DOTmed Home MRI Oncology Ultrasound Molecular Imaging X-Ray Cardiology Health IT Business Affairs
News Home Parts & Service Operating Room CT Women's Health Proton Therapy Endoscopy HTMs Pediatrics
SEARCH
当前地点:
>
> This Story


注册记数器 to rate this News Story
Forward Printable StoryPrint Comment
advertisement

 

advertisement

 

CT Homepage

Study calls for better factoring-in of patient complexity in head CT scans Should consider complexity of associated billed patient encounters

FDA okays Philips' MR-only radiotherapy simulator, MRCAT pelvis Create treatment plans for bladder, rectal, anal and cervical cancer

Study shows 30 percent drop in unnecessary head CTs with BrainScope One May help ensure appropriate use of imaging

MR method could spare patients with skull lesions from CT, says study Could benefit children and pregnant women

FDA clears GE’s AI-based CT image reconstruction technology Available as upgrade to Revolution Apex scanner

First ultra high-res CT scan performed on US patient Scanner at UC Davis can image anatomy as small as 150 microns

Industrial hi-res X-ray yields greater insight into child abuse case Identified microscopic injuries that would not have been detected with standard CT

Trice Imaging connects imaging devices of large chain healthcare provider Aleris Patients and physicians can view images on laptops, cell phones

Reducing extravasations in CT contrast-enhanced IV injections Tips and best practices for administering better care

Researchers orchestrate malware attack to expose imaging vulnerabilities Deceived radiologists and AI algorithms into misdiagnoses

Glassbeam's Clinical Engineering
Analytics (CLEAN) blueprint

BSWH to install Glassbeam's CLEAN blueprint to leverage machine uptime

John R. Fischer , Staff Reporter
Baylor Scott & White Health, the largest healthcare integrated delivery network in Texas, will soon have the backing of machine learning and AI for predicting downtime and improving uptime of its imaging solutions, courtesy of a new partnership with machine data analytics provider Glassbeam.

The national top-tier IDN will utilize the vendor’s Clinical Engineering Analytics (CLEAN) blueprint to improve machine uptime and convert unplanned downtime into planned maintenance windows of the growing fleet of imaging and biomedical equipment under its clinical engineering group. Included in the installation will be the integrated hospital equipment management system of computerized maintenance management systems vendor EQ2.

Story Continues Below Advertisement

THE (LEADER) IN MEDICAL IMAGING TECHNOLOGY SINCE 1982. SALES-SERVICE-REPAIR

Special-Pricing Available on Medical Displays, Patient Monitors, Recorders, Printers, Media, Ultrasound Machines, and Cameras.This includes Top Brands such as SONY, BARCO, NDS, NEC, LG, EDAN, EIZO, ELO, FSN, PANASONIC, MITSUBISHI, OLYMPUS, & WIDE.



“With a diverse set of imaging fleet from multiple manufacturers like GE, Siemens, and Phillips, it is critical to have a single pane of glass to manage and predict alerts and failures for BSWH’s field workforce,” Puneet Pandit, CEO of Glassbeam, told HCB News. “Such a solution is only possible with a centralized data platform that normalizes all data and powers alerts and predictions based on expert rules and AI/ML algorithms.”

The CLEAN blueprint is the industry’s first multi-modality and multi-manufacturer IoT analytics solution, according to Glassbeam, and is expected to improve medical equipment uptime at BSWH by more than 99 percent, surpassing the industry standard of 96 to 97 percent.

Its installation reflects the growing interest in IoT technology in which connected machines are expected to power “Smart CMMS” software like that of EQ2. Such solutions act as a ticket management system that tracks issues, such as downtime, in a variety of devices, from syringe pumps to MR, CT and ultrasound systems.

Their use, however, is limited by a reliance on human-made data entry, an issue which EQ2 has sought to rectify by establishing a partnership with Glassbeam this past November at RSNA in Chicago.

Under the collaboration, Glassbeam’s machine learning capabilities will be integrated with EQ2’s Hospital Equipment Mangement System to validate the performance and log data of the machine, saving time and verifying the accuracy of findings faster.

“Instead of human intervention to create service tickets based on reactive calls from facility administrators, this joint solution will tap into machine data that will call home on a periodic basis (about every 15 minutes), act on rules, and open service tickets to make Baylor Health's service staff more proactive and predictive,” said Pandit. “In addition, integrating all service ticket data with the Glassbeam platform will create one single dashboard to track real time service metrics like mean time to resolution (MTTR) and mean time between failures (MTBF), among others.”

The basis of the BSWH-Glassbeam partnership is that combining machine logs with DICOM and HL7 data will drive dashboards in helping to acquire deep insights on utilization at machine and facility levels, not just for clinical engineering, but for radiology groups too, in the future.

The addition of Glassbeam’s software will also enable BSWH to build an expert system knowledge base of machine and part failures, and apply AI and machine learning to search error patterns, allowing it to form new rules for how to take proactive action when signs indicating the risk of unplanned downtimes appear.

The first phase of the installation will oversee the connecting of 90 CT and MR systems across 22 BSWH hospitals in Texas, after which it will expand to include other modalities and locations as the solution matures across a subset of facilities, creating a pervasive internet of medical of things application for BSWH.

CT Homepage


You Must Be Logged In To Post A Comment

做广告
提升您的品牌知名度
拍卖+私人销售
获得最好的价格
买设备/配件
找到最低价格
每日新闻
阅读最新信息
目录
浏览所有的DOTmed用户
DOTmed上的伦理
查看我们的伦理计划
金子分开供营商节目
接收PH要求
金子服务经销商节目
接收请求
提供保健服务者
查看所有的HCP(简称医疗保健提供商)的工具
工作/训练
查找/申请工作
Parts Hunter +EasyPay
获取配件报价
最近证明
查看最近通过认证的用户
最近额定
查看最近通过认证的用户
出租中央
租用设备优惠
卖设备/配件
得到最划算
服务技术员论坛
查找帮助和建议
简单的征求建议书
获取设备报价
真正商业展览
查找对设备的服务
对这个站点的通入和用途是受期限和条件我们支配 法律公告 & 保密性通知
物产和业主对 DOTmed.com,公司 Copyright ©2001-2019 DOTmed.com, Inc.
版权所有