Difference between revisions of "User:Shawndouglas/sandbox/sublevel9"

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===Document and compliance management===
===Expected level of integration or interoperability===
Please describe how your cannabis testing LIMS helps clients better manage their industry- and regulation-specific compliance documentation responsibilities and requirements. Provide details about LIMS mechanisms such as document management and storage, versioning, approval and rejection, validation, auditing, signing, and disposition in relation to better meeting those compliance efforts.
Please describe how you anticipate your cannabis testing LIMS solution(s) being able to readily integrate or have base interoperability with a client's other software systems, business processes, and existing data while making it easier for the client to perform their laboratory's tasks. What is the broad approach to data exchange and integration in the LIMS, including data integration concerns you expect to arise when moving client data into your system? Include information about specific software integrations (e.g., to enterprise resource planning, seed-to-sale, or other state-specific reporting systems), as well as instrument data systems connectivity for instrument systems common to cannabis testing, including chromatography, spectroscopy, spectrometry, and polymerase chain reaction systems. If possible, provide a list of specifically supported software and instrument systems.




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===Resource and inventory management===
===System performance and smart systems===
Please describe how your cannabis testing LIMS helps clients better manage their laboratory's resources (e.g., time, training, and money) and inventory (e.g., equipment, test samples, reagents, and standards). What makes your LIMS solution stand out about resource and inventory management for cannabis testing laboratories? For example, describe special features like sample weight reconciliation, disposition management, training and certification management, configurable schedulers, and cannabis-related billing management that are important to a cannabis testing laboratory.
Please elaborate on how your cannabis testing LIMS performs under a variety of workload conditions, from a handful of samples using several integrations to large quantities of samples using 10 or more integrations. In other words, how scalable is the system? Describe what additional smart components are available—including artificial intelligence, machine learning, predictive maintenance, and monitoring components—in the LIMS to help cannabis testing labs further improve laboratory workflow and overall system performance.
 
 
 
 
 
 
===Miscellaneous activity management===
Please describe in brief any additional noteworthy functionality in your cannabis testing LIMS (outside of what has been mentioned so far) that supports the operations and workflow of a cannabis testing laboratory. This includes, but is not limited to, instrument maintenance and management, calibration scheduling, batch and lot management, and alarm and alert management.
 
 
 
 
 
 
 
===Quality management===
Please describe how your cannabis testing LIMS helps clients improve the quality of their processes, data, and test results. Address critical functionality such as out-of-specification (OOS) and out-of-trend (OOT) identification, nonconformance and deviation tracking, corrective action documentation and management, and quality management system documentation and management.

Revision as of 13:57, 21 August 2021

Expected level of integration or interoperability

Please describe how you anticipate your cannabis testing LIMS solution(s) being able to readily integrate or have base interoperability with a client's other software systems, business processes, and existing data while making it easier for the client to perform their laboratory's tasks. What is the broad approach to data exchange and integration in the LIMS, including data integration concerns you expect to arise when moving client data into your system? Include information about specific software integrations (e.g., to enterprise resource planning, seed-to-sale, or other state-specific reporting systems), as well as instrument data systems connectivity for instrument systems common to cannabis testing, including chromatography, spectroscopy, spectrometry, and polymerase chain reaction systems. If possible, provide a list of specifically supported software and instrument systems.




System performance and smart systems

Please elaborate on how your cannabis testing LIMS performs under a variety of workload conditions, from a handful of samples using several integrations to large quantities of samples using 10 or more integrations. In other words, how scalable is the system? Describe what additional smart components are available—including artificial intelligence, machine learning, predictive maintenance, and monitoring components—in the LIMS to help cannabis testing labs further improve laboratory workflow and overall system performance.

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