- Advanced visualization tools are expected to become a larger part of health IT infrastructure over the next several years as organizations seek better ways to view data collected by big data analytics solutions.
A recent Markets and Markets report predicts that the global advanced visualization solution is expected to grow at a CAGR of 11 percent through 2021. Organizations across all industries are implementing visualization solutions, but the report emphasized healthcare as the industry poised to be changed by advanced visualization the most over the projected period.
Advanced visualization solutions work with big data analytics solutions to automate how data is displayed to the end user. Advanced visualization solutions display related data and connections so end users don’t have to spend time building charts and organizing relevant data.
Factors driving the advanced visualization market in healthcare include technological advancements in advanced visualization software. This consists of integration of picture archiving and communication systems (PACS) & advanced visualization tools, improved diagnostic interpretation with advanced visualization tools, rising prevalence of target diseases, and growing demand for advanced diagnostic procedures.
However, report authors found that limited medical reimbursements for radiology-based diagnostic procedures and technological limitations associated with existing advanced visualization analysis may prevent some healthcare organizations from adopting new visualization solutions.
Another report released last year by Frost and Sullivan highlighted a similar need for visualization solutions to help clinicians view and analyze examination results.
“AV solutions are becoming an important element of the healthcare ecosystem as they enable physicians to access archived information and exchange it with other physicians over a common platform,” Frost & Sullivan Healthcare Research Director Siddharth Saha said in a statement. “With the aid of AV solutions, physicians can view information from different modalities on various platforms. They can also better integrate patient information from EHRs, PACS, and health information exchanges.”
Diagnostic imaging technology is a large reason why the market is expected to grow so rapidly over the next several years. Medical imagery has become more advanced over the past decade, allowing clinicians to view more detailed images including x-rays and MRI scans.
As more images are produced, they are stored as unstructured data and are difficult to use for analytics purposes without a system to organize them in a way that is easy understand and reference. Advanced visualization solutions are also necessary for successful examination of patient data.
Healthcare organizations are collecting increasing amounts of data as IT infrastructure evolves to include connected medical devices that are constantly collecting data.
Several organizations are currently working on solutions to use more medical imaging technology in diagnoses. Boston Children’s and GE Healthcare are collaborating to develop improved brain scan technology for better and more accurate diagnosis and to provide real-time contextual information for radiologists.
Using GE Health Cloud to process the high-volume of data and images, Boston Children’s Hospital lends its radiologists to assist in developing a new decision support platform intended to help distinguish the large variability in brain MRI scans. The system will provide doctors with scans of children of all ages with different conditions to use as reference points for reading scans.
Research collaborations similar to Boston Children’s and GE Healthcare are using advanced analytics and artificial intelligence to make connections between images. This will help to more accurately diagnose patients. Data needs to be displayed coherently for the clinician to effectively use that data, or it cannot be used as intended.
Advanced visualization technology is vital to organizations with big data analytics initiatives because it allows the clinician to make a better informed decisions based on data.