Enhancing quality and environmental monitoring efficiency through paperless sampling
Environmental monitoring (EM) and utility monitoring (UM) programs generate substantial documentation requirements, making efficient data capture, review, and record management increasingly important in large-scale biologics manufacturing.
This whitepaper explores how Samsung Biologics implemented a fully paperless sampling workflow by integrating environmental monitoring with electronic laboratory notebooks (ELNs) and laboratory information management systems (LIMS), enabling automated data capture, strengthening traceability, and reducing operational risk.
Key highlights include:
Automated sampling records through standardized digital forms
Elimination of manual transcription to reduce human error
Reduced cross-contamination risk through paperless documentation
Real-time audit trails and centralized record management
A digital foundation for broader monitoring automation
Discover how a fully paperless sampling workflow can reduce operational risk, strengthen traceability, and support more efficient environmental monitoring.
Environmental monitoring (EM) and utility monitoring (UM) programs generate substantial documentation requirements, making efficient data capture, review, and record management increasingly important in large-scale biologics manufacturing.
This whitepaper explores how Samsung Biologics implemented a fully paperless sampling workflow by integrating environmental monitoring with electronic laboratory notebooks (ELNs) and laboratory information management systems (LIMS), enabling automated data capture, strengthening traceability, and reducing operational risk.
Key highlights include:
- Automated sampling records through standardized digital forms
- Elimination of manual transcription to reduce human error
- Reduced cross-contamination risk through paperless documentation
- Real-time audit trails and centralized record management
- A digital foundation for broader monitoring automation
Discover how a fully paperless sampling workflow can reduce operational risk, strengthen traceability, and support more efficient environmental monitoring.
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