University Health Network Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by University Health Network and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 17938 University Health Network employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that University Health Network has purchased the following applications: HRsoft COMPview for Compensation Management in 2013, ABELMed for Electronic Health Record, Medical Practice Management in 2014, TreeAge Pro Healthcare for Analytics and BI in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems University Health Network is running and its propensity to invest more and deepen its relationship with HRsoft , ABELMed , TreeAge or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing University Health Network revenues, which have grown to $2.82 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for University Health Network intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| HRsoft | Legacy | HRsoft COMPview | Compensation Management | HCM | n/a | 2013 | 2013 |
In 2013 University Health Network implemented HRsoft COMPview, a Compensation Management application. The HRsoft COMPview deployment was positioned to centralize compensation planning and salary decision workflows for HR and talent acquisition stakeholders within the organization.
HRsoft COMPview was configured to support core compensation management capabilities including structured salary planning, merit cycle configuration, offer modeling for new hires, and approval workflow orchestration. The implementation emphasized role-based access and compensation governance controls, with configurable pay matrices and reporting capabilities to support compensation review cycles and total rewards documentation.
The environment included use of the HRsoft Applicant Tracking System to produce job postings and screen resumes, and recruitment outputs were aligned with compensation workflows to streamline offer preparation and salary placement. Operational coverage focused on HR compensation administration and talent acquisition processes, with candidate data from the applicant tracking activities feeding offer scenarios and salary setting workflows in HRsoft COMPview.
Governance was implemented through configured approval chains and audit reporting within HRsoft COMPview to enforce compensation policy and approver accountability. University Health Network used HRsoft COMPview to instrument standardized compensation processes and integrate recruitment-to-offer routines, maintaining centralized control over pay actions and compensation documentation.
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ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| ABELMed | Legacy | ABELMed | Electronic Health Record, Medical Practice Management | ERP Services and Operations | n/a | 2014 | 2014 |
In 2014 University Health Network implemented ABELMed to extend Electronic Medical Records capabilities with a specific emphasis on registering new patient billing. The initial deployment targeted registration and billing operations, enabling front line staff to capture demographic, payor, and encounter data at the point of registration and persist that information within ABELMed for downstream billing processes.
ABETMed was configured with standard Electronic Medical Records modules for patient registration and billing, including demographic intake, insurance and payor fields, encounter linkage, and invoice preparation workflows. Configuration work emphasized role based access controls and audit logging for registration and revenue cycle teams, and standard operating procedures were aligned to the ABELMed data model to govern data capture, billing code entry, and record reconciliation during rollout and ongoing operations.
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| TreeAge | Legacy | TreeAge Pro Healthcare | Analytics and BI | Analytics and BI | n/a | 2020 | 2020 |
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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Analytics and BI | Analytics and BI |
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2025 | 2028 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Enterprise Content Management | Content Management |
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2017 | 2017 |
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Web Content Management | Content Management |
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2016 | 2016 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Marketing Automation | CRM |
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2016 | 2016 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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iPaaS (Integration Platform as a Service) | PaaS |
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2021 | 2022 |
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Transactional Email | PaaS |
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2017 | 2017 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Hosting and Computing Services | IaaS |
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2016 | 2016 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2020 | 2020 |
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