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Ratings and Reviews 0 Ratings
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ProShopProShop is an innovative, cloud-based management system that seamlessly integrates ERP and MES functionalities, specifically tailored for manufacturing firms operating in regulated industries. Developed right on the shop floor, ProShop stands out as a unique solution unlike any other available today. It excels in managing intricate manufacturing settings more effectively than competing products, offering unparalleled visibility into all facets of your manufacturing operations. Often referred to as a Digital Manufacturing Ecosystem, ProShop operates entirely paperlessly and merges the capabilities of ERP, MES, and QMS with various other software solutions. This comprehensive system is ideal for machine shops, fabricators, job shops, contract manufacturers, and other organizations in regulated fields that require stringent process management and demand precise, timely data to facilitate the most lucrative decision-making. By adopting ProShop, businesses can significantly enhance their operational efficiency and competitiveness in the market.
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What is OpenText for Life Sciences?
OpenText™ Information Management solutions provide life sciences organizations with the tools needed to leverage data and content insights, improving their decision-making processes and accelerating product development timelines. These solutions facilitate the smooth integration, management, and secure exchange of information across individuals, systems, and devices. By optimizing the use of information assets from research and development to commercialization, companies can take advantage of flexible cloud-native software that functions seamlessly in various environments. OpenText specifically tailored for the life sciences sector greatly speeds up the discovery phase, enabling the extraction of actionable insights that drive innovation throughout the development pipeline. Users can transform research articles into electronic lab notebooks via intelligent capture and harness text mining techniques to reveal valuable insights. Furthermore, the platform excels in extracting knowledge from unstructured text found in clinical trial reports, study protocols, and data pertaining to clinical safety and efficiency. It also provides tools for the intelligent analysis, categorization, and extraction of information from clinical trial documents, thereby reducing the likelihood of costly delays and disruptions in the development process. By harnessing these advanced features, life sciences organizations can significantly improve their operational efficiency and propel their research initiatives forward while remaining competitive in a fast-evolving field. The integration of these tools ultimately enhances collaboration and innovation across the entire organization.
What is Amazon Comprehend Medical?
Amazon Comprehend Medical is an NLP service designed to adhere to HIPAA standards, employing machine learning to extract health information from medical documents without necessitating any prior expertise in machine learning from its users. A vast amount of healthcare data is found in unstructured formats, such as physicians' notes, clinical trial reports, and patient histories. Relying on traditional, manual methods for data extraction is not only time-consuming but also prone to errors, as rule-based automation often fails to capture essential contextual details, resulting in incomplete data retrieval. This lack of reliability can significantly undermine the effectiveness of large-scale analytics, which are critical for advancements in the healthcare and life sciences industries, ultimately impeding potential enhancements in patient care and operational effectiveness. By utilizing this sophisticated service, healthcare organizations can gain invaluable insights and improve their decision-making capabilities, ultimately leading to better outcomes for patients. This transformative approach represents a significant leap forward in how health data can be leveraged for greater efficiency and efficacy in medical practices.
Integrations Supported
AWS AI Services
AWS App Mesh
Amazon Comprehend
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft 365
Oracle Cloud Infrastructure
SAP Cloud Platform
SAP HANA
SAP S/4HANA
Integrations Supported
AWS AI Services
AWS App Mesh
Amazon Comprehend
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft 365
Oracle Cloud Infrastructure
SAP Cloud Platform
SAP HANA
SAP S/4HANA
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
OpenText
Company Location
Canada
Company Website
www.opentext.com/products-and-solutions/industries/life-sciences
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/comprehend/medical/
Categories and Features
Clinical Trial Management
21 CFR Part 11 Compliance
Document Management
Electronic Data Capture
Enrollment Management
HIPAA Compliant
Monitoring
Patient Database
Recruiting Management
Scheduling
Study Planning
Quality Management
Audit Management
Complaint Management
Compliance Management
Corrective and Preventive Actions (CAPA)
Defect Tracking
Document Control
Equipment Management
ISO Standards Management
Maintenance Management
Risk Management
Supplier Quality Control
Training Management
Categories and Features
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization
