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
Endroit courant :
>
> This Story


Ouverture ou Registre to rate this News Story
Forward Printable StoryPrint Comment
advertisement

 

advertisement

 

CT Homepage

FDA gives thumbs up for Canon's deep learning image reconstruction tech Suppresses noise and enhances signal for sharper images

SEC probes Siemens, GE and Philips over business with China Lawsuit alleges OEMs worked together to fix prices on medical equipment

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

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

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

Glassbeam's Clinical Engineering
Analytics (CLEAN) blueprint

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

par 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

La publicité d'email
Développez la notoriété de votre marque
Enchères + Ventes Privées
Obtenir le meilleur prix
Acheter des équipement / pièces
Trouver le meilleur prix
Infos du jour
Lire Les dernières nouvelles
Annuaire
Consulter tous les utilisateurs DOTmed
Éthique concernant DOTmed
Voir notre programme d'éthique
L'or partie le programme de fournisseur
Recevoir des demandes PH
Programme de marchand de service d'or
Recevoir des demandes
Fournisseurs de soins de santé
Voir tous les outils des HCP (abréviation pour les professionnels de la santé)
Jobs/Formation
Trouver / combler un poste
Parts Hunter +EasyPay
Obtenir des devis de pièces
Voir les utilisateurs récemment certifiés
Voir les utilisateurs récemment certifiés
Récemment évalué sur DOTmed
Voir les utilisateurs récemment certifiés
Central de location
Louer de l’équipement à moindre prix
Vendre des équipements / pièces
Obtenir le maximum d'argent
Service Technicians Forum
Trouver de l'aide et des conseils
Simple demande de propositions
Obtenir des devis pour des appareils
Expo Virtuelle
Trouver des services d'appareils
L'Access et l'utilisation de cet emplacement est sujet aux modalités et aux conditions du notre de nos MENTIONS LEGALES & DONNEES PERSONELLES
Propriété de et classe des propriétaires DOTmedà .com, inc. Copyright ©2001-2019 DOTmed.com, Inc.
TOUS DROITS RÉSERVÉS