Radiology
Imagine putting the power of AI algorithms to work for radiologists to address the worklist management burden of their workflow.
Prioritizing cases is a delicate operation for radiologists and administrators. In an ideal scenario, cases would be distributed among the radiology team based on urgency, clinical expertise and prior experience with particular patients.
Challenge
Matching the right case to the right radiologist at the right time in multi-site imaging operations for efficient reading and enhanced patient care.
Solution
Results
Offers providers the ability to better manage the delivery of reports by matching radiologist strengths to the needs of the patient. This helps address both quality standards and volume of work so that service level agreements can be efficiently met.
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In complex, multi-site radiology enterprises, where different locations generate an ongoing stream of imaging cases – some urgent, some less urgent, and some highly specialized – it can be a challenge to manage the prioritization and delegation of cases to the radiologist best suited to read a particular exam, based on expertise or prior history.
64% of radiologists’ time is spent on non-interpretive tasks, according to the American College of Radiology1
Streamlining workflow is imperative, not only to deliver a high level of patient care, but also to address the very real challenge of radiologist burnout.
Burnout is a concern for radiologists …greater for diagnostic radiologists than all other physicians. Risk factors for burnout include inadequate training, work overload, lack of control, severe time constraints for work output, prolonged stress, introduction of many changes quickly….”2
Intelligent algorithms that automatically determine the best match can help deliver the right case to the right radiologist, based on their area of expertise, availability and current workload, including for academic and research institutions.
The ability to index multiple archives stored on disparate servers to automatically deliver the most urgent studies to the most qualified available radiologists can expedite reading and reporting so that appropriate treatment can be given as quickly as possible. This helps with balancing workload among radiologists, allowing the most relevant cases to be read first by the appropriate available subspecialist. It also helps with continuity of care since, when possible, the case can be routed to the radiologist who has already reviewed the prior exams for a given patient.
Addressing the imaging backlog caused by the COVID-19 pandemic will increase the number of studies that must be read. Prioritizing those studies is essential.
For example, when a patient with a sudden and acute headache is rushed into the emergency department, the CT scan demands immediate attention. AI algorithms* can detect an intracranial hemorrhage, which triggers the worklist to prioritize the case.
A smart worklist will move the exam to the top of the worklist for the most appropriate neuroradiologist. While the patient is still in the scanner, the radiologist reading the image can remotely connect to another specialist using native chat and screen-sharing to discuss the case in a secure digital environment.
A head of radiology in Europe has this to say about Radiology Workflow Orchestrator:
The radiologist is not only an ‘interpreter’ of images, but also a consultant for clinical activity. Freeing up useful and precious time for the radiologist means you can not only double the number of exams to be reported, but more and more allows radiologists to grow and also improve their professional life …. allowing for space and time with multidisciplinary teams; the role of the radiologist will be fundamental.”
Offers the ability to index multiple archives stored on disparate servers to automatically deliver the most urgent studies to the most relevant radiologists.
See the Philips Radiology Workflow Orchestrator in action.
Interested in learning more about how this solution can help address your workflow orchestration challenges?
1 Dhanoa D, Dhesi T, Burton D, Nicolaou S, Liang T. The evolving role of the radiologist: the Vancouver Workload Utilization Evaluation Study. 2013;10(10):764-769. DOI: doi.org/10.1016/j.jacr.2013.04.001. 2 Harolds J, et al. Burnout of radiologists: frequency, risk factors, and remedies: a report of the ACR commission on human resources. JACR. 2016;13(4):411-416. DOI: 10.1016/j.jacr.2015.11.003.
Results presented are for illustrative purposes only and are not predictive of actual results for your business.
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Challenge
Matching the right case to the right radiologist at the right time in multi-site imaging operations for efficient reading and enhanced patient care.
Solution
Results
Offers providers the ability to better manage the delivery of reports by matching radiologist strengths to the needs of the patient. This helps address both quality standards and volume of work so that service level agreements can be efficiently met.
What if your radiology systems were so intuitive and intelligent that your imaging teams got the image right the first time, every time?
學到更多What if radiologists could organize, review, analyze and report imaging studies using just one workspace?
學到更多What if your radiologists could significantly reduce their reporting time while increasing the value of the report?
學到更多What if your imaging team could access expert support for complex procedures and protocols whenever they need it?
學到更多
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