Main Ideas:

• There is reason to be optimistic about 2021, but uncertainty concerning the impact of COVID-19 will remain well into the new year.
• With attention from healthcare buyers continuing to be limited, identifying the best and most relevant opportunities for vendors to position products and services is critical.
• The impact of COVID-19 has begun a long-term shift in the way buyers think about procurement and the supply chain. As a vendor, it is essential to have the best insights into the context, outcomes, and evidence requirements of buyers to make the most of your time and resources.

Healthcare Equipment sales in 2020 were largely affected by COVID-19 in different ways. The Medical Imaging segment was one of the most affected by the events of 2020. How will this affect trends in 2021? Heres a snippet from the Vamstar whitepaper, COVID-19 Brings Healthcare Transformation.   

Medical imaging is one of the larger product markets in healthcare, and is comprised of several modalities including radiography, magnetic resonance imaging (MRI), ultrasound, positron emission tomography (PET/molecular imaging), and computed tomography (CT). Imaging has been widely used to detect cases of COVID-19, with CT being an early forerunner for detection, but more recently mobile digital radiography systems and point-of-care (POC) ultrasound have been used as they enable bedside imaging—particularly useful for triage as the number of patients surge through the winter months. Imaging is an area of continuous evolution, most notably on the software side and the coronavirus has served to push innovation in this space. Radiologists, once wary that AI might altogether supplant their role in hospitals and treatment centers, are increasingly warming to AI because of the clinical and operational benefits possible with the proper use and implementation of the technology. A significant primary benefit in using AI is speed and capacity: Even the most skillful radiologists cannot come close to matching the sheer volume of data that can be analyzed by AI algorithms. Moreover, AI can find complex patterns in images, such as molecular markers in tumors not discernible to the human eye. AI-driven algorithms can also help improve diagnostic workflows by reducing time spent on routine or manual operations involving patient setup, screening, measurement, segmentation, and formatting. Vamstar tracks the development of more than 350 algorithms for healthcare applications, this infographic provides a comprehensive list of those with regulatory approval and includes details on the developer, product name, application, and image source for each application. 

Below is an interactive infographic visual that shows a small amount of the information compiling capabilities that Vamstar offers. To learn more on how COVID-19 Brings Healthcare Transformation click here to download the entire whitepaper.