List of KenSci Clinical Analytics Customers
Tegria
1801 Lind Avenue Southwest,
Renton, 98057, WA,
United States
Renton, 98057, WA,
United States
1 425-000-0000
Professional Services
4000
$670M
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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MultiCare Health System | Healthcare | 20000 | $3.8B | United States | Tegria | KenSci Clinical Analytics | ML and Data Science Platforms | 2015 | n/a |
In 2015, MultiCare Health System implemented KenSci Clinical Analytics to support predictive risk modeling for hospital readmissions. The deployment was aligned with a Microsoft Azure based Risk as a Service toolset developed in partnership with the University of Washington Tacoma Center for Data Science, with technical support from Edifecs and vendor Tegria, positioning KenSci Clinical Analytics within the ML and Data Science Platforms category for cloud execution and model scoring.
The KenSci Clinical Analytics implementation ingested hundreds of attributes to build readmission risk models, combining demographics, lab tests, vital signs, documented comorbidities, and charge data. Functional capability emphasis included feature engineering across clinical and claims attributes, model training and scoring pipelines, and explanation modules that surface interpretable insights behind each prediction to clinicians.
Integrations focused on operationalizing blended clinical and claims data feeds, absorbing lab results, vitals streams, billing and charge records, and demographic registries to create longitudinal patient profiles for congestive heart failure risk assessment. The service produced patient level risk reports that identified patients most at risk for readmission and delivered contextual explanations intended for use by cardiologists and front line clinical teams.
Governance and operating model centered on close collaboration between machine learning researchers and practicing clinicians, enabling iterative model validation and explanation tuning to match clinical workflows. The implementation emphasized explainability and clinical review workflows so that model outputs could be triaged by care teams, while remaining within the operational scope of cardiology and readmission management functions.
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NHS Scotland | Healthcare | 160000 | $15.7B | United Kingdom | Tegria | KenSci Clinical Analytics | ML and Data Science Platforms | 2017 | n/a |
In 2017, NHS Scotland began a trial deployment of KenSci Clinical Analytics through an open innovation competition to develop risk prediction for chronic obstructive pulmonary disease. The implementation focused on emergency care management for COPD within NHS Greater Glasgow & Clyde, using an anonymized dataset covering approximately 2.1 million patients and capturing A&E admissions over a four year window to validate clinical predictive models.
The KenSci Clinical Analytics deployment implemented ML driven risk prediction models and a physician decision support solution, delivering COPD specific risk scores, detection and prediction of clinical deterioration including acute exacerbations, and estimations of admission patterns and length of stay. Model training and scoring pipelines were paired with visualization layers and clinician-facing reports, reflecting typical capabilities of ML and Data Science Platforms in healthcare risk stratification and operational forecasting.
Architecturally the risk prediction platform was built on Microsoft Azure with reporting surfaced through Power BI, ingesting anonymized records provided under a data processing agreement with the NHS Greater Glasgow & Clyde Safe Haven. Trustmarque partnered with KenSci to construct the platform, and the project used SBRI funding and a phased evaluation approach to test technical feasibility against the Glasgow patient cohort.
Governance and rollout were structured around the SBRI competition phases, with phase 1 demonstrating feasibility and phase 2 designated for prototype development and evaluation, and NHS Greater Glasgow & Clyde acting as the lead test bed for potential extension to other clinical areas. The project was explicitly aimed at enabling clinicians to prioritize high risk patients, support earlier treatment and disposition decisions, and inform hospital resource planning while maintaining clinical safety and data processing controls.
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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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FAQ - APPS RUN THE WORLD KenSci Clinical Analytics Coverage
KenSci Clinical Analytics is a ML and Data Science Platforms solution from Tegria.
Companies worldwide use KenSci Clinical Analytics , from small firms to large enterprises across 21+ industries.
Organizations such as NHS Scotland, MultiCare Health System, Rush University System for Health, EvergreenHealth and Fullerton Health Group are recorded users of
KenSci Clinical Analytics for ML and Data Science Platforms.
Companies using KenSci Clinical Analytics are most concentrated in Healthcare, with adoption spanning over 21 industries.
Companies using KenSci Clinical Analytics are most concentrated in United Kingdom, United States and Singapore, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of KenSci Clinical Analytics across Americas, EMEA, and APAC.
Companies using KenSci Clinical Analytics range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 50%, and global enterprises with 10,000+ employees - 50%.
Customers of KenSci Clinical Analytics include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified KenSci Clinical Analytics customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of ML and Data Science Platforms.