Study Shows Electronic HIE Could Save Billions in Healthcare Costs
|
By MedImaging International staff writers Posted on 27 Sep 2017 |

Image: A graphic portraying the value of Healthcare Information Exchanges (HIE) (Photo courtesy of HIMSS).
The results of a US study have shown that investing in healthcare Information Technology (IT) could lead to healthcare spending reductions in the billions of dollars, in the US alone.
According to the researchers, Health Information Exchanges (HIEs), which enable healthcare providers and hospitals to exchange and share medical data, are now showing their promised value to the healthcare systems.
The study was carried out by IT researchers at the University of Notre Dame Mendoza College of Business (Notre Dame, IN, USA), and at the University of California San Francisco (UCSF; San Francisco, CA, USA), and was published in April 16, 2017, in the SSRN eLibrary.
The researchers used data from 2003 to 2009, and compared average spending in health care markets with and without operational HIEs. They then analyzed the data they collected using a number of econometric metrics such as patient demographics, and economic factors. Hospitals use HIEs to efficiently exchange medical data, avoiding manual mailing, photocopying, and faxing of medical records. The researchers showed massive cost savings when HIEs were implemented in regional markets, leading to planning for nation-wide implementations in the US.
IT professor, Corey Angst, at the University of Notre Dame, said, "We realize the HIE model is not static -- new vendor-driven models are emerging as market dynamics change. What we show is that the ability to electronically exchange medical data can result in savings in the overall health system, which should encourage new models of exchange.
Related Links:
University of Notre Dame Mendoza College of Business
University of California San Francisco
According to the researchers, Health Information Exchanges (HIEs), which enable healthcare providers and hospitals to exchange and share medical data, are now showing their promised value to the healthcare systems.
The study was carried out by IT researchers at the University of Notre Dame Mendoza College of Business (Notre Dame, IN, USA), and at the University of California San Francisco (UCSF; San Francisco, CA, USA), and was published in April 16, 2017, in the SSRN eLibrary.
The researchers used data from 2003 to 2009, and compared average spending in health care markets with and without operational HIEs. They then analyzed the data they collected using a number of econometric metrics such as patient demographics, and economic factors. Hospitals use HIEs to efficiently exchange medical data, avoiding manual mailing, photocopying, and faxing of medical records. The researchers showed massive cost savings when HIEs were implemented in regional markets, leading to planning for nation-wide implementations in the US.
IT professor, Corey Angst, at the University of Notre Dame, said, "We realize the HIE model is not static -- new vendor-driven models are emerging as market dynamics change. What we show is that the ability to electronically exchange medical data can result in savings in the overall health system, which should encourage new models of exchange.
Related Links:
University of Notre Dame Mendoza College of Business
University of California San Francisco
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
AI Generates Future Knee X-Rays to Predict Osteoarthritis Progression Risk
Osteoarthritis, a degenerative joint disease affecting over 500 million people worldwide, is the leading cause of disability among older adults. Current diagnostic tools allow doctors to assess damage... Read more
AI Algorithm Uses Mammograms to Accurately Predict Cardiovascular Risk in Women
Cardiovascular disease remains the leading cause of death in women worldwide, responsible for about nine million deaths annually. Despite this burden, symptoms and risk factors are often under-recognized... Read moreMRI
view channel
AI-Assisted Model Enhances MRI Heart Scans
A cardiac MRI can reveal critical information about the heart’s function and any abnormalities, but traditional scans take 30 to 90 minutes and often suffer from poor image quality due to patient movement.... Read more
AI Model Outperforms Doctors at Identifying Patients Most At-Risk of Cardiac Arrest
Hypertrophic cardiomyopathy is one of the most common inherited heart conditions and a leading cause of sudden cardiac death in young individuals and athletes. While many patients live normal lives, some... Read moreUltrasound
view channel
Ultrasound Probe Images Entire Organ in 4D
Disorders of blood microcirculation can have devastating effects, contributing to heart failure, kidney failure, and chronic diseases. However, existing imaging technologies cannot visualize the full network... Read more
Disposable Ultrasound Patch Performs Better Than Existing Devices
Wearable ultrasound devices are widely used in diagnostics, rehabilitation monitoring, and telemedicine, yet most existing models rely on lead-based piezoelectric ceramics that pose health and environmental risks.... Read moreNuclear Medicine
view channel
New Imaging Solution Improves Survival for Patients with Recurring Prostate Cancer
Detecting recurrent prostate cancer remains one of the most difficult challenges in oncology, as standard imaging methods such as bone scans and CT scans often fail to accurately locate small or early-stage tumors.... Read more
PET Tracer Enables Same-Day Imaging of Triple-Negative Breast and Urothelial Cancers
Triple-negative breast cancer (TNBC) and urothelial bladder carcinoma (UBC) are aggressive cancers often diagnosed at advanced stages, leaving limited time for effective treatment decisions.... Read more
New Camera Sees Inside Human Body for Enhanced Scanning and Diagnosis
Nuclear medicine scans like single-photon emission computed tomography (SPECT) allow doctors to observe heart function, track blood flow, and detect hidden diseases. However, current detectors are either... Read more
Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections
Mycobacteroides abscessus is a rapidly growing mycobacteria that primarily affects immunocompromised patients and those with underlying lung diseases, such as cystic fibrosis or chronic obstructive pulmonary... Read moreGeneral/Advanced Imaging
view channel
New Ultrasmall, Light-Sensitive Nanoparticles Could Serve as Contrast Agents
Medical imaging technologies face ongoing challenges in capturing accurate, detailed views of internal processes, especially in conditions like cancer, where tracking disease development and treatment... Read more
AI Algorithm Accurately Predicts Pancreatic Cancer Metastasis Using Routine CT Images
In pancreatic cancer, detecting whether the disease has spread to other organs is critical for determining whether surgery is appropriate. If metastasis is present, surgery is not recommended, yet current... 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 morePatient-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







