Building a Post-Covid Imaging Ecosystem


For radiologists, or any doctors who rely heavily on imaging, technology is the key to simplifying your job. On a given day, physicians must access and review significant volumes of patient data and images, which can be time-consuming and tedious. Even for patients, managing so much data can be challenging. Fortunately, with the right imaging ecosystem, both patients and providers can easily store, share, and access important medical images and data. To build an effective imaging ecosystem, consider these key features.


Focus on the Patient Experience


For every provider, no matter their specialty, cultivating a positive patient experience should be their number one priority. This should also stand true for the virtual imaging ecosystem that a provider builds. While such a platform is designed for the use of physicians, it is crucial that it be cohesive to the patient experience and meets their needs as well.

For this reason, it is vital to consider user experience, particularly that of patients, when building an imaging ecosystem. A suitable ecosystem should be able to consolidate all patient images and data in one centralized location, ensuring that data is easy to find and access. Patients should be able to locate and access their information with ease, ensuring that the information they need is available at all times.

Additional considerations may include frequently asked questions, resources for additional information, and the means to contact their provider. Just as physicians benefit from a user-friendly application to alleviate their jobs, patients should also have a positive and seamless experience when using their imaging ecosystem. The easier it is for patients to access their images and data, the less they will need to interrupt their provider to find such information.


Enable a Data-Centered Platform


In addition to a focus on the patient experience, it is equally as important for your imaging ecosystem to be data-focused. While one purpose of this platform is to make it easier for image-heavy physicians to access patient images, it is also a tool for data sharing. The right ecosystem should enable pathways for both physicians and patients to store and access necessary data. For healthcare providers to do their job, they require access to patient images quickly and easily. As a result, the imaging platform they utilize must be able to support this level of seamless data access.

That being said, it is also necessary that the ecosystem be flexible enough to adapt to change and scalable enough to adjust to the volumes of data being input, no matter the amount. Depending on the number of patients a practice has or the amount of data assigned to one patient, data volume could fluctuate within the ecosystem reasonably often. It is vital that the imaging ecosystem can handle large volumes of data while quickly adjusting to changes in this volume.


Simplify A Radiologist’s Job


Your imaging platform must be able to handle significant and fluctuating volumes of data as a considerable aspect of a healthcare provider’s role, particularly in specialties such as radiology, is dealing with patient images and data. For an imaging ecosystem to benefit a physician, it must be able to make their job easier, and handling data is only one way of doing so. In addition to enabling easy access and review of patient records, your platform should also offer actionable insights.

Many imaging ecosystems are integrating AI, which allows for the creation of such actionable insights. Patients can upload images and data to then be analyzed by AI technology. Following this, when a physician reviews data, the imaging platform can make suggestions, identity highlighting information, and support diagnosis while considering patient context. As a result, physicians can make supported decisions faster and more accurately.

AI tools are also instrumental in performing simple tasks such as answering patient FAQs, locating specific files, and organizing and analyzing data. With these automated tasks, physicians can focus on more important tasks without disruption, allowing them to work more efficiently.


Integrate Data Between Systems


Most healthcare practices are new to adopting advanced imaging platforms, so data integration is necessary for adopting this new technology. For this reason, your imaging ecosystem must be able to integrate patient data no matter where it is sourced from - especially considering patient data could come from various sources. The ability to consolidate data into a single platform is essential, as it can simplify management and resource allocation, creating a better experience for both patients and providers.

In addition to integrating data from multiple sources, it is also essential that your imaging platform be compatible with other systems and devices. Compatibility with mobile devices, clinic computers, medical equipment, and remote monitoring devices is necessary. Having this capability will ensure that data is accessible from any location so that patients and providers have the information they need when they need it.

If this platform can be integrated with other systems, it also opens the door to further digital transformation. As more technological developments and medical devices become available, practices will be able to easily integrate it with their imaging ecosystem, ensuring optimal accessibility.


The Right Imaging Ecosystem Will Transform Your Practice


For medical specialties that are heavily reliant on imaging, building the right imaging ecosystem can make or break your practice. The right system will be able to make your job as a physician easier, enabling faster and more convenient access to patient images and data. Furthermore, with an AI-enabled ecosystem, your platform can even support diagnosis with patient context in mind.  

What once were time-consuming and tedious tasks can now be delegated to a highly intelligent system. As a result, physicians can focus on more pressing matters and avoid experiencing the burnout that so many healthcare providers struggle with today. In addition to alleviating providers' workload, an efficient imaging ecosystem can also improve the patient experience. Patients will have greater access to their images and data, all the while working with a physician that has the time and capacity to care for them.


Interested in learning how other practices have been transformed by Medicai? Download our case study!


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About the author - Alexandru Artimon

Co-founder of Medicai. Over 15 years of experience with deep expertise in enterprise healthcare systems software architecture. Graduated Computer Sciences, also has a Masters degree in parallel computing and cloud computing. Alex writes about developing large-scale enterprise applications using state-of-the-art software technologies in healthcare.

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