Sam Brusco, Associate Editor06.08.22
GE Healthcare announced a new intelligent workload management system for its PACS solutions, integrated with Helix Radiology Performance Suite, developed by Q-IT (a subsidiary of Quantum Imaging & Therapeutic Associates), at the Society for Imaging Informatics in Medicine (SIIM) 2022 annual meeting.
The solution operates on predictive analytics and can optimize radiologists’ workflow across an enterprise for reading at peak efficiency, boosting radiology productivity and reducing burnout. It’s also engineered for more accurate prediction and distribution of workload, as well as fair measurement of performance against compensation.
Huge, complex exam lists, extreme study complexity variability, varying skillsets, contractual service level agreements, and variable location-specific service requirements make efficient workload distribution across the group difficult, which can result in burnout and “cherry-picking” for radiologists.
“A traditional radiology worklist is a complex, relatively static and filterable list of stat and non-stat exams,” Elizabeth Bergey, M.D., president and CEO, Quantum Imaging & Therapeutic Associates told the press. “Between each interpretation, radiologists spend valuable time, energy and angst selecting the next case. Ideally, every exam should be read by the most appropriate radiologist, but SLAs are an important constraint. With this intelligent workload management solution, enterprise equilibrium is achieved by intelligently prioritizing and dynamic exam assignment based on the real-time assessment of the active radiologist workforce, their skillsets and using novel exam complexity modifiers to help enable the right radiologist is reading the right exam at the right time. These advancements have allowed us to experience a rapid productivity increase of 15-22% that has been sustained1.”
Further, Quantum Imaging & Therapeutic Associates has seen:
“Radiologists are desperate for the latest tools to keep up with an ever-increasing case load. The new intelligent management workload uses predictive analytics to efficiently allocate case workload improving radiologists’ productivity, while providing more work and life balance,” said Nalinikanth Gollagunta, CEO, Enterprise Digital Solutions, GE Healthcare.
Reference
1 Based on internal studies by Quantum Imaging & Therapeutic Associates, Inc.
The solution operates on predictive analytics and can optimize radiologists’ workflow across an enterprise for reading at peak efficiency, boosting radiology productivity and reducing burnout. It’s also engineered for more accurate prediction and distribution of workload, as well as fair measurement of performance against compensation.
Huge, complex exam lists, extreme study complexity variability, varying skillsets, contractual service level agreements, and variable location-specific service requirements make efficient workload distribution across the group difficult, which can result in burnout and “cherry-picking” for radiologists.
“A traditional radiology worklist is a complex, relatively static and filterable list of stat and non-stat exams,” Elizabeth Bergey, M.D., president and CEO, Quantum Imaging & Therapeutic Associates told the press. “Between each interpretation, radiologists spend valuable time, energy and angst selecting the next case. Ideally, every exam should be read by the most appropriate radiologist, but SLAs are an important constraint. With this intelligent workload management solution, enterprise equilibrium is achieved by intelligently prioritizing and dynamic exam assignment based on the real-time assessment of the active radiologist workforce, their skillsets and using novel exam complexity modifiers to help enable the right radiologist is reading the right exam at the right time. These advancements have allowed us to experience a rapid productivity increase of 15-22% that has been sustained1.”
Further, Quantum Imaging & Therapeutic Associates has seen:
- 16.7% (from 18 min to 15 min) improvement in super STAT turnaround times (TAT)
- 20.5% (from 32.2 in to 25.6 min) improvement in STAT/ED TAT
- 4.8% (from 147.2 to 125.4 min average) improvement on inpatient TAT on exams distributed through the solution
- The percent of SLA exceptions across the practice for ED, inpatient and outpatient exams has been cut by over half, helping drive efficiency and lower cost
“Radiologists are desperate for the latest tools to keep up with an ever-increasing case load. The new intelligent management workload uses predictive analytics to efficiently allocate case workload improving radiologists’ productivity, while providing more work and life balance,” said Nalinikanth Gollagunta, CEO, Enterprise Digital Solutions, GE Healthcare.
Reference
1 Based on internal studies by Quantum Imaging & Therapeutic Associates, Inc.