From F to A: How 1E helped the US Department of Veteran Affairs (VA) make the grade
Company Size
1,000+
Region
- America
Country
- United States
Product
- 1E AppClarity
- Microsoft Configuration Manager
- IBM BigFix
- VMware vCenter
Tech Stack
- Microsoft System Center Configuration Manager (SCCM)
- IBM BigFix Inventory
- ISO 19770-3 Compliant Entitlement Management
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
Technology Category
- Analytics & Modeling - Predictive Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
- Functional Applications - Enterprise Asset Management Systems (EAM)
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Business Operation
- Facility Management
Use Cases
- Asset Health Management (AHM)
Services
- Software Design & Engineering Services
- System Integration
- Training
About The Customer
The US Department of Veteran Affairs (VA) is a federal agency responsible for providing vital services to America's veterans. With one of the largest and most complex IT environments in the world, the VA manages over 500,000 unique computing resources, including mobile devices, medical devices, workstations, BYOD systems, servers, and clustered environments. The VA's IT infrastructure supports a wide range of services, from healthcare to administrative functions, making it critical to maintain efficient and compliant software management. The VA licenses and operates numerous inventory and management tools, including Microsoft’s Configuration Manager, IBM’s BigFix, and VMware’s vCenter, to manage its extensive IT assets. The agency's commitment to improving its IT operations is evident in its efforts to achieve a FITARA A rating for Software Licensing under the MEGABYTE Act.
The Challenge
The US Department of Veteran Affairs (VA) faced significant challenges in managing one of the largest and most complex IT environments globally. With over 500,000 unique computing resources, including mobile devices, medical devices, workstations, BYOD systems, servers, and clustered environments, the VA struggled with software discovery, deployment, and usage calculations. The complexity was further compounded by the need to handle virtualized and clustered environments, making software licensing and compliance a daunting task. The VA's goal was to achieve a consolidated, de-duplicated, and normalized view of their entire IT environment, which required managing at least 300 million records of input data from multiple sources. Conventional inventory and management tools were inadequate for the scale and complexity of the VA's environment, leading to fragmented data and inefficiencies.
The Solution
To address the challenges of managing its vast and complex IT environment, the VA implemented the 1E AppClarity solution. AppClarity is a Software Asset Management (SAM) tool designed to handle the volume and complexity of large IT environments. The solution enabled the VA to consolidate data from 20 different sources into a single pane of glass view, providing a comprehensive and normalized view of all software installations, usage, and licensing requirements. AppClarity's intelligent de-duplication and data validation capabilities ensured accurate and reliable data, while its ISO standards-based entitlement repository allowed the VA to track any license metric from any vendor for any product. The solution also provided drill-through reports for analyzing software installations in clustered and virtualized environments, making it easier to manage complex licensing scenarios. Additionally, AppClarity's ability to automatically uninstall unused software based on usage and organizational policies helped the VA reduce software licensing costs and improve cybersecurity.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Hospital Inventory Management
The hospital supply chain team is responsible for ensuring that the right medical supplies are readily available to clinicians when and where needed, and to do so in the most efficient manner possible. However, many of the systems and processes in use at the cancer center for supply chain management were not best suited to support these goals. Barcoding technology, a commonly used method for inventory management of medical supplies, is labor intensive, time consuming, does not provide real-time visibility into inventory levels and can be prone to error. Consequently, the lack of accurate and real-time visibility into inventory levels across multiple supply rooms in multiple hospital facilities creates additional inefficiency in the system causing over-ordering, hoarding, and wasted supplies. Other sources of waste and cost were also identified as candidates for improvement. Existing systems and processes did not provide adequate security for high-cost inventory within the hospital, which was another driver of cost. A lack of visibility into expiration dates for supplies resulted in supplies being wasted due to past expiry dates. Storage of supplies was also a key consideration given the location of the cancer center’s facilities in a dense urban setting, where space is always at a premium. In order to address the challenges outlined above, the hospital sought a solution that would provide real-time inventory information with high levels of accuracy, reduce the level of manual effort required and enable data driven decision making to ensure that the right supplies were readily available to clinicians in the right location at the right time.
Case Study
Gas Pipeline Monitoring System for Hospitals
This system integrator focuses on providing centralized gas pipeline monitoring systems for hospitals. The service they provide makes it possible for hospitals to reduce both maintenance and labor costs. Since hospitals may not have an existing network suitable for this type of system, GPRS communication provides an easy and ready-to-use solution for remote, distributed monitoring systems System Requirements - GPRS communication - Seamless connection with SCADA software - Simple, front-end control capability - Expandable I/O channels - Combine AI, DI, and DO channels
Case Study
Driving Digital Transformations for Vitro Diagnostic Medical Devices
Diagnostic devices play a vital role in helping to improve healthcare delivery. In fact, an estimated 60 percent of the world’s medical decisions are made with support from in vitrodiagnostics (IVD) solutions, such as those provided by Roche Diagnostics, an industry leader. As the demand for medical diagnostic services grows rapidly in hospitals and clinics across China, so does the market for IVD solutions. In addition, the typically high cost of these diagnostic devices means that comprehensive post-sales services are needed. Wanteed to improve three portions of thr IVD:1. Remotely monitor and manage IVD devices as fixed assets.2. Optimizing device availability with predictive maintenance.3. Recommending the best IVD solution for a customer’s needs.
Case Study
HaemoCloud Global Blood Management System
1) Deliver a connected digital product system to protect and increase the differentiated value of Haemonetics blood and plasma solutions. 2) Improve patient outcomes by increasing the efficiency of blood supply flows. 3) Navigate and satisfy a complex web of global regulatory compliance requirements. 4) Reduce costly and labor-intensive maintenance procedures.
Case Study
Harnessing real-time data to give a holistic picture of patient health
Every day, vast quantities of data are collected about patients as they pass through health service organizations—from operational data such as treatment history and medications to physiological data captured by medical devices. The insights hidden within this treasure trove of data can be used to support more personalized treatments, more accurate diagnosis and more advanced preparative care. But since the information is generated faster than most organizations can consume it, unlocking the power of this big data can be a struggle. This type of predictive approach not only improves patient care—it also helps to reduce costs, because in the healthcare industry, prevention is almost always more cost-effective than treatment. However, collecting, analyzing and presenting these data-streams in a way that clinicians can easily understand can pose a significant technical challenge.
