Gold Sponsor
Workshop Session
Laboratory Orchestration (Connect Platform): Streamlining Lab Workflows to Enhance Efficiency, Quality, and User Experience
Presenter: Gopalan Marimuthu, APAC Senior Project Manager – Digital Science Solutions @ Thermo Fisher Scientific
Gopalan currently works as a Senior Project Manager – Digital Science Solutions (DSS) at Thermo Fisher Scientific, Inc., part of the APAC region. He plays a dual role of project management and technical consultant in Pharma, BioPharma, Oil and Gas, Mining, Refineries, and Minerals. He is also a Certified ScrumMaster® (CSM) to facilitate Digital Transformation projects.
He is an IT Business Partner with rich experience in IT Operations and Compliance, IT Governance, Risk and Compliance (GRC, Incl. SOP creation and revision using EDMS and Change Management in TrackWise), Laboratory, Clinical, and R&D Informatics, Lab Automation, Digitalization, IT QA and Audit in GxP and R&D, IT CSV, Electronic Record (ER)/Electronic Signature (ES) and IT System Management for computerized systems, Anytime Audit Readiness (ATAR), Corrective Action and Preventive Action (CAPA), Audit Response, Risk and Change Management, Business Continuity & Crisis Management (BCCM or BCP), Project Management, Product Management, Stakeholder Management (Internal and External), Strategic Initiatives for IT Annual Operating Plans (AOPs), New Implementation of Laboratory Informatics solutions and Leadership and mentor roles in the area of Laboratory Informatics in Pharma, Biopharma, Life Sciences R&D, and CRO.
OVERVIEW
A platform-based approach to scientific orchestration typically involves using a centralized software solution tailored specifically for the life sciences market. It offers a unified solution to integrate and automate various scientific processes, data sources, and applications.
By adopting this approach, organizations can greatly enhance productivity, accelerate discoveries, improve data integrity, ensure compliance, and facilitate collaboration among multidisciplinary teams.
Seamless laboratory connectivity is critical to remove barriers associated with using multiple vendor technologies and fragmented digital systems. To facilitate the free flow of information, forward-thinking scientific organizations focus on data transformation, using laboratory orchestration platforms to truly integrate workflows, data and systems.
Laboratory orchestration platforms integrate the flow of tasks, personnel, inventory, consumables, instruments and experimental data, regardless of vendor, to streamline processes, and improve efficiency and quality.
It is this powerful ability to bridge the gap between vendors that sets platform technologies apart from traditional laboratory information management system (LIMS) offerings.
WOULD SHOULD BENEFIT
Across the evolving life sciences sector, organizations face unique challenges in managing complex scientific workflows, integrating diverse systems, and ensuring compliance with regulatory requirements.
This is often due to the complex and highly regulated nature of the industry, the need to handle large volumes of diverse data from various sources, the requirement for seamless collaboration with external partners, and the constant need to adapt to scientific advancements and regulatory changes.
These challenges necessitate robust systems, seamless data integration, effective communication, and continuous process improvement to ensure compliance and maintain a competitive edge and can be a tricky challenge to get right.
To overcome these challenges, life sciences companies can greatly benefit from adopting a platform-based approach to orchestration.
WHY ATTENDING
Laboratory orchestration helps life sciences organizations realize the full potential of digital transformation to improve quality, efficiency and the user experience. These platforms allow workflows and experiments to be automated from design to execution, enabling tasks, such as consumable resupply and instrument maintenance, to be scheduled automatically to maximize productivity and efficiency. By closely integrating people, information and technologies in a single ecosystem, laboratory orchestration allows teams to connect and automate the entire data pipeline. This enhances data findability, accessibility, interoperability, and reusability (the so-called FAIR data principles) to ensure the integrity of information.
These advances in connectivity also allow laboratories to leverage scalability, helping organizations quickly extend capabilities and respond to changing needs. By seamlessly linking all aspects of laboratory workflows, orchestration platforms enable the use of data analytics and visualization to improve responsiveness and accelerate innovation. This helps organizations utilize their data to identify trends, predict potential issues, and take advantage of emerging opportunities for continual process improvement. Ultimately, laboratory orchestration streamlines workflows, eliminating tedious manual tasks to enhance user experience, and enables scientists to focus on the advancement of science.
The benefits of a platform-based approach to scientific orchestration are evident, but can be highlighted in via some distinct examples:
Example 1: A biotech firm specializing in genomics research that’s struggling with managing and integrating data from multiple sources.
By implementing a platform-based solution, this company is able to seamlessly integrate scientific workflows, enabling its researchers to access and analyze data in a unified environment. This not only saves time but also fosters cross-functional collaboration, leading to accelerated scientific discoveries.
Example 2: A pharmaceutical company involved in clinical trials, facing challenges in ensuring regulatory compliance and data integrity.
With a platform-based orchestration solution, this company can automate validation processes, streamline documentation, and facilitate regulatory reporting. This significantly reduces the risk of non-compliance and improves overall data governance.
Example 3: A bioanalysis company looking for a way to guarantee data quality
The platform provides a centralized environment for data management, integration, and analysis, enabling efficient data handling, traceability, and auditability, ultimately leading to enhanced data integrity and quality assurance.