Dear Lab Professional:

The editors at MLO plan to produce a report, part of an ongoing State of the Industry series, on Clinical Data Analytics.

Please take a few minutes to complete our survey. It is designed to be quick and easy. We plan to publish these survey results in the MLO March 2026 issue.

Please note that since we have selected only a limited number of readers to take the survey, your reply is vital. All responses will remain anonymous.


Thank you in advance for your participation.

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* 1. What is your job function?

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* 2. Which lab facility best describes where you work?

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* 3. How many employees work at your lab?

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* 4. Are interoperability and data integration issues with your laboratory information systems (LIS) or electronic health records a stumbling block to implementing electronic processes at your lab?

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* 5. What type of laboratory information system (LIS) do you have?

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* 6. What type of LIS infrastructure does your lab have?

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* 7. Which of the following laboratory functions are fully or partially electronic in your organization (through your LIS, HIS, or other integrated system)?
(Check all that apply)

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* 8. What is the top strategic IT priority for your organization in the next three years?

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* 9. Where would AI be most beneficial in your lab?

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* 10. Have you begun implementing (or actively considering implementing) AI or machine learning tools in your laboratory operations or data analytics?

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* 11. Is your health system or IT leadership discussing AI on a system level; are you going to rely on your hospital IT to manage and support AI, or will this be an independent laboratory choice to implement AI?

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* 12. What operational performance indicators does your lab measure (check all that apply)?

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* 13. Have you begun using analytics to support lab operation and management?

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* 14. If you are using analytics, how often is the data used for analytics refreshed?

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* 15. What type of data analytics tool does your lab use?

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* 16. What are your primary challenges in managing laboratory data quality?
(Check all that apply)

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* 17. What are your primary challenges in managing laboratory data security?
(Check all that apply)

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* 18. Does your organization allow Cloud SaaS laboratory solutions?

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* 19. Do you require all vendors to complete an IT risk assessment?

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* 20. Do you have dedicated cybersecurity resources (e.g., governance committee, Architectural Review Board (ARB) review, etc.)?

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* 21. Does your lab integrate internal analytics with external data sources (e.g., population health, payer, or public health data, laboratory peer review data)?

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* 22. What data visualization or dashboard tools does your lab use for reporting and decision-making?
(Check all that apply)

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* 23. What type of management forecasting does your lab do? (Check all that apply)

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* 24. Does your lab use an electronic tool for management forecasting?

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* 25. Which of the following describes the challenges your organization currently faces or will face in the next two years? (Rank the following with 1 being most challenging)

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* 26. Does your lab use benchmarking data (internal or external) to compare performance indicators?

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* 27. Is your lab tracking the number of tests performed for any of the following (check all that apply)?

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* 28. What is the annual volume of testing performed at your lab?

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* 29. Would you be willing to participate in a brief interview for the March 2026 article with an editor at MLO on the topic of data analytics? If so, please provide your name, title, organization, email address, and phone number.

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