New Canton, 23123, VA,
United States
Central Virginia Health Services (CVHS) Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Central Virginia Health Services (CVHS) and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 500 Central Virginia Health Services (CVHS) employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Central Virginia Health Services (CVHS) has purchased the following applications: Sunoh AI for Natural Language Processing in 2024, Microsoft 365 for Collaboration in 2015, Google Tag Manager for Tag Management in 2022 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Central Virginia Health Services (CVHS) is running and its propensity to invest more and deepen its relationship with Sunoh AI , Microsoft , Google 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 Central Virginia Health Services (CVHS) revenues, which have grown to $65.0 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 Central Virginia Health Services (CVHS) 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.
AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Sunoh AI | Legacy | Sunoh AI | Natural Language Processing | AI-Powered Application | n/a | 2024 | 2024 |
In 2024, Central Virginia Health Services (CVHS) deployed Sunoh AI, a Natural Language Processing application, to automate clinical documentation workflows across its 126-provider ambulatory network. The implementation centers on Sunoh AI as an AI medical scribe to complete notes by the end of each day, positioning Central Virginia Health Services Sunoh AI Natural Language Processing clinical documentation as the primary tool for closing charts in the ambulatory setting.
The deployment implements Sunoh AI capabilities for ambient listening and automated note generation, producing multimodal notes and traditional SOAP notes, and rapidly generating concise History of Present Illness content. Functional workflows include pre-visit note preparation, in-visit capture of clinician-patient conversations, and post-visit note finalization, with the AI recognizing and applying clinical terminology to elevate documentation quality.
Sunoh AI integrates directly with the eClinicalWorks EHR environment through the eClinicalTouch 4 app on any device, embedding into provider workflows with a single-click activation and requiring no additional hardware. The technical approach is EHR-agnostic by design, but in this deployment the integration conduit is eClinicalWorks, enabling generated notes to populate the ambulatory EHR and align with existing charting and billing flows.
Operational coverage includes medical, dental, behavioral health, and other clinical service lines where providers document encounters, and the rollout emphasized rapid user adoption with minimal training. Governance and process changes focused on shifting end-of-day documentation tasks back into the clinic, standardizing HPI and note structure, and replacing a prior AI scribe that failed to meet clinical needs.
Reported outcomes from the implementation include consistent end-of-day completion of documentation, measurable time savings for providers, the ability for clinicians to see an average of 3-5 additional patients per day as reported by providers, and reductions in after-hours documentation and physician burnout. The Sunoh AI integration with eClinicalWorks enabled the health center to streamline clinical workflows and improve documentation quality without introducing new devices or extensive retraining.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2015 | 2015 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Tag Manager | Tag Management | CRM | n/a | 2022 | 2022 |
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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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2023 | 2023 |
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Application Hosting and Computing Services | IaaS |
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2015 | 2015 |
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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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