Software
QMSQC software systems are designed to work from a single small lab instance or to scale up to exceptionally large multiple laboratory environments. Data can also be replicated from multiple lab instances to a centralized reporting instance. QMSQC is easy to use for virtually any data type, analyte, or level of user which can be configured to meet multiple lab requirements and learning management by allowing different types of users from read only to super admin.
Conceptually, QMSQC integrates into Data Science allowing a unique dynamic grouping of data to create groups of data based on profiles which are simply slices of data with “Where limiters” on several fields and Limit Specs that can be assigned on all the fields.
QMSQC centralizes laboratory informatics, process data interfaces and focuses on fast automated workflows with barcoding, chain of custody procedures, and user interface designs that interface easily in an innovative sample workflow, with quality management and limit specifications allowing fast and reusable real time quality profiles with advanced database record filtering options.
QMSQC promotes continuous improvement for critical business processes, and it is easy in QMSQC to document research work and remove the need for paper-based alternatives due to an integrative approach by using dynamic profiles for the next generation in Quality Management/Quality Control and Process Interface Systems.
QMSQC integrates:
- Laboratory Information Management System (LIMS)
- Built-in Instrumental interfaces for direct and data pump interfaces/APIs
- Process Interfaces to AVEVA/Wonderware Rockwell and others
- Electronic Laboratory Notebook (ELN)
- Laboratory Execution System (LES)
- Scientific Data Management System (SDMS) capabilities
These capabilities of ELN and LES document and audit data management, eliminate unnecessary paper, helps users easily capture, organize, and manage data, while collaborating on experiments and test execution workflows across the organization.
Our integrated SDMS enables the easy, secure capture of instrument-related data. With robust and flexible storage options, it simplifies your data management, reduces data bottlenecks, and ensures data integrity. QMSQC has the flexibility to adapt to data types and data type changes that would be expected in any type of ad-hoc or planned experiment or analysis.
Develop analytical methods, QC Operations, or experiments by analyte organized into profiles and quality groups for ultimate data flexibility.
Product Specifications: QMSQC allows users to setup static, rolling and running product specifications to manage Quality specs and samples with limit specs on each profile. The flexibility to configure the profiles and settings to your data and liking is very powerful. As products change, or there are many types of the same product that have different specs at different times or with different vendors, this makes this complicated setup much easier not only to run but manage over time. This can also be highly effective in research labs since it allows unlimited sample profiles to be set up quickly and not try to fit all results into a one size fits all approach.
QMSQC raises the bar that includes a wealth of built-in tools that walk a user through common tasks. QMSQC offerings security and reporting services with innovative features that drive productivity, ensure compliance, streamline processes, and improve organizational efficiency in many key areas. QMSQC has built on a long history of successful automation development and is excited to align the objectives of science and business.
Due to business time dependent challenges and competition in the field, it is sometimes necessary to quickly adopt into changes in laboratory’s service offering, resulting in quick changes that are met by QMSQC being flexible, allowing your laboratory to adapt into changing business, reporting, and invoicing needs.
We offer expertise and excellence to help develop flexible models of working with your data, fuel innovation by delivering insights that solve business challenges and create breakthrough solutions and success.
Management can make decisions based on data entered and collected through the implementation of Statistical Process Control (SPC) and other methods based on evidence. Valuable resources are utilized where they will have the most impact on improving process efficiency and reducing quality issues. This helps create a continuous improvement culture identifying opportunities for improvements that will result in better quality, efficiency and safety that enables organizations of all types be more efficient and effective and promotes cross-functional communication and interaction.