August 2026 Newsletter - AI-Native vs. AI-Ready: What Every Laboratory Should Know
Why AI Innovation Still Requires Human Accountability
Artificial intelligence is changing laboratory software development, but faster development doesn't automatically mean safer or more reliable software. For a laboratory information system (LIS) responsible for patient data, diagnostic workflows, laboratory billing, interfaces, compliance, and business continuity, proven reliability and accountability remain essential.
This Industry Insights article authored by Suren Avunjian examines the difference between AI-native and AI-ready laboratory software, including the risks of AI-generated code, black-box functionality, and inexperienced vendors. It also explores why LigoLab takes a different approach: embedding AI into a proven LIS software platform while maintaining human engineering oversight, rigorous validation, security controls, and more than 20 years of laboratory experience.
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Healthcare Leaders Are Investing in Laboratories: Here's Why Your LIS Matters More Than Ever
Healthcare executives are increasingly recognizing laboratories as strategic contributors to patient care and organizational performance. Recent survey findings highlighted by Today's Clinical Lab show strong executive interest in expanding laboratory services, improving turnaround times, and investing in diagnostic capabilities. For laboratory leaders, this growing recognition creates a valuable opportunity to secure support for modernization initiatives.
Capitalizing on that opportunity requires more than new instrumentation. As AI, digital pathology, automation, interoperability, and revenue cycle management reshape laboratory operations, a modern laboratory information system becomes increasingly critical. By connecting clinical, operational, and financial workflows within a unified environment, laboratories can improve efficiency, strengthen data integrity, support new technologies, and build a foundation for sustainable growth.
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ADLM 2026 Recap: The Future of Laboratory Information Systems Is Integrated
ADLM 2026 brought thousands of laboratory professionals, pathologists, executives, researchers, and technology innovators together in Anaheim, CA, to explore the future of diagnostics. For LigoLab, the week provided an invaluable opportunity to connect with customers, prospective partners, and industry leaders while discussing the challenges shaping today's laboratories. One message stood out throughout the conference: laboratories continue to search for simpler, more connected ways to manage increasingly complex operations.
To everyone who stopped by the LigoLab booth and shared insights into their laboratory’s goals and challenges, thank you for making ADLM such a rewarding experience. For those we may have missed, now’s a great time to open a conversation because whether you’re evaluating a new laboratory information system, exploring integrated LIS and laboratory billing, planning a digital pathology initiative, adopting AI-powered automation, or working to improve revenue cycle performance, LigoLab is ready to help you take the next step.
