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What is Semalytix Pharos?
The costs, complexities, and extended durations associated with conventional evidence generation methods restrict the nimbleness of research, making it challenging to fully integrate authentic patient perspectives into the development and commercialization of treatments. Our HyperStream operates as the world's most extensive real-time repository of patient experience data, capturing the true digital stories of illnesses as shared by actual patients across diverse online platforms. The Pharos platform serves as a web-based tool designed for evidence generation and a research framework that harnesses its integrated data streaming and artificial intelligence capabilities to efficiently collect online patient experience data, enabling teams to rapidly identify critical evidence when needed. To date, the Pharos Suite has successfully produced significant evidence and patient insights in numerous therapeutic areas and medical conditions, showcasing its adaptability and influence on research methodologies. This groundbreaking strategy not only accelerates the evidence collection process but also deepens the comprehension of patient experiences as they unfold in real-time, reinforcing the value of patient narratives in shaping future healthcare solutions. Ultimately, by bridging the gap between research and patient input, we can foster a more responsive and effective healthcare ecosystem.
What is Jvion?
Jvion goes beyond traditional predictive analytics by revealing hidden patient risks tied to various health conditions and clinical situations, while also exploring how these risk patterns can be redirected to achieve better outcomes. Through the use of our prescriptive AI, we provide personalized recommendations for patients by analyzing an extensive range of elements, including clinical, socioeconomic, and behavioral data alongside established best practices. This valuable insight equips healthcare organizations to improve quality, decrease costs, and enhance the overall experience for patients. We examine a diverse set of clinical, socioeconomic, environmental, and behavioral information to identify unnoticed health and financial vulnerabilities. By focusing on modifiable patient traits, we craft targeted action plans tailored to each individual. Our methodology offers evidence-driven, prioritized, and patient-specific guidelines that integrate smoothly into existing workflows. In response to the ongoing pandemic, the importance of home care has been revitalized, as numerous patients now opt for at-home treatment to lower their risk of exposure to Covid-19 and other health threats. This significant shift highlights the urgent need for innovative healthcare solutions that address the changing requirements of patients in a post-pandemic era, ultimately fostering a more adaptable healthcare ecosystem.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
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
Semalytix
Date Founded
2015
Company Location
Germany
Company Website
www.semalytix.com/pharos-suite/
Company Facts
Organization Name
Jvion
Date Founded
2011
Company Location
United States
Company Website
jvion.com
Categories and Features
Categories and Features
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis