Digital Lab
What are Digital Labs?
Digital labs are essential for staying ahead in tech advancements. They offer automated access to devices and browsers for web and mobile app development, emphasizing user interface and digital skills. These labs drive efficiency and innovation by providing scalable cloud storage, smart asset monitoring, and remote work capabilities, transforming the digital economy and laboratory operations.
What are the business benefits of Digital Lab
Throughput
Leveraging connected, automated, and intelligence-infused processes for accelerated sample throughput, reducing bottlenecks and enhancing lab productivity.
Efficiency
AI-enhanced solutions streamline staff training, minimize errors, and enhance result accuracy, reducing repeat testing and improving overall efficiency.
Connectedness
Integrations with Agilent and third-party instruments enable remote access, eliminating data access delays, manual data entry, and facilitating scalable operations.
Quality
Workflow orchestration and lab automation enhance yield, throughput, security, and data integrity, ensuring highly reliable results.
Reliability
Agilent solutions flag errors, saving time and reducing the need for repeated manual reviews or managerial involvement.
Sustainability
Automated processes and scalable operations reduce sample volumes and repetitions, promoting sustainable workflows in terms of cost and staffing.
Collaboration
Digital labs enable instant data accessibility, fostering seamless collaboration among authorized personnel, regardless of their location.
Compliance
Digital labs efficiently manage large data volumes, ensuring rapid access to relevant data for each sample, and facilitating swift responses and compliance with regulatory standards.
Visualization
Utilizing augmented reality/virtual reality (AR/VR) technologies, digital labs offer 3D visualizations, enabling collaborative data analysis and visualization.
Innovation
Streamlined workflows enable scientists to dedicate more time to data analysis, visualization, and insights, amplifying innovation and overall productivity.
Persistent’s approach:
Digital Lab
The escalating need for digital laboratories is becoming more pronounced by the day to keep pace with advances in the medical and analytical worlds. Digital transformation helps laboratories become new age digital innovation hubs, creating and marketing products with greater velocity and veracity. Persistent has 25 years of core product development expertise in analytical, molecular, lab instruments and medical devices, building end-to-end solutions like instrument connectivity, data acquisition, analysis, analytics and visualization in chromatography, spectrometry, genomics, liquid handlers and other instrument categories.
More on Digital Lab
Digital labs utilize connected, automated, and intelligence-infused processes to expedite sample throughput, reduce hands-on time, and alleviate bottlenecks, ultimately leading to enhanced lab productivity and faster delivery of results.
AI-enhanced solutions in digital labs train staff, guide workflows, minimize errors, and optimize result accuracy. AI contributes to efficiency by reducing the need for repeat testing and enhancing overall quality of healthcare processes.
Digital labs enable enhanced collaboration by allowing instant and remote access to data for authorized personnel and managers. This fosters stronger collaboration among healthcare peers in multiple locations, improving the efficiency and effectiveness of healthcare operations.
Digital labs efficiently manage large volumes of data, provide quick access to relevant information for each sample, and facilitate swift responses and compliance with regulatory standards, thereby reducing the risk of non-compliance and saving time.
Through automation and scalable processes, digital labs reduce sample volumes, streamline operations, and minimize the repetition of studies, making workflows more sustainable from both a cost and staffing perspective in healthcare settings.
Yes, digital labs can leverage AR/VR technologies to create 3D visualizations, enabling collaborative data analysis and visualization, thereby enhancing the understanding and utilization of healthcare data for improved decision-making.
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