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Ratings and Reviews 0 Ratings
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TrustInSoft AnalyzerTrustInSoft has developed a source code analysis tool known as TrustInSoft Analyzer, which meticulously evaluates C and C++ code, providing mathematical assurances that defects are absent, software components are shielded from prevalent security vulnerabilities, and the code adheres to specified requirements. This innovative technology has gained recognition from the National Institute of Standards and Technology (NIST), marking it as the first globally to fulfill NIST’s SATE V Ockham Criteria, which underscores the significance of high-quality software. What sets TrustInSoft Analyzer apart is its implementation of formal methods—mathematical techniques that facilitate a comprehensive examination to uncover all potential vulnerabilities or runtime errors while ensuring that only genuine issues are flagged. Organizations utilizing TrustInSoft Analyzer have reported a significant reduction in verification expenses by 4 times, a 40% decrease in the efforts dedicated to bug detection, and they receive undeniable evidence that their software is both secure and reliable. In addition to the tool itself, TrustInSoft’s team of experts is ready to provide clients with training, ongoing support, and various supplementary services to enhance their software development processes. Furthermore, this comprehensive approach not only improves software quality but also fosters a culture of security awareness within organizations.
What is SAS Health?
Elevate your digital transformation efforts while unlocking critical insights from your data with tailored health analytic solutions. With its user-friendly drag-and-drop interface, the SAS Health Cohort Builder empowers users to create and query cohorts based on temporal connections without requiring any coding experience. This intuitive tool facilitates the exploration of cohort characteristics and the effects of various inclusion or exclusion criteria on patient populations, aiding in the evaluation of study feasibility. Users can conveniently save cohort definitions for future applications, adjust them as necessary, and utilize them across various real-world data sources for comparative studies, ultimately saving both time and resources in the research process. Moreover, findings can be validated and further examined through in-memory processing and visualization capabilities within SAS or via other platforms like R, Python, as well as a range of third-party visualization tools. Conversely, SAS Health: Episode Builder grants you the flexibility to view and adjust episode definitions directly, putting you in control of the entire process. With SAS’s comprehensive documentation outlining the logic behind generating episodes of care, you can have confidence in the transparency and auditability of the underlying business rules, enhancing the integrity of your health data analytics. This blend of features not only streamlines the analytic process but also significantly positions SAS as a premier solution in the field of health analytics, making it an invaluable asset for healthcare professionals.
What is FDB CDS Analytics?
Healthcare organizations invest considerable amounts of time, resources, and financial capital into electronic health record (EHR) solutions to comply with best practices and improve patient outcomes, heavily relying on effective clinical decision support (CDS) systems to fulfill these aims. Nevertheless, the real challenge emerges in determining which CDS initiatives embedded in your EHR are yielding positive results or falling short. FDB CDS Analytics provides your organization with powerful tools that facilitate the easy identification, tracking, and customization of clinical decision support, ultimately enhancing the experience for clinicians and maximizing the effectiveness of CDS. With intuitive dashboards, you can monitor organization-wide trends and explore details at both the departmental and individual user levels. This solution includes pre-configured metrics for CDS monitoring and reporting, allowing for a rapid implementation and enabling you to identify the best moments to deliver information within workflow processes. Furthermore, you can assess the long-term impacts of clinical decision support and monitor the most commonly activated medication alerts, which enables you to tailor customization efforts to the areas that produce the most significant outcomes. By employing this holistic analytics strategy, not only does it simplify decision-making, but it also encourages an ongoing commitment to enhancing healthcare delivery, ultimately leading to better patient care and operational efficiency. As a result, embracing such analytics can significantly transform the way healthcare providers approach clinical decision-making and patient treatment.
Integrations Supported
Python
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
SAS
Company Location
United States
Company Website
www.sas.com/en_us/software/health.html
Company Facts
Organization Name
First Databank
Company Location
United States
Company Website
www.fdbhealth.com/solutions/clinical-decision-support-analytics