Gateway Case Study
Glassbeam helps Gateway Diagnostic Imaging (GDI) increase machine uptime, increase its patient throughput, and save thousands of dollars in operational costs through preventive data driven actions.
- Asset Utilization Dashboard provides service engineers real-time utilization data across the entire fleet of imaging equipment
- Referral Physician Dashboard identifies physicians who are dropping out or entering new
- Machine Update Dashboard delivers multi-modality, multimanufacturer views
Glassbeam ClinsightsTM aids our preventive maintenance teams in critical decision making and implementing operational efficiencies in our imaging facilities. We needed a disruptive solution that gives us the predictive insights we need to reliably act on problems affecting machine downtime and referral network performance, which in turn enables us to quickly deliver faster imaging services to our patients when they need it, without a delay. Now, Clinsights helps us to focus on our priorities for the future, both in the imaging business and patient experiences.
Our customer, Gateway Diagnostic Imaging (GDI), is an independent imaging provider in Dallas, Texas area that continues to thrive in the highly competitive outpatient imaging market. GDI has over 7 outpatient imaging centers in the Dallas area that are constantly under pressure to optimize uptime and utilization of their imaging fleet. Its biggest competitive advantage is its ability to save hundreds of dollars for its patients per exam while offering superior quality of service.
Patient cost savings are attributed to the fact that GDI is not owned by a hospital network. To drive superior quality of service and patient care, in 2017 GDI embarked on an enterprisewide ‘data-driven initiative’. GDI sought to set a financial and operational course to leverage consumption and usage of analytics for its biomedical engineering teams with machine data analytics to achieve true predictive maintenance on the imaging machines as well as drive superior patient care through deep analysis of its physician referral networks.
GDI Challenge Summary
- Immersed in the highly competitive outpatient imaging market
- Sought to achieve true predictive maintenance on its imaging machines
- Aimed to drive superior patient care through deep analysis of its physician referral networks.
AI/ML Powered Analytics Solution
Our customer chose Glassbeam Clinsights™ as the Artificial Intelligence (AI)/Machine Learning (ML) powered cloud-based analytics solution to trap machine & environmental failures with the objective of increasing machine uptime from 98% to 99% at its imaging facilities.
Asset Utilization Dashboard
Clinsights provided their service engineers real-time utilization data across the entire fleet of imaging equipment by facility manufacturer type, procedure count and exam type. As a result, load balancing operational decisions became effective by identifying the facilities and machines that are under or overutilized. Also, GDI now has the ability to track utilization per machine and facility over time, to make effective capital expenditure decisions.
Referral Physician Dashboard
Clinsights provided a real-time referral physician dashboard that is drillable to find which physicians are dropping out, which ones are entering new – over time, by the facility, and exam type.
Machine Uptime Dashboard
Clinsights provided the single pane of glass for multi-modality, multimanufacturer views allowing clinical engineering groups to shift unplanned downtimes to planned maintenance windows, thereby saving valuable hours per machine for increased revenues and providing better patient care. Additionally, the application provides proactive and predictive alerts on anomalies and part failures based on a cloud-based platform powered by 100+ algorithms for MRI and CT scanners manufactured by GE Healthcare, Siemens Healthineers, and Phillips Healthcare.
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