Torrance, 90503, CA,
United States
South Bay Urology Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by South Bay Urology and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 200 South Bay Urology employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that South Bay Urology has purchased the following applications: MedChat for Chatbots and Conversational AI in 2019, Google Tag Manager for Tag Management in 2019 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems South Bay Urology is running and its propensity to invest more and deepen its relationship with MedChat , 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 South Bay Urology revenues, which have grown to $20.0 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 South Bay Urology 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 |
|---|---|---|---|---|---|---|---|---|
| MedChat | Legacy | MedChat | Chatbots and Conversational AI | AI-Powered Application | n/a | 2019 | 2019 |
In 2019 South Bay Urology deployed MedChat on its public website to provide patient-facing conversational support. MedChat is being used as a Chatbots and Conversational AI application to handle web-based patient engagement and appointment intake workflows.
The deployment centers on a web chat widget and conversational flows configured for healthcare use, including automated triage style questioning, appointment inquiry handling, and capture of preliminary patient intake information. MedChat was configured to surface scripted responses, route complex inquiries to staff, and capture contact details for follow up, reflecting standard Chatbots and Conversational AI module patterns for clinical practices.
Operational coverage focuses on patient access and front desk workflows, with the chat instance embedded on the practice website to intercept inbound patient queries and reduce manual handling of routine scheduling and information requests. The implementation scope is patient service oriented, affecting scheduling, front desk communication, and digital patient intake processes.
Governance emphasizes content and clinical response controls, with configuration practices that limit free form clinical advice and escalate identified clinical or urgent signals to human staff for review. MedChat is maintained as the primary conversational interface on the website, with ongoing tuning of conversational scripts and administrative controls to align chatbot behavior with patient intake and front office procedures.
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Tag Manager | Tag Management | CRM | n/a | 2019 | 2019 |
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