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What is Pantheon?

Pantheon represents a cutting-edge software solution driven by artificial intelligence, aimed at the identification, profiling, engagement, and mapping of healthcare professionals and Key Opinion Leaders (KOLs). Utilizing advanced analytics, the platform gathers crucial data from a variety of sources, such as conference presentations, academic publications, clinical trial activities, and social media, to formulate comprehensive profiles of influential individuals within the healthcare industry. It plays a vital role in helping users build and maintain relationships with these key figures by optimizing their engagement strategies, thus enabling efficient tracking of interactions and activities. In addition, Pantheon offers features like sentiment analysis, customized reporting, and seamless integration with CRM systems, which enhances coordination across different teams. This platform primarily benefits the pharmaceutical and healthcare sectors by facilitating collaboration with thought leaders for objectives such as clinical trials, marketing initiatives, and product development. Furthermore, Pantheon is designed with customization in mind and complies with industry regulations, ensuring it caters to the unique requirements of its users. With its wide array of functionalities, Pantheon not only empowers organizations to effectively engage with significant healthcare stakeholders but also drives improved results in their strategic endeavors. Ultimately, this innovative platform stands as a valuable ally in navigating the complex landscape of healthcare professional engagement.

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.

Media

Media

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Comprehend

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Comprehend

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

81qd

Date Founded

2007

Company Location

United States

Company Website

www.81qd.com/products-services/pantheon/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/comprehend/medical/

Categories and Features

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

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