List of TreeAge Pro Healthcare Customers
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Since 2010, our global team of researchers has been studying TreeAge Pro Healthcare 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 TreeAge Pro Healthcare for Analytics and BI 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 TreeAge Pro Healthcare for Analytics and BI include: NHS Scotland, a United Kingdom based Government organisation with 140000 employees and revenues of $21.64 billion, University Health Network, a Canada based Healthcare organisation with 17938 employees and revenues of $2.82 billion, Cleveland Clinic, a United States based Healthcare organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using TreeAge Pro Healthcare, 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 software purchases.
The TreeAge Pro Healthcare 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 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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Cleveland Clinic | Healthcare | 10 | $1M | United States | TreeAge | TreeAge Pro Healthcare | Analytics and BI | 2021 | n/a |
In 2021, Cleveland Clinic researchers used TreeAge Pro Healthcare to conduct HEOR modeling for a multi-center economic evaluation documented in the MENTOR study. TreeAge Pro Healthcare, an Analytics and BI application, was used to construct Markov models assessing cost-effectiveness of rituximab versus cyclosporine.
Implementation centered on model construction and analysis workflows typical to clinical-economics research, with TreeAge Pro Healthcare used to define health states, transition probabilities, cost inputs, and quality-adjusted life year outputs. The application supported calculation of incremental cost-effectiveness ratios and both probabilistic and deterministic sensitivity analyses consistent with health economic evaluation practice.
Operational scope referenced researchers affiliated with Cleveland Clinic as co-investigators in the multi-center MENTOR study within the United States healthcare context, and the paper records TreeAge Pro use in the methods section. Deployment was research-focused to support HEOR and clinical-economics functions for the study team rather than an enterprise administrative rollout.
The published HEOR analysis reported rituximab as cost-effective, presenting an incremental cost-effectiveness ratio of approximately $8,373 per QALY in the model results, with TreeAge Pro cited in the methods. Reporting and model disclosure in the publication align with standard academic governance for reproducibility and methodological transparency in economic modeling.
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NHS Scotland | Government | 140000 | $21.6B | United Kingdom | TreeAge | TreeAge Pro Healthcare | Analytics and BI | 2021 | n/a |
In 2021, NHS Scotland used TreeAge Pro Healthcare to build decision-tree and health-economic models evaluating genomic testing strategies for rare developmental disorders from an NHS Scotland perspective. TreeAge Pro Healthcare is an Analytics and BI application and the cited work references TreeAge Pro 2021 module usage to construct probabilistic cost models and scenario analyses for diagnostic pathways.
Modeling focused on explicit decision-tree health-economic constructs, including pathway branching for testing strategies, cost inputs, and outcome nodes reflecting diagnostic yield and downstream resource use. The implementation leveraged TreeAge Pro Healthcare features for deterministic and probabilistic sensitivity analysis to compare trio exome sequencing as a second-line test against extended diagnostic odysseys, reflecting standard capabilities in decision-analytic and cost-effectiveness workflows.
Operational coverage was centered in the Scotland health economics and genomics evaluation context, supporting clinical genetics, health economics, and policy review teams within NHS Scotland. No external system integrations are documented in the source, the work is presented as a stand‑alone modeling exercise performed from an NHS Scotland perspective.
Governance and use case framing were oriented to health technology assessment style review, with models produced to inform testing policy options. The published outcome from the TreeAge Pro Healthcare 2021 models found that offering trio exome sequencing as a second-line test was cost-saving versus the diagnostic odyssey, a result used to evaluate genomic testing strategy options.
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University Health Network | Healthcare | 17938 | $2.8B | Canada | TreeAge | TreeAge Pro Healthcare | Analytics and BI | 2020 | n/a |
In 2020 University Health Network deployed TreeAge Pro Healthcare version 2020 R1.1 as part of an Analytics and BI implementation to support health economic modeling for a Canada based clinical decision support and HEOR study. Analysts at UHN used TreeAge Pro Healthcare to construct individual level Markov models that evaluated preoperative obstructive sleep apnea screening strategies, explicitly citing the software in the methods of the published study.
The implementation centered on individual level Markov modeling and lifetime horizon cost effectiveness workflows, leveraging TreeAge Pro Healthcare capabilities for decision analytic modeling and model documentation. Models were configured to represent sequential screening pathways, in this case STOP Bang followed by polysomnography, and to support interpretive outputs required for cost effectiveness assessment and policy oriented HEOR reporting.
Operational scope covered HEOR analysts and clinical decision support stakeholders within UHN, with modeling work scoped to Canadian clinical and payer perspectives for preoperative screening. The use of TreeAge Pro Healthcare informed internal evaluation of screening strategy trade offs and provided reproducible model artifacts suitable for peer reviewed publication.
Governance for the effort is reflected in the methods citation, indicating the modeling approach and software choice were part of the study protocol and reproducibility controls. The published study concluded that STOP Bang followed by polysomnography was cost effective on a lifetime horizon, and TreeAge Pro Healthcare is explicitly named as the analytic engine used in the research.
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