Podcast
Episode 62: Turning results into answers
Duration: 25 Minutes
Oct 28, 2026
Healthcare environments produce previously unfathomable volumes of data. Yet this data is meaningless if it’s not structured in a way to facilitate decision-making.
The latest episode of QuidelOrtho Science Bytes tackles these challenges, examining what it really takes to make data meaningful – and what’s needed to make AI reliable in a high-stakes lab environment.
Host Josh Casey talks one-on-one with QuidelOrtho's Vice President of Software Engineering for Global Informatics Platforms, Rodney Guzman, about how connecting instruments, informatics and AI transforms data into meaningful answers.
This episode explores key steps to leveraging today’s powerful technologies for transforming data into decisions.
Disclaimers:
This educational podcast activity is brought to you by QuidelOrtho Corporation., and is not certified for continuing medical education. QuidelOrtho Corporation sponsors the program, and the speaker must present information following applicable FDA requirements.
About our Speaker:
About our Speaker:
Rodney Guzman
Vice President of Software Engineering for Global Informatics Platforms
QuidelOrtho
Rodney leads software engineering for QuidelOrtho’s Informatics solutions, connecting devices, cloud technologies, and data to advance diagnostics at a global scale.
His focus is on modernizing software development within FDA-regulated environments by strengthening internal engineering capabilities, advancing AI-assisted workflows, and delivering secure, connected platforms. Rodney collaborates across R&D, IT, regulatory, and business leadership teams to align technology strategy with clinical and market needs, accelerate innovation, and unlock new value for customers and patients.
Rodney leads software engineering for QuidelOrtho’s Informatics solutions, connecting devices, cloud technologies, and data to advance diagnostics at a global scale.
His focus is on modernizing software development within FDA-regulated environments by strengthening internal engineering capabilities, advancing AI-assisted workflows, and delivering secure, connected platforms. Rodney collaborates across R&D, IT, regulatory, and business leadership teams to align technology strategy with clinical and market needs, accelerate innovation, and unlock new value for customers and patients.
Key Takeaways:
- Amid workforce shortages and increasing complexity, lab professionals must prioritize efficiencies
- AI has great potential to optimize lab operations; But none of this is possible without making the underlying data standardized, reliable and traceable
- Labs are using informatics to consolidate, organize and present data sets consistently and accurately; Doing so sets them up to make the most of AI innovations to gain clinical insights
- In any lab setting, AI augments clinical experts, and lab professionals are ultimately responsible for interpreting results and making final decisions
