Staunton, 24401, VA,
United States
Shenandoah Dermatology Technographics
Shenandoah Dermatology Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Shenandoah Dermatology and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 30 Shenandoah Dermatology employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Shenandoah Dermatology has purchased the following applications: Relatient Scheduling & Engagement Platform for Patient Management in 2025, Internet Brands Ngage for Chatbots and Conversational AI in 2016, RepuGen CommentWiz for Survey and Questionnaire 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 Shenandoah Dermatology is running and its propensity to invest more and deepen its relationship with Relatient , Internet Brands , RepuGen 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 Shenandoah Dermatology revenues, which have grown to $4.0 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 Shenandoah Dermatology 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.
Shenandoah Dermatology Tech Stack and Enterprise Applications
Shenandoah Dermatology ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Relatient | Legacy | Relatient Scheduling & Engagement Platform | Patient Management | ERP Services and Operations | n/a | 2025 | 2025 |
In 2025 Shenandoah Dermatology implemented Relatient Scheduling & Engagement Platform for Patient Management on its website. The Relatient Scheduling & Engagement Platform is deployed as a cloud hosted scheduling and patient engagement layer embedded into the clinic website, accessible to front desk staff and clinicians and surfaced to patients through online booking flows.
Implementation scope centers on online appointment booking, automated appointment reminders, two way patient messaging, and web based intake and check in workflows consistent with Patient Management functionality. Configuration work included defining appointment types and durations, provider availability blocks, routing rules for new versus established patients, and role based access controls for administrative and clinical users.
Operational coverage is practice wide within the United States based clinic, touching front desk operations, provider scheduling, and patient services. The deployment uses website embedding and cloud orchestration to manage real time appointment availability and outbound patient communications, with API enabled endpoints supporting scheduling orchestration and message delivery workflows.
Governance was established through an administrative portal for scheduling policies, message template management, patient consent handling, and staff permissions, with phased rollout to administrative personnel followed by clinicians. The narrative reflects a compact, clinic focused adoption of Relatient Scheduling & Engagement Platform for Patient Management, oriented around improving online booking and patient engagement workflows without reference to external implementation partners.
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Shenandoah Dermatology AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Internet Brands | Legacy | Internet Brands Ngage | Chatbots and Conversational AI | AI-Powered Application | n/a | 2016 | 2016 |
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Shenandoah Dermatology Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| RepuGen | Legacy | RepuGen CommentWiz | Survey and Questionnaire | Collaboration | n/a | 2019 | 2019 |
In 2019, Shenandoah Dermatology implemented RepuGen CommentWiz, a Survey and Questionnaire application, to automate patient satisfaction surveys and online review management. The deployment was focused on patient experience and CRM workflows at the western Virginia practice, targeting front office staff, clinical teams, and provider review monitoring processes.
RepuGen CommentWiz was configured to send automated post visit surveys, capture sentiment analysis from patient responses, and trigger review requests or service recovery steps based on survey signals. Implemented functional capabilities included patient satisfaction survey orchestration, sentiment analysis driven routing for follow up, review generation and monitoring, and automated staff notifications for timely service recovery.
Survey and review workflows were embedded into the practice patient experience and CRM processes, with operational ownership assigned to front desk and patient experience staff and phased rollout across patient cohorts. Outcomes reported by the practice included a 970% increase in patient reviews and a 25% improvement in average star rating, reflecting the combined effects of automated survey cadence, sentiment aware routing, and timely review monitoring and service recovery.
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Shenandoah Dermatology Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Content Management | Content Management |
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2018 | 2018 |
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Video Editing | Content Management |
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2023 | 2023 |
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Web Content Management | Content Management |
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2022 | 2022 |
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Shenandoah Dermatology CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Customer Experience | CRM |
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2019 | 2019 |
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Listing Management | CRM |
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2019 | 2019 |
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Marketing Analytics | CRM |
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2016 | 2016 |
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Marketing Automation | CRM |
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2021 | 2021 |
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Tag Management | CRM |
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2022 | 2022 |
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Shenandoah Dermatology ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Performance Management | ITSM |
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2022 | 2022 |
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Shenandoah Dermatology PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Apps Development | PaaS |
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2015 | 2015 |
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Shenandoah Dermatology 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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2015 | 2015 |
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Application Hosting and Computing Services | IaaS |
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2016 | 2016 |
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Content Delivery Network | IaaS |
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2025 | 2025 |
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Domain Name System (DNS) | IaaS |
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2015 | 2015 |
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Domain Name System (DNS) | IaaS |
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2017 | 2017 |
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Domain Name System (DNS) | IaaS |
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2019 | 2019 |
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Shenandoah Dermatology CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Security (AppSec) | CyberSecurity |
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2018 | 2018 |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2015 | 2015 |
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Secure Sockets Layer (SSL) | CyberSecurity |
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2017 | 2017 |
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IT Decision Makers and Key Stakeholders at Shenandoah Dermatology
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Shenandoah Dermatology Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||