下载PDF
Massachusetts Medical Consortium Improves Administrative Operations and A-21 Reporting with ARCHIBUS
技术
- 分析与建模 - 预测分析
- 应用基础设施与中间件 - 数据交换与集成
- 功能应用 - 企业资产管理系统 (EAM)
- 网络与连接 - 网络管理和分析软件
适用行业
- 教育
- 医疗保健和医院
适用功能
- 商业运营
- 设施管理
用例
- 楼宇自动化与控制
- 建筑能源管理
- 预测性维护
- 智慧城市运营
服务
- 软件设计与工程服务
- 系统集成
- 培训
挑战
The University of Massachusetts Medical School (UMMS) and UMass Memorial Health Care faced the challenge of consolidating administrative operations such as space and lease management across their thirteen campuses. The existing manual processes for space surveys and campus mapping were time-consuming and error-prone. The organizations needed a centralized technology platform to manage nearly 8 million square feet of space, 146 owned and leased buildings, and almost 300 acres of land. The goal was to streamline data collection, improve data accuracy, and enhance overall operational efficiency.
关于客户
The University of Massachusetts Medical School (UMMS) and UMass Memorial Health Care are two interconnected entities that work together to train medical professionals and provide healthcare services. UMMS is a prominent medical school, while UMass Memorial Health Care is a clinical partner comprising five hospitals. Together, they operate across thirteen campuses in Massachusetts, which include academic buildings, research facilities, hospitals, health clinics, and administrative offices. The organizations are responsible for managing a large and growing patient base, as well as a significant amount of physical space and resources.
解决方案
To address the challenges, UMMS and UMass Memorial Health Care implemented a three-phase project using ARCHIBUS and ESRI's GIS solutions. The first phase involved implementing ARCHIBUS for space, lease, and move management. This was followed by the introduction of a GIS solution from ESRI for campus mapping. The final phase integrated the two platforms to create a comprehensive geospatial portal. The project began with collecting, verifying, and consolidating all space and map data, which was then linked to campus PeopleSoft and Infinium information. An online space inventory survey was developed to replace the manual paper-based survey, significantly reducing data collection time. The central ARCHIBUS data repository now integrates space data, floor plans, and other related information with PeopleSoft personnel and financial data. This integration has streamlined lease administration, move management, and campus mapping processes.
运营影响
数量效益
相关案例.
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.