Middletown, 45042, OH,
United States
Centerpoint Health Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Centerpoint Health and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 130 Centerpoint Health employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Centerpoint Health has purchased the following applications: eClinicalWorks Cloud EHR for Electronic Health Record in 2024, eClinicalWorks healow No-Show Prediction AI Model for Predictive Analytics in 2024, Microsoft 365 for Collaboration in 2015 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Centerpoint Health is running and its propensity to invest more and deepen its relationship with eClinicalWorks , Microsoft , The Trade Desk 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 Centerpoint Health revenues, which have grown to $47.0 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 Centerpoint Health 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.
ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| eClinicalWorks | Legacy | eClinicalWorks Cloud EHR | Electronic Health Record | ERP Services and Operations | n/a | 2024 | 2024 |
|
AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| eClinicalWorks | Legacy | eClinicalWorks healow No-Show Prediction AI Model | Predictive Analytics | AI-Powered Application | n/a | 2024 | 2024 |
In 2024, Centerpoint Health deployed the eClinicalWorks healow No-Show Prediction AI Model as a Predictive Analytics application to improve scheduling and patient access across its federally qualified health center network. The deployment is positioned to identify appointments at high risk of no-show and support targeted outreach workflows, with the organization reporting 90 percent model accuracy and a roughly 24 percent increase in show rate for appointments flagged high risk.
The eClinicalWorks healow No-Show Prediction AI Model ingests historical appointment and attendance data from the eClinicalWorks EHR and surfaces a no-show prediction percentage directly in the eClinicalWorks schedule. Configuration work focused on embedding the prediction score into appointment views, enabling staff-facing prompts for reminders and rescheduling, and recording patient-reported reasons for missed or canceled visits within the EHR.
Operational coverage includes primary care, dental, obstetrics and gynecology, and behavioral health services across Centerpoint Health sites serving Butler, Warren, and Hamilton counties in Ohio. The implementation impacts scheduling, patient access, front-desk and outreach team workflows, and care coordination by shifting certain outreach decisions from manual triage to model-informed prioritization.
Governance and process changes established by Centerpoint Health center on a feedback loop with the vendor to refine prediction behavior and on documenting reasons for missed appointments in the EHR to improve model inputs. Reported outcomes from the deployment are limited to the stated accuracy and show-rate improvement, and the implementation narrative centers on embedding predictive scores into daily scheduling and outreach operations rather than wholesale platform replacement.
|
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2015 | 2015 |
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Digital Advertising Platform | CRM |
|
2024 | 2024 |
|
|
|
|
|
Tag Management | CRM |
|
2020 | 2020 |
|
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2014 | 2014 |
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|---|---|---|---|---|---|---|
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| Date | Company | Status | Vendor | Product | Category | Market |
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