Closed Loop Imaging Research Trial To Integrate Data with Imaging Systems
By MedImaging International staff writers Posted on 31 Dec 2008 |
A first-of-kind closed loop imaging research trial has been initiated with the intention of taking a holistic view of radiology workflow and integrate information systems together with imaging systems to remove inefficiency at all points within the imaging loop. The so-called imaging loop clock starts when the physician decides to order an imaging exam and ends when the results of the test are communicated to the physician and eventually the patient.
Philips Medical Systems (Best, The Netherlands) is partnering with the University of Chicago Medical Center (UCMC; IL, USA) on the ongoing imaging research trial. Led by Paul J. Chang, M.D., medical director, Enterprise Imaging for University of Chicago Hospitals, UCMC has initiated this iterative study with the goal of reducing errors and improving quality of care and patient outcomes. Together with Philips, UCMC is integrating the technologies used throughout the radiology suite so they "talk” to each other across a smart, automated, and open platform, seeking to streamline imaging procedure steps to save minutes, not seconds, during the entire imaging loop. Helping to improve efficiency of radiology workflow may help UCMC reduce patient waiting time, repeat scans and the time needed for appointments.
”To stay relevant in healthcare, we simply can't keep using the same workflow model,” said Dr. Chang. "Radiologists need to provide the highest quality diagnostic results to the patient's physician while obtaining the best images on the first scan, every time, without compromising patient care. This requires an orchestrated workflow that can only be achieved if all systems used in the imaging loop are integrated and provide an interface allowing information to flow seamlessly from one step to the next, minimizing inefficient and potentially distracting busy work for the radiologists and technicians.”
"Any imaging company can provide clinicians with a scanner or technology to store and distribute images. But at Philips, we strive to offer a range of meaningful innovations that can work together to help physicians, nurses, and technologists provide the best possible patient care and further improve healthcare,” said Steve Rusckowski, CEO, Philips Healthcare. "Evident from our comprehensive healthcare portfolio, Philips offers customers an intelligent and integrated platform, that will help hospitals solve workflow problems and improve patient care.”
As a first necessary step of the research trial process, Philips and UCMC have successfully identified major bottlenecks and nonessential steps in the imaging loop, and have determined the right Philips technologies to help solve the inefficiencies facing radiologists and technologists. During this initial research phase, UCMC replaced the current paper-based computed tomography (CT) protocol system--manual entry of a list of images requested, as well as contrast and dose requirements--with an automated electronic patient protocol system which uses a Philips tablet personal computer (PC) for wireless access to relevant patient and scanning protocol information.
Protocol settings are automatically communicated to the CT scanner, simplifying CT scanning by sending all relevant clinical information and protocol definition without requiring manual entry. Event-driven alerts provide updates throughout the entire imaging process and notify radiology staff when images are ready for processing. Overall, the radiology department was able to eliminate nonessential work and paper trails. Upcoming iterations of this project will seek to incorporate additional, customized systems that directly address the bottlenecks identified in the imaging process.
Related Links:
Philips Medical Systems
University of Chicago Medical Center
Philips Medical Systems (Best, The Netherlands) is partnering with the University of Chicago Medical Center (UCMC; IL, USA) on the ongoing imaging research trial. Led by Paul J. Chang, M.D., medical director, Enterprise Imaging for University of Chicago Hospitals, UCMC has initiated this iterative study with the goal of reducing errors and improving quality of care and patient outcomes. Together with Philips, UCMC is integrating the technologies used throughout the radiology suite so they "talk” to each other across a smart, automated, and open platform, seeking to streamline imaging procedure steps to save minutes, not seconds, during the entire imaging loop. Helping to improve efficiency of radiology workflow may help UCMC reduce patient waiting time, repeat scans and the time needed for appointments.
”To stay relevant in healthcare, we simply can't keep using the same workflow model,” said Dr. Chang. "Radiologists need to provide the highest quality diagnostic results to the patient's physician while obtaining the best images on the first scan, every time, without compromising patient care. This requires an orchestrated workflow that can only be achieved if all systems used in the imaging loop are integrated and provide an interface allowing information to flow seamlessly from one step to the next, minimizing inefficient and potentially distracting busy work for the radiologists and technicians.”
"Any imaging company can provide clinicians with a scanner or technology to store and distribute images. But at Philips, we strive to offer a range of meaningful innovations that can work together to help physicians, nurses, and technologists provide the best possible patient care and further improve healthcare,” said Steve Rusckowski, CEO, Philips Healthcare. "Evident from our comprehensive healthcare portfolio, Philips offers customers an intelligent and integrated platform, that will help hospitals solve workflow problems and improve patient care.”
As a first necessary step of the research trial process, Philips and UCMC have successfully identified major bottlenecks and nonessential steps in the imaging loop, and have determined the right Philips technologies to help solve the inefficiencies facing radiologists and technologists. During this initial research phase, UCMC replaced the current paper-based computed tomography (CT) protocol system--manual entry of a list of images requested, as well as contrast and dose requirements--with an automated electronic patient protocol system which uses a Philips tablet personal computer (PC) for wireless access to relevant patient and scanning protocol information.
Protocol settings are automatically communicated to the CT scanner, simplifying CT scanning by sending all relevant clinical information and protocol definition without requiring manual entry. Event-driven alerts provide updates throughout the entire imaging process and notify radiology staff when images are ready for processing. Overall, the radiology department was able to eliminate nonessential work and paper trails. Upcoming iterations of this project will seek to incorporate additional, customized systems that directly address the bottlenecks identified in the imaging process.
Related Links:
Philips Medical Systems
University of Chicago Medical Center
Latest MRI News
- Simple Brain Scan Diagnoses Parkinson's Disease Years Before It Becomes Untreatable
- Cutting-Edge MRI Technology to Revolutionize Diagnosis of Common Heart Problem
- New MRI Technique Reveals True Heart Age to Prevent Attacks and Strokes
- AI Tool Predicts Relapse of Pediatric Brain Cancer from Brain MRI Scans
- AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
- Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
- AI-Powered MRI Technology Improves Parkinson’s Diagnoses
- Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
- First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
- New Model Improves Comparison of MRIs Taken at Different Institutions
- Groundbreaking New Scanner Sees 'Previously Undetectable' Cancer Spread
- First-Of-Its-Kind Tool Analyzes MRI Scans to Measure Brain Aging
- AI-Enhanced MRI Images Make Cancerous Breast Tissue Glow
- AI Model Automatically Segments MRI Images
- New Research Supports Routine Brain MRI Screening in Asymptomatic Late-Stage Breast Cancer Patients
- Revolutionary Portable Device Performs Rapid MRI-Based Stroke Imaging at Patient's Bedside
Channels
Radiography
view channel
Machine Learning Algorithm Identifies Cardiovascular Risk from Routine Bone Density Scans
A new study published in the Journal of Bone and Mineral Research reveals that an automated machine learning program can predict the risk of cardiovascular events and falls or fractures by analyzing bone... Read more
AI Improves Early Detection of Interval Breast Cancers
Interval breast cancers, which occur between routine screenings, are easier to treat when detected earlier. Early detection can reduce the need for aggressive treatments and improve the chances of better outcomes.... Read more
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read moreUltrasound
view channel
New Incision-Free Technique Halts Growth of Debilitating Brain Lesions
Cerebral cavernous malformations (CCMs), also known as cavernomas, are abnormal clusters of blood vessels that can grow in the brain, spinal cord, or other parts of the body. While most cases remain asymptomatic,... Read more.jpeg)
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read moreNuclear Medicine
view channel
New Imaging Approach Could Reduce Need for Biopsies to Monitor Prostate Cancer
Prostate cancer is the second leading cause of cancer-related death among men in the United States. However, the majority of older men diagnosed with prostate cancer have slow-growing, low-risk forms of... Read more
Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors
Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... Read moreGeneral/Advanced Imaging
view channel
First-Of-Its-Kind Wearable Device Offers Revolutionary Alternative to CT Scans
Currently, patients with conditions such as heart failure, pneumonia, or respiratory distress often require multiple imaging procedures that are intermittent, disruptive, and involve high levels of radiation.... Read more
AI-Based CT Scan Analysis Predicts Early-Stage Kidney Damage Due to Cancer Treatments
Radioligand therapy, a form of targeted nuclear medicine, has recently gained attention for its potential in treating specific types of tumors. However, one of the potential side effects of this therapy... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more