List of KenSci Clinical Analytics Customers
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Since 2010, our global team of researchers has been studying KenSci Clinical Analytics customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased KenSci Clinical Analytics for ML and Data Science Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using KenSci Clinical Analytics for ML and Data Science Platforms include: NHS Scotland, a United Kingdom based Healthcare organisation with 160000 employees and revenues of $15.72 billion, MultiCare Health System, a United States based Healthcare organisation with 20000 employees and revenues of $3.80 billion, Rush University System for Health, a United States based Healthcare organisation with 13000 employees and revenues of $2.90 billion, EvergreenHealth, a United States based Healthcare organisation with 4510 employees and revenues of $1.95 billion, Fullerton Health Group, a Singapore based Healthcare organisation with 6000 employees and revenues of $900.0 million and many others.
Contact us if you need a completed and verified list of companies using KenSci Clinical Analytics , including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the Machine Learning software purchases.
The KenSci Clinical Analytics customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of Machine Learning software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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EvergreenHealth | Healthcare | 4510 | $2.0B | United States | Tegria | KenSci Clinical Analytics | ML and Data Science Platforms | 2016 | n/a |
In 2016 EvergreenHealth implemented KenSci Clinical Analytics, adopting an ML and Data Science Platforms solution with vendor Tegria. The engagement established a dedicated clinical analytics capability intended to apply predictive modeling and risk stratification across patient care workflows.
KenSci Clinical Analytics was configured to deliver predictive risk scores, model explainability artifacts, and operational model monitoring, aligning common ML and data science workflows such as model training, validation, scoring, and deployment. The implementation emphasized assembly of analytics pipelines and the configuration of clinical decision support outputs to surface prioritized risk signals into downstream care processes.
Operational governance centered on clinical validation and model oversight managed by the clinical analytics team and care management leadership. Rollout activities targeted embedding analytics outputs into clinician facing workflows and care coordination processes, and establishing controls for ongoing model retraining and performance monitoring.
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Fullerton Health Group | Healthcare | 6000 | $900M | Singapore | Tegria | KenSci Clinical Analytics | ML and Data Science Platforms | 2015 | n/a |
In 2015, Fullerton Health Group implemented KenSci Clinical Analytics as part of a program to revamp its clinical management and data analytics capability. KenSci Clinical Analytics was deployed as an ML and Data Science Platforms solution to deliver predictive insights and multi-dimensional clinical reporting to point-of-care teams.
The implementation centered on predictive modeling and dashboarding, using SQL Server Machine Learning Services to develop models and Power BI to present detailed and big-picture views of patients' health histories. Functional capabilities implemented included model-driven identification of emerging disease risk, longitudinal aggregation of patient health records, and clinician-facing dashboards for decision support.
Integrations connected KenSci Clinical Analytics outputs into existing clinical workflows, with Power BI reports surfaced to clinicians and Visual Studio Team Services used as part of the model and report lifecycle management. Operational scope emphasized point-of-care services and clinical departments, enabling clinicians to access patient-level and aggregate analytics during encounters.
Governance relied on Microsoft tooling for reproducible model development and iterative report delivery, aligning analytics development with clinical workflow change. The deployment enabled clinicians to gain instant insight into patient histories and to help identify diseases and other conditions before they become chronic, reflecting Fullerton Health Group's use of KenSci Clinical Analytics within an ML and Data Science Platforms stack to strengthen clinical decision support.
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Fullerton Healthcare Corporation Ltd | Healthcare | 2000 | $226M | Singapore | Tegria | KenSci Clinical Analytics | ML and Data Science Platforms | 2015 | n/a |
In 2015, Fullerton Healthcare Corporation Ltd deployed KenSci Clinical Analytics as part of a revamp of its clinical management and data analytics stack, categorized under ML and Data Science Platforms. The implementation targeted point-of-care services and clinician workflows to deliver both detailed and big picture views of patient health histories. Clinicians gained instant insight to help identify diseases and other conditions earlier in the care pathway.
KenSci Clinical Analytics was implemented alongside SQL Server Machine Learning Services for in-database predictive modeling, Power BI for multidimensional reporting and dashboards, and Visual Studio Team Services to manage development and release pipelines. Functional capabilities emphasized predictive modeling for risk stratification, patient level trend analysis, and interactive clinical dashboards fed by the clinical management system and patient record data. The project explicitly leveraged SQL Server Machine Learning Services to create predictive models and Power BI to make those insights operational for care teams.
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Healthcare | 20000 | $3.8B | United States | Tegria | KenSci Clinical Analytics | ML and Data Science Platforms | 2015 | n/a |
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Healthcare | 160000 | $15.7B | United Kingdom | Tegria | KenSci Clinical Analytics | ML and Data Science Platforms | 2017 | n/a |
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Healthcare | 13000 | $2.9B | United States | Tegria | KenSci Clinical Analytics | ML and Data Science Platforms | 2016 | n/a |
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Buyer Intent: Companies Evaluating KenSci Clinical Analytics
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