterioration of inference. Third, AI may reveal unexpected value. Using a large, longitudinal data set strengthens model reasoning and can allow an organization to generate an idea of what 'good looks like.' Some interesting findings TRIMEDX has made during its AI implementation include that OR inefficiency is driven more by device readiness issues than by scheduling difficulties. Fourth, "AI should blend in, not stand out." Artificial intelligence should fit into existing flows, for her, and also for customers. Ideally, it should be built into the workflows and tools that already exist, and "improve outcomes not just dashboards." Finally, culture will determine AI success. According to Akula, "Without culture, things are not going to move." To successfully implement AI, you will need to "Meet your technical teams where they are", involve experts and your vendors, and tap into your super-users while planning for detractors. Navigating implementation pitfalls According to Akula, AI's potential to improve BMET productivity is a boon amid an aging workforce and a wave of retirements. AI also has the potential to drive cost savings and revenue generation from a given HTM department using advanced data analytics. She also sees potential in reducing cybersecurity risks through intelligent threat detection and in preventing device failures before they occur. How should organizations measure success? Operational gains, adoption and satisfaction, patient care impact, financial improvements, and data quality and effectiveness are all good metrics to adopt. Challenges remain, including cost, data quality and availability, and stakeholder misalignment, but to date, TRIMEDX has enjoyed significant success in utilizing 20 years of longitudinal data on more than 6.1 million medical devices. The future for AI in HTM is bright, and successful implementation can improve capital planning, help predict downtime, and speed up supply chain processes across the entire field.
TRIMEDX has expanded its AI-native clinical asset intelligence platform, TRIMEDX-AIQ, with automated supply chain capabilities including parts ordering, purchase order automation and predictive failure forecasting. The system aims to prevent equipment downtime before disruptions occur. The platform utilises data from over 6.1 million device records spanning 25 years, covering 90-95% of active US medical equipment. Its patent-pending Predictive Work System identifies equipment degradation patterns early, enabling proactive maintenance scheduling. The enhanced system automatically identifies required components for predicted failures, selects suppliers and secures procurement before devices go offline. CEO Neil de Crescenzo said the platform leverages relationships with original equipment manufacturers and third-party suppliers to accelerate parts access. The company serves healthcare providers with clinical engineering services and medical device cybersecurity solutions.
TRIMEDX launches TRIMEDX-AIQ(TM), an AI-native clinical asset intelligence offering built on the industry's most extensive repository of medical device data. TRIMEDX-AIQ delivers unmatched visibility, predictive intelligence, and supply chain automation - enabling 10-20% clinical engineering savings, 25-35% capital expense avoidance and deferral, and up to 99% equipment uptime. December 15, 2025 10:00 ET | Source: TRIMEDX Indianapolis, Indiana, Dec. 15, 2025 (GLOBE NEWSWIRE) - TRIMEDX today announced the launch of TRIMEDX-AIQ(TM), a breakthrough AI intelligence offering that sets a new standard for clinical asset optimization. Purpose-built for health systems, TRIMEDX-AIQ combines the largest and most comprehensive data set in the healthcare technology management (HTM) industry with next-generation AI capabilities to deliver real-time visibility, predictive maintenance intelligence, and supply chain automation - all within a single unified offering. With more than 6.1 million device records, 25+ years of longitudinal insight, and visibility into 90-95% of all active U.S. medical equipment, TRIMEDX has built the industry's most powerful dataset - refined and AI-ready in ways that cannot be replicated. This scale, combined with over $200 million in recent technology advancements and a national workforce of 3,400 clinical engineering experts, positions TRIMEDX as the only organization capable of delivering an AI offering of this magnitude and insight. This foundation fuels TRIMEDX-AIQ, the only enterprise AI offering that unifies visibility, prediction, security, and automation to reduce operational waste, improve medical device uptime, and unlock significant cost savings for health systems. Across the country, health systems face a critical opportunity to unlock significant operational, financial, and performance gains by tackling longstanding barriers: device inventory records that can be inaccurate by up to 40%, equipment failures that disrupt patient care, rising rental & replacement costs, and supply chain inefficiencies that delay critical repairs. Fragmented data, manual workflows, and operational blind spots limit visibility and keep teams reacting to problems after they occur. Existing tools - ranging from CMMS platforms to episodic inventory audits and spreadsheet-driven planning - simply do not provide the predictive intelligence or unified visibility required to solve these issues at scale. When these barriers are eliminated, the opportunity is transformative: 10-20% reductions in clinical engineering costs, 25-35% capital expense avoidance and deferral, and equipment uptime reaching 99%. Without that shift, the result is millions of dollars in unnecessary spending and thousands of hours lost to avoidable downtime every year. TRIMEDX-AIQ seizes this opportunity by unifying clinical asset visibility, predictive intelligence, and supply chain automation into a single AI-native offering built specifically for the needs of health systems. Rather than relying on disconnected tools and manual updates, TRIMEDX-AIQ provides continuous, automated visibility into the health system's entire device ecosystem - delivering accurate, real-time asset inventories and resolving the inaccuracies that can reach up to 40% in many health systems today. This enhanced visibility reduces rental overspend, strengthens cybersecurity by identifying unknown devices, and improves capital planning & budgeting by giving leaders a true picture of what they own and how it's being used. "Health systems are facing unprecedented operational pressure, from rising costs to staffing shortages," says TRIMEDX CEO Neil de Crescenzo. "TRIMEDX-AIQ gives leaders the visibility, predictability, and automation they need to run a more resilient, cost-effective operation at scale. It represents the future of clinical asset management, powered by AI and built for the realities of modern health care." TRIMEDX-AIQ applies predictive intelligence to maintenance and repair workflows, equipping clinical engineers with the insights they need to prevent failures before they happen, accelerate turnaround time, and work more efficiently. Using TRIMEDX's multi-vendor dataset in combination with health system data, TRIMEDX-AIQ anticipates likely failures, automates preparation steps such as preventative maintenance kits & parts ordering, and synthesizes task lists using generative AI. The result is improved uptime, faster repairs, and a more resilient workforce. The offering further strengthens operational resilience by automating supply chain steps that frequently create bottlenecks. By integrating predictive maintenance insights, asset condition data, and repair workflows, TRIMEDX-AIQ ensures that parts and resources are aligned precisely when needed. This reduces delays, speeds up repair cycles, and unlocks measurable savings. Health systems interested in implementing TRIMEDX-AIQ will begin with a complimentary Current State Assessment and inventory baseline review. To learn more, visit trimedx.com/aiq or contact [email protected]. About TRIMEDX TRIMEDX is an industry-leading, independent clinical asset management company delivering comprehensive clinical engineering services, clinical asset informatics, and medical device cybersecurity. Govcloudnetwork help healthcare providers transform their clinical assets into strategic tools, driving reductions in operational expenses, optimizing clinical asset capital spend, maximizing resources for safe patient care, and delivering improved safety & protection. TRIMEDX was built by providers, for providers, and leverages a history of expert clinical engineering with data on 90-95% of in-use medical equipment in the United States.
Joining TRIMEDX is Chief Data & AI Officer Srilekha Akula, whose leadership will help define and deliver a forward-looking data, artificial intelligence (AI), and real-time location (RTLS) strategy for the organization.
In addition, TRIMEDX received Best in Class recognition for Leadership, one of only eight organizations to earn this distinction.