Phoenix, 85016, AZ,
United States
Phoenix Children's Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Phoenix Children's and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 8000 Phoenix Children's employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Phoenix Children's has purchased the following applications: Appcast Xcelerate for Candidate Relationship Management in 2020, DataRobot AI Platform for Generative AI Platforms, Predictive Analytics in 2022, TeamSupport SnapEngage for Chatbots and Conversational AI in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Phoenix Children's is running and its propensity to invest more and deepen its relationship with Appcast , Moodle , UKG 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 Phoenix Children's revenues, which have grown to $750.0 million 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 Phoenix Children's 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 |
|---|---|---|---|---|---|---|---|---|
| Appcast | Legacy | Appcast Xcelerate | Candidate Relationship Management | HCM | n/a | 2020 | 2020 |
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Learning and Development | HCM |
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2018 | 2018 |
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Workforce Management | HCM |
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2011 | 2011 |
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Workforce Management | HCM |
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2020 | 2020 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| DataRobot | Legacy | DataRobot AI Platform | Generative AI Platforms, Predictive Analytics | AI Development | n/a | 2022 | 2022 |
In 2022, Phoenix Children's deployed the DataRobot AI Platform as a Generative AI Platforms,Predictive Analytics solution to automate predictive modeling for clinical and operational decision making. The organization moved from a workflow where a single model required about nine months of manual effort to a model development pipeline that non-data scientists can operate, shortening development cycles and enabling production use cases across the health system.
The implementation centered on automated model building and closed-loop augmented AI capabilities within the DataRobot AI Platform, supported by rapid dataset construction using 10 years of hospital data. Functional capabilities included automated feature engineering, model selection and deployment in a few clicks, scoring pipelines that flag patients for clinical review, and operational prediction workflows for appointment no-shows and emergency department volumes.
Phoenix Children's deployed the platform on-premise and integrated it with the hospitals Microsoft data and analytics stack, including Microsoft Power BI, with assistance from DataRobot Customer-Facing Data Scientists. The integration brought predictive outputs into clinical review workflows and scheduling operations, enabling nutritionists and scheduling staff to act on model flags and lists generated by the platform.
Governance and process changes focused on embedding model-driven alerts into clinician review and administrative outreach workflows, and on closing the loop when a clinician confirms a condition and updates the electronic medical record with diagnosis codes. Outcomes reported from the implementation include identification of four to five at-risk children per week for possible malnutrition, an average daily discovery of about 25 patients not planning to attend appointments leading to roughly 9,000 appointments identified annually that would have been missed, and predictive models for emergency room volume that inform staffing. Phoenix Children's leadership stated the return clinically and financially has far exceeded the cost of the deployment.
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ML and Data Science Platforms | AI Development |
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2024 | 2024 |
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| TeamSupport | Legacy | TeamSupport SnapEngage | Chatbots and Conversational AI | AI-Powered Application | n/a | 2017 | 2017 |
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Chatbots and Conversational AI | AI-Powered Application |
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2017 | 2017 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Collaboration | Collaboration |
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2020 | 2020 |
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Collaboration | Collaboration |
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2022 | 2022 |
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Collaboration | Collaboration |
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2018 | 2018 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Web Content Management | Content Management |
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2020 | 2020 |
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eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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eCommerce | eCommerce |
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2021 | 2021 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Digital Advertising Platform | CRM |
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2020 | 2020 |
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Digital Advertising Platform | CRM |
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2015 | 2015 |
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Donor and Fundraising Management | CRM |
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2018 | 2018 |
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Marketing Analytics | CRM |
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2019 | 2019 |
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Marketing Automation | CRM |
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2020 | 2020 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Performance Management | ITSM |
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2018 | 2018 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Governance, Risk and Compliance | TRM |
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2021 | 2021 |
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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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2013 | 2013 |
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Application Hosting and Computing Services | IaaS |
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2018 | 2018 |
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Application Hosting and Computing Services | IaaS |
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2020 | 2020 |
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Application Hosting and Computing Services | IaaS |
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2020 | 2020 |
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Application Hosting and Computing Services | IaaS |
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2022 | 2022 |
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Application Hosting and Computing Services | IaaS |
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2012 | 2012 |
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Application Hosting and Computing Services | IaaS |
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2018 | 2018 |
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Application Hosting and Computing Services | IaaS |
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2021 | 2021 |
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Application Hosting and Computing Services | IaaS |
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2024 | 2024 |
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Cloud Storage | IaaS |
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2018 | 2018 |
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Content Delivery Network | IaaS |
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2019 | 2019 |
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Content Delivery Network | IaaS |
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2022 | 2022 |
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Content Delivery Network | IaaS |
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2022 | 2022 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Endpoint Detection and Response (EDR) | CyberSecurity |
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2020 | 2020 |
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Endpoint Detection and Response (EDR) | CyberSecurity |
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2018 | 2018 |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2020 | 2020 |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2020 | 2020 |
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