Digital Solutions, AI and Robotics in Preanalytics
Hank Ruven reveals:
- Release Date: 03.02.2025
- Duration: 47 minutes
- Guest: Clinical Chemist Henk Ruven
- Host: Director Global Medical & Clinical Affairs Ana-Maria Šimundić
- Introduction: Henk Ruven, clinical chemist at St. Antonius Hospital, Netherlands and our host Ana-Maria Šimundić discuss the role of digital solutions, AI and automation in the field of preanalytics.
Timestamps for Episode 1
- 01:17 - Role of digital solutions in preanalytics – patient identification & tube labeling
- 06:27 - Documentation of blood collection time & ISO requirements
- 11:58 - Digital workflow at the St. Antonius Hospital with COWS
- 12:47 - Sample transport monitoring
- 19:24 - Artificial intelligence, prediction modeling
- 24:36 - AI in preanalytics – demand management for clinical tests
- 27:03 - Barriers for AI implementation
- 32:20 - Automation in preanalytics
- 32:52 - Blood collection robots at the St. Antonius Hospital
- 39:55 - Future outlook: disruptive digital and automated solutions in preanalytics: sensors, non-invasive testing and lifestyle preventive medicine
What You Can't Miss – In a Nutshell
Digitalized workflows bring vital benefits to preanalytics
- Key benefits are reduced error frequency, improved patient identification, transport monitoring and increased sample integrity. AI support programs will become a necessity to maintain quality in healthcare, with an increasing number of people using healthcare systems.
Acceptance of robots in blood collection
- The integration of robots for venous blood collection in some wards has sparked interest, with patient acceptance being a key factor discussed by Henk Ruven.
AI will be accepted, if it gives you convenience
- Despite privacy concerns, which need to be addressed, AI supported decision making will be accepted if it brings convenience to users and patients, such as fewer recalls for further lab tests.
“In laboratory medicine we always talk about measurement uncertainty and the best test and everything, but we have to look at the value of a lab test in the whole clinical, medical path of a patient. And I'm convinced that lab testing is very valuable. It's even more valuable than we think. So AI algorithms have to be made of each patient group, every patient journey, and lab medicine has a place in such a journey.”
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Chapter 7.2.4.4 — Instructions for collection activities
Point e) states: documenting the identity of the individual collecting the primary sample, the collection date, and, when applicable, noting the collection time.
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