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The costs that are incurred by the inability to efficiently share images can be high for patients and healthcare providers alike. A recent study, by research company Peer60, found that radiology is no longer the only department that has a great need for the ability to transfer medical images quickly and effectively. Beyond radiology, the departments that most benefit from the implementation of an image sharing solution are:
With the critical nature of the departments listed above, it is clear that image sharing can have a huge impact in healthcare delivery across specialties. As such, it is critical for healthcare providers to select the solution that best delivers images both quickly and correctly. While image sharing can affect many departments, image studies are often only a small percentage of the total budget. At the same time, only a small number, approximately 4%, of image studies are ever accessed again after 6 months.
So the question becomes; “How do you constrain costs while avoiding negative impacts on image quality and ensuring quick, secure sharing with the people who need them most?” The answer is…
When looking for an image sharing solution that will best fit your needs, it is important to start simple and affordable. Using this approach, you will be able to evolve your image sharing system to achieve the highest levels of automation, performance, scalability and interoperability.
TeraRecon now offers a next-generation image sharing solution, with three powerful yet simplified configurations that help ensure that physicians can enjoy both a no-compromise clinical experience and reduced costs per study. The iShare medical imaging sharing solution allows you to start small, by first deploying a simple CD-elimination system, but as you grow the system can expand as well into other sharing scenarios that avoid any need for CD’s.
As you prepare for upcoming image sharing projects, learn more about your options by downloading our eBook: “Image Sharing: explore your needs carefully to ensure that costs are minimized and results are realized"