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What is LabNet LIS?

LabNet LIS is a client-server software solution for Windows that combines exceptional user-friendliness with the flexibility, robustness, and speed required to meet the demanding needs of modern laboratories. Developed by experts in laboratory information systems, LabNet connects multiple workstations across different departments, creating a comprehensive information framework that supports the entire laboratory and its network. Additionally, with a multitude of connections to various analyzer interfaces, it allows laboratories to operate as a cohesive and efficient unit. The design of LabNet emphasizes the simplicity and effectiveness of generating and sharing laboratory results. Furthermore, the system enables the seamless transfer of laboratory data to electronic medical records, billing systems, health information technologies, and practice management tools that extend beyond the laboratory. This high level of integration not only improves the flow of vital information throughout the healthcare continuum but also ensures that all involved parties have timely access to crucial data. By streamlining laboratory operations, LabNet LIS not only enhances efficiency but also fosters greater collaboration within the broader medical community, ultimately benefiting patient care. Its capabilities make it an invaluable asset for any laboratory aiming to optimize its performance and service delivery.

What is Ganymede?

Currently, critical information such as instrument settings, the latest service date, the identity of the analyst, and the experiment's duration remain unrecorded. This oversight leads to a loss of raw data, rendering it nearly impossible to modify or replicate analyses without considerable effort, while also complicating meta-analyses due to a lack of traceability. Consequently, the task of manually inputting primary analysis outcomes can become a significant burden that detracts from researchers' productivity. To address these challenges, we propose storing raw data in the cloud and automating analytical workflows to ensure continuous traceability. This approach allows for seamless integration of data into various platforms, including ELNs, LIMS, Excel, analytical applications, and pipelines. Furthermore, we are in the process of creating a data lake that consolidates all related information. This means that every piece of raw data, processed results, metadata, and even internal data from linked applications is securely stored in a unified cloud data lake for future access. With this system, analyses can be conducted automatically, and metadata can be added without any manual intervention. Additionally, results can be effortlessly sent to any application or pipeline, and can even be relayed back to the instruments for improved control, effectively streamlining the entire research workflow. This cutting-edge strategy not only enhances operational efficiency but also substantially elevates data management practices, ensuring that scientists can focus more on innovation rather than administrative tasks.

Media

Media

Integrations Supported

AZZLY

Integrations Supported

Microsoft Excel

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

Windows

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Online Training

Company Facts

Organization Name

LabSoft

Date Founded

1992

Company Location

United States

Company Website

www.labsoftweb.com

Company Facts

Organization Name

Ganymede

Company Location

United States

Company Website

www.ganymede.bio/

Categories and Features

Lab Automation

Not specified

Medical Lab

Data Security
Fax Management
Lab Instrument Interface
Multi-Location Printing
Online Instrumentation
Physician Test Panels
Sample Tracking

Categories and Features

Lab Automation

Not specified

Medical Lab

Not specified

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