Beaumont, 77702, TX,
United States
Beaumont Internal Medicine and Geriatric Associates Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Beaumont Internal Medicine and Geriatric Associates and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 90 Beaumont Internal Medicine and Geriatric Associates employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Beaumont Internal Medicine and Geriatric Associates has purchased the following applications: Sunoh AI for Natural Language Processing in 2024, Google Workspace (Formerly Google G-Suite) for Collaboration in 2013, Google Cloud Platform (GCP) for Application Hosting and Computing Services in 2021 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Beaumont Internal Medicine and Geriatric Associates is running and its propensity to invest more and deepen its relationship with Sunoh AI , 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 Beaumont Internal Medicine and Geriatric Associates revenues, which have grown to $9.0 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 Beaumont Internal Medicine and Geriatric Associates 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 Beaumont Internal Medicine and Geriatric Associates implemented Sunoh AI, a Natural Language Processing application, to automate conversion of patient conversations into structured clinical documentation. The deployment targeted ambulatory clinical workflows across the practice areas of primary care, sleep medicine, geriatric medicine, and aesthetics, aligning the application with routine patient encounters and provider documentation responsibilities.
Sunoh AI was configured to perform ambient listening and real time transcription, converting patient provider dialogue into multimodal clinical notes and traditional SOAP content. The implementation emphasized automated placement of content into the appropriate sections of the electronic record, supporting documentation capture, clinical note assembly, and encounter summarization as core functional capabilities of the Natural Language Processing application.
Integration was executed with the eClinicalWorks EHR through the eClinicalTouch 4 app, enabling Sunoh AI to add generated documentation directly into the eClinicalWorks workflow on any device. The integration model reflects an EHR agnostic design intent while specifically instrumenting data flow into eClinicalWorks, preserving the practice s existing clinical record structure and charting locations.
Operationally the rollout changed point of care documentation practices by shifting transcription tasks into an AI assisted capture process, allowing providers to complete notes on the same day of service rather than delaying documentation. Governance centered on embedding the AI scribed notes into established clinical workflows and verifying placement of content within eClinicalWorks chart sections to maintain clinical and documentation consistency.
Reported outcomes from the implementation include significant time savings for providers, with onsite clinicians noting up to an hour saved in daily documentation, reduced administrative burden, and improved encounter focus and documentation quality. Sunoh AI enabled Beaumont providers to concentrate more on clinical decision making during visits while the Natural Language Processing application handled persistent documentation tasks.
|
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2013 | 2013 |
|
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Cloud Platform (GCP) | Application Hosting and Computing Services | IaaS | n/a | 2021 | 2021 |
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