Use of Radiology Data Mining Tool Reduces Length of Stay for CT Biopsy
By MedImaging International staff writers Posted on 19 Nov 2014 |
Use of a data and analysis tool allows radiology clinical coordinators to facilitate a patient-centered imaging service, acting as a care manager for patients with positive findings on their computed tomography (CT) scans.
Syed F. Zaidi, MD, president of Radiology Associates of Canton (RAC; OH, USA) and chief executive officer of RadHelp, LLC (Canton, OH, USA) announced that his group, along with hospital personnel at Aultman Hospital (Canton, OH, USA), has reduced patient length of stay (LOS) by three days for inpatients recommended for CT biopsy. Dr. Zaidi presented these findings at the inaugural Montage User Group meeting at the University City Science Center (Philadelphia, PA, USA) in November 2014. Using Montage (Philadelphia, PA, USA) Search and Analytics systems, key performance indicators (KPIs) were found and patients were identified and tracked to assure timely and appropriate follow-up care. Use of these data and analysis tool allows a radiology clinical coordinator to facilitate a patient-centered imaging service, acting as a care manager for patients with positive findings on their CT examinations.
“We have entered into a co-management arrangement with Aultman Hospital through formal shared governance of the imaging service line,” said Dr. Zaidi. “Central to this arrangement is a focus on the patient and we’ve jointly developed and agreed on the performance metrics for the radiology department and the radiologists that contribute to patient-centric care.”
RAC serves Aultman Hospital and a residency program as well as three community hospitals and offsite locations with 25 radiologists performing 550,000 yearly procedures. “We feel strongly that our patient-centered radiology and co-management model adds significant measurable and lasting value to the healthcare delivery value chain and fits in well with the American College of Radiology Imaging 3.0 initiative,” commented Dr. Zaidi.
Radiology’s contribution to the reduction in LOS for these patients is manifested in a reduced time of diagnosis to biopsy procedure order from 71 to 29 hours; order to biopsy completion from 52 to 21 hours, and overall diagnosis to completion of procedure from 133 to 50 hours. They are now using Montage Search and Analytics’ capabilities for data mining and analysis to optimize non-displaced hip fracture assessment in the elderly, osteoporotic patient population and analysis of CT angiography for the diagnosis of pulmonary embolism in the emergency department (ED).
“I feel RAC’s and RadHelp’s use of data mining and analysis is a powerful demonstration of the opportunities for radiologists to demonstrate and quantify their value in care delivery,” said William Boonn MD, president of Montage Healthcare Solutions, Inc. “It’s an equally powerful demonstration of how increased value becomes a competitive differentiator.”
The radiology community is facing many challenges and must adopt tools that facilitate the transition from volume-based to value-based imaging. To fulfill the Imaging 3.0 imperative, radiologists must address productivity demands while simultaneously adding clinical value to patient care. Montage Healthcare Solutions developed the Montage Search and Analytics tool, which provides the radiology productivity, quality, and safety improvement tools that the company spokespersons stated will be key for ongoing success. Meaningful and actionable quality, outcomes, patient safety and productivity understanding can be extracted from the unstructured radiology narrative in your radiology information system (RIS) and electronic medical record (EMR). Complex clinical quality questions can be easily answered, while the customizable analytics tools speed assessment of business performance and clinical quality. The derived intelligence enables competitive dominance through superior services and enhanced revenue, while enabling radiologists to be appreciated as valued participants in improved care delivery.
RadHelp, LLC was established to provide assistance to radiology groups, private clinics and health care systems with the development of new radiology strategies in the changing health care landscape, particularly in line with the ACR initiative of Imaging 3.0. These strategies include risk based co-management strategies, radiology population health management, utilization management, and physician and employee engagement services. Dr. Syed Zaidi has been nationally recognized as an innovator in radiology co-management services and a pioneer in radiology population management strategies; as well as a leader in implementing Imaging 3.0. RadHelp combines clinical innovation, information systems, and business acumen to create an environment transforming volume to value in radiology.
Related Links:
RadHelp
Montage
Syed F. Zaidi, MD, president of Radiology Associates of Canton (RAC; OH, USA) and chief executive officer of RadHelp, LLC (Canton, OH, USA) announced that his group, along with hospital personnel at Aultman Hospital (Canton, OH, USA), has reduced patient length of stay (LOS) by three days for inpatients recommended for CT biopsy. Dr. Zaidi presented these findings at the inaugural Montage User Group meeting at the University City Science Center (Philadelphia, PA, USA) in November 2014. Using Montage (Philadelphia, PA, USA) Search and Analytics systems, key performance indicators (KPIs) were found and patients were identified and tracked to assure timely and appropriate follow-up care. Use of these data and analysis tool allows a radiology clinical coordinator to facilitate a patient-centered imaging service, acting as a care manager for patients with positive findings on their CT examinations.
“We have entered into a co-management arrangement with Aultman Hospital through formal shared governance of the imaging service line,” said Dr. Zaidi. “Central to this arrangement is a focus on the patient and we’ve jointly developed and agreed on the performance metrics for the radiology department and the radiologists that contribute to patient-centric care.”
RAC serves Aultman Hospital and a residency program as well as three community hospitals and offsite locations with 25 radiologists performing 550,000 yearly procedures. “We feel strongly that our patient-centered radiology and co-management model adds significant measurable and lasting value to the healthcare delivery value chain and fits in well with the American College of Radiology Imaging 3.0 initiative,” commented Dr. Zaidi.
Radiology’s contribution to the reduction in LOS for these patients is manifested in a reduced time of diagnosis to biopsy procedure order from 71 to 29 hours; order to biopsy completion from 52 to 21 hours, and overall diagnosis to completion of procedure from 133 to 50 hours. They are now using Montage Search and Analytics’ capabilities for data mining and analysis to optimize non-displaced hip fracture assessment in the elderly, osteoporotic patient population and analysis of CT angiography for the diagnosis of pulmonary embolism in the emergency department (ED).
“I feel RAC’s and RadHelp’s use of data mining and analysis is a powerful demonstration of the opportunities for radiologists to demonstrate and quantify their value in care delivery,” said William Boonn MD, president of Montage Healthcare Solutions, Inc. “It’s an equally powerful demonstration of how increased value becomes a competitive differentiator.”
The radiology community is facing many challenges and must adopt tools that facilitate the transition from volume-based to value-based imaging. To fulfill the Imaging 3.0 imperative, radiologists must address productivity demands while simultaneously adding clinical value to patient care. Montage Healthcare Solutions developed the Montage Search and Analytics tool, which provides the radiology productivity, quality, and safety improvement tools that the company spokespersons stated will be key for ongoing success. Meaningful and actionable quality, outcomes, patient safety and productivity understanding can be extracted from the unstructured radiology narrative in your radiology information system (RIS) and electronic medical record (EMR). Complex clinical quality questions can be easily answered, while the customizable analytics tools speed assessment of business performance and clinical quality. The derived intelligence enables competitive dominance through superior services and enhanced revenue, while enabling radiologists to be appreciated as valued participants in improved care delivery.
RadHelp, LLC was established to provide assistance to radiology groups, private clinics and health care systems with the development of new radiology strategies in the changing health care landscape, particularly in line with the ACR initiative of Imaging 3.0. These strategies include risk based co-management strategies, radiology population health management, utilization management, and physician and employee engagement services. Dr. Syed Zaidi has been nationally recognized as an innovator in radiology co-management services and a pioneer in radiology population management strategies; as well as a leader in implementing Imaging 3.0. RadHelp combines clinical innovation, information systems, and business acumen to create an environment transforming volume to value in radiology.
Related Links:
RadHelp
Montage
Latest Imaging IT News
- New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
- Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
- AI-Based Mammography Triage Software Helps Dramatically Improve Interpretation Process
- Artificial Intelligence (AI) Program Accurately Predicts Lung Cancer Risk from CT Images
- Image Management Platform Streamlines Treatment Plans
- AI-Based Technology for Ultrasound Image Analysis Receives FDA Approval
- AI Technology for Detecting Breast Cancer Receives CE Mark Approval
- Digital Pathology Software Improves Workflow Efficiency
- Patient-Centric Portal Facilitates Direct Imaging Access
- New Workstation Supports Customer-Driven Imaging Workflow
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 moreMRI
view channel
New MRI Technique Reveals Hidden Heart Issues
Traditional exercise stress tests conducted within an MRI machine require patients to lie flat, a position that artificially improves heart function by increasing stroke volume due to gravity-driven blood... Read more
Shorter MRI Exam Effectively Detects Cancer in Dense Breasts
Women with extremely dense breasts face a higher risk of missed breast cancer diagnoses, as dense glandular and fibrous tissue can obscure tumors on mammograms. While breast MRI is recommended for supplemental... 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 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