Bethesda, 20892, MD,
United States
NIH Clinical Center Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by NIH Clinical Center and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 2744 NIH Clinical Center employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that NIH Clinical Center has purchased the following applications: Akamai CDN for Content Delivery Network in 2025, SCC SoftLab for Laboratory Management in 2025 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems NIH Clinical Center is running and its propensity to invest more and deepen its relationship with Akamai , SCC Soft Computer 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 NIH Clinical Center revenues, which have grown to $400.0 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 NIH Clinical Center 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.
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Akamai | Legacy | Akamai CDN | Content Delivery Network | IaaS | n/a | 2025 | 2025 |
ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| SCC Soft Computer | Legacy | SCC SoftLab | Laboratory Management | ERP Services and Operations | n/a | 2025 | 2025 | In 2025, NIH Clinical Center implemented SCC SoftLab within the Laboratory Management category for the Department of Laboratory Medicine. The deployment is positioned to support clinical laboratory operations across the NIH campus and is operated with technical, interface, and project management support from the Department of Clinical Research Informatics (DCRI). SCC SoftLab was configured to deliver core laboratory management capabilities typical of an enterprise Laboratory Management application, including specimen accessioning and tracking, test ordering and result reporting, configurable test catalogs, quality control tracking, and instrument interfacing to automate result capture. The implementation emphasizes result validation and reporting workflows, barcode-driven sample management, and configurable laboratory business rules to align with clinical diagnostic processes. Integration work is managed by DCRI and includes interface connections to departmental clinical systems referenced by the Clinical Information Systems portfolio, notably lab requests and Diagnostic Radiology systems such as the Radiology Information System RIS and Picture Archiving and Communications System PACS, as well as transfusion systems referenced as the Blood Bank System SoftBank and perioperative systems identified as POIS SIS. Interfaces are described as part of an enterprise clinical application fabric, enabling test order routing and result exchange between SCC SoftLab and adjacent departmental systems. Operational governance for SCC SoftLab is centralized through DCRI in collaboration with Department of Laboratory Medicine leadership, combining project management, technical operations, and interface stewardship. Rollout and operationalization emphasize laboratory workflow alignment, test validation governance, and coordination with departmental clinical systems teams to manage interfaces and ongoing configuration changes. |
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