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January 21, 2022 — IBM and Francisco Partners, a leading global investment firm that specializes in partnering with ...
A battle is raging in imaging IT today. Once a profitable hunting ground for traditional picture archiving and communication system (PACS) firms, new market entrants from the content management, archiving and informatics market are looking to disrupt the status quo. Pushing “deconstruction,” “reconstruction” and “distributed” multi-vendor imaging IT models, they have grabbed the attention of healthcare providers.
The implementation of electronic health records (EHR) has created an expectation that all patient data, including images, should be available in one location. Today, reports describing images are not enough, as many referring physicians want to see the images, and many use them to help guide therapies. This has caused an increased demand to exchange medical images in the various departments of healthcare settings.
Cincinnati Children’s Hospital Medical Center (CCHMC), a 600-bed academic medical center, faced the dual challenges of long-term image storage and lack of true disaster recovery for full-fidelity images. With the implementation of Merge interoperability solutions, these important issues were addressed, workflow was improved and CCHMC now plans to further expand its archive beyond radiology and cardiology, across all specialties.
March 16, 2017 — MedyMatch Technology announced a collaboration with IBM Watson Health to bring MedyMatch’s artificial ...
Artificial intelligence (AI) has captured the imagination and attention of doctors over the past couple years as several companies and large research hospitals work to perfect these systems for clinical use. The first concrete examples of how AI (also called deep learning, machine learning or artificial neural networks) will help clinicians are now being commercialized. These systems may offer a paradigm shift in how clinicians work in an effort to significantly boost workflow efficiency, while at the same time improving care and patient throughput.
Organizations across the country — even globally — are taking a hard look at their imaging ecosystems and determining it is time for change. Most technology and clinical leaders have read, listened to and observed the imaging vendor narrative over the past few years while they focused primarily on deploying the electronic health records (HER). Now most feel comfortable enough — either internally or with the help of consultants — to tackle this next huge patient record initiative. Vendor neutral archives (VNA), viewers, workflow, analytics, integration and exchange are all under review as components of the enterprise imaging effort. The good news for those in this phase of discovery and analysis is that the pioneers are far enough down the path to prove that an enterprise approach can be incredibly successful and that there are organizational, clinical, technical and even financial benefits to adopting this model.
At RSNA 2016, the key buzzwords were “deep learning,” “machine learning” and “artificial intelligence.” Vendors and ...
Enterprise imaging as a concept has been around for several years, but many organizations are just turning their full attention to it now, according to Jef Williams, managing partner at Paragon Consulting Partners. This is because other health information technology (IT) endeavors have taken precedence, including electronic medical records (EMRs) and Meaningful Use. Now, as enterprise imaging comes to the forefront, Williams and other speakers at the 2016 annual meeting of the Association for Medical Imaging Management (AHRA) discussed the importance of having an enterprise imaging strategy and how to implement it.
The trend toward consolidation in the healthcare industry continues to climb, with U.S. hospital mergers and acquisitions at their highest since 1999.