Automation and analytics in the clinical laboratory
Automation plays a crucial role in clinical laboratories by enhancing efficiency, accuracy, and reliability in diagnostic testing. In addition, AI is revolutionizing the way vast amounts of clinical laboratory data is analyzed and utilized. MLO’s newest e-handbook provides laboratorians the latest information on laboratory information systems, AIs role in clinical decision support, how digital solutions are improving operational performance, and more.
Some articles featured in the e-book, “Automation and analytics in the clinical laboratory,” include the following:
Precision partners: AI in diagnostic labs for clinical decision support
Clinical decision support (CDS) systems can streamline the diagnostic process by assessing the appropriateness of ordered tests, identifying critical values, and minimizing treatment delays through automated decision-making support for clinicians. Although AI-driven CDS systems are still in their early stages, the potential exists to significantly transform diagnostics and enhance patient care.
Dedicated laboratory automation for hemostasis testing
Laboratories are tasked with the combined aim of maximizing test volume and reliability, while minimizing turnaround time and cost. Automation is an essential tool to meet the challenges of rising labor costs and a shrinking laboratory professional work force. Although hemostasis testing accounts for approximately 20% of the total test volume in many laboratories, it represents a significant opportunity for improved efficiency.
State of the LIS market
Recent technological advancements like artificial intelligence (AI) and machine learning, ever-increasing threats of cyberattacks, and rising demand for cloud-based solutions have all affected the LIS market. Medical Laboratory Observer (MLO) interviewed five LIS experts to better understand the current trends and challenges they’ve observed in the LIS market this year.
Sponsored by: bioMérieux, LabSavvy, Qiagen